added questionaire and polish

app.py

@@ -6,31 +6,35 @@ import random
 import time
 import csv
 import uuid
+import shutil
 from datetime import datetime
+from functools import partial
 
 # --- Configuration ---
 AI_FOLDER = "./AI"
 HUMAN_FOLDER = "./Human"
-CSV_FILE = "emotion_responses.csv"
+PART1_CSV_FILE = "emotion_responses_part1.csv"
+PART2_CSV_FILE = "emotion_responses_part2.csv"
 METADATA_FILE = "stimuli_metadata.csv"
 DEBLUR_DURATION_S = 5  # Seconds to go from Blur -> Clear
 
 # --- Advanced Features Config ---
 URL_PARAM_PARTICIPANT_ID = "pid"
-RANDOMIZE_EMOTION_ORDER_DEFAULT = True
+# Keep emotion order fixed across all participants.
+RANDOMIZE_EMOTION_ORDER_DEFAULT = False
 RANDOMIZE_EMOTION_ORDER_PARAM = "randomize"
 CHOICE_PLACEHOLDER = "Select an emotion..."
 
+# --- Sampling Config ---
+BALANCE_SUBSET_DEFAULT = True
+MAX_PER_STRATUM = None  # Optionally set to an int to cap trials per (type, emotion)
+ALLOWED_ANGLES = {"forward"}  # Restrict to front-facing stimuli.
+
 # --- CSS STYLES ---
 APP_CSS = f"""
 #emotion_choice, #emotion_choice .wrap {{ max-height: 260px; overflow-y: auto; }}
-#next_btn {{ margin: 8px 0 12px 0; }}
-#start_btn,
-#start_btn button,
-#start_btn .gr-button,
-#next_btn,
-#next_btn button,
-#next_btn .gr-button {{
+#start_btn > button, 
+#next_btn > button {{
   font-size: 20px !important;
   padding: 12px 22px !important;
   min-height: 48px !important;
@@ -62,7 +66,13 @@ APP_CSS = f"""
 }}
 
 @media (max-width: 640px) {{
-  #img_anim img, #img_static img {{ max-height: 280px; object-fit: contain; }}
+  #img_anim img {{ max-height: 280px; object-fit: contain; }}
+}}
+
+#img_anim img {{
+  width: 100%;
+  height: 100%;
+  object-fit: contain;
 }}
 
 /* --- ANIMATED IMAGE (The Test) --- */
@@ -79,12 +89,16 @@ APP_CSS = f"""
     filter: blur(0px) !important;
 }}
 
-/* --- STATIC IMAGE (The Result) --- */
-/* No special CSS needed. It will just be a normal, clear image. 
-   We ensure it aligns perfectly with the animated one. */
-#img_static img {{
-    display: block;
-    filter: blur(0px);
+/* Snap instantly to clear when the participant selects an answer. */
+.image-snap {{
+    transition: none !important;
+    filter: blur(0px) !important;
+}}
+
+/* Force a blurred state immediately (used before loading the next image). */
+.image-preblur {{
+    transition: none !important;
+    filter: blur(50px) !important;
 }}
 
 #progress_text {{
@@ -93,6 +107,76 @@ APP_CSS = f"""
   line-height: 1.2;
 }}
 
+#part2_section {{
+  padding: 16px 20px;
+  box-sizing: border-box;
+}}
+
+#part2_section h1,
+#part2_section h2 {{
+  font-size: 44px !important;
+}}
+
+#part2_instructions_section {{
+  text-align: center;
+}}
+
+#part2_instructions_section h1 {{
+  font-size: 64px !important;
+  margin-bottom: 8px !important;
+}}
+
+#part2_instructions_section h2 {{
+  font-size: 28px !important;
+}}
+
+#part2_start_btn > button {{
+  font-size: 22px !important;
+  padding: 12px 26px !important;
+}}
+
+#part2_completion_text {{
+  text-align: center;
+}}
+
+#part2_completion_text h1 {{
+  font-size: 140px !important;
+  margin: 0 !important;
+  line-height: 1 !important;
+}}
+
+#part2_completion_text h2 {{
+  font-size: 48px !important;
+  margin-top: 8px !important;
+}}
+
+#part2_section input[type="number"] {{
+  font-size: 30px !important;
+  font-weight: 700 !important;
+}}
+
+#part2_section label,
+#part2_section .wrap label,
+#part2_section .wrap span {{
+  font-size: 20px !important;
+}}
+
+#part2_section .wrap {{
+  display: flex !important;
+  flex-direction: row !important;
+  flex-wrap: wrap !important;
+  gap: 8px 12px;
+}}
+
+#part2_section input[type="radio"] {{
+  transform: scale(1.35);
+  margin-right: 8px;
+}}
+
+#part2_section .wrap label {{
+  padding: 6px 10px !important;
+}}
+
 #app_title {{
   text-align: center;
   margin-bottom: 16px;
@@ -109,25 +193,79 @@ APP_CSS = f"""
 
 # --- Constants & Mappings ---
 UNKNOWN_LABEL = "unknown"
-UNKNOWN_CODE = 0
 FILENAME_FIELD_ORDER = ["emotion"]
 
-EMOTION_CODE_MAP = {"happy": 1, "sad": 2, "fearful": 3, "exuberant": 4, "unknown": 0}
-SEX_CODE_MAP = {"male": 1, "female": 2, "other": 3, "unknown": 0}
-ETHNICITY_CODE_MAP = {"caucasian": 1, "black": 2, "asian": 3, "latino": 4, "middle-eastern": 5, "indigenous": 6, "other": 7, "unknown": 0}
-ANGLE_CODE_MAP = {"forward": 1, "front-left": 2, "front-right": 3, "left": 4, "right": 5, "up": 6, "down": 7, "unknown": 0}
-TYPE_CODE_MAP = {"human": 1, "ai": 2, "unknown": 0}
-
-CSV_HEADERS = [
-    "participant_id", "session_id", "image_name", "image_source", "face_type", "face_type_code",
-    "correct_emotion", "correct_emotion_code", "face_sex", "face_sex_code", "face_ethnicity", "face_ethnicity_code",
-    "face_angle", "face_angle_code", "selected_emotion", "selected_emotion_code", "accuracy",
-    "response_time_ms", "button_order", "timestamp",
+# Fixed emotion set and order for all trials.
+EMOTION_CHOICES_ORDER = [
+    "neutral",
+    "happy",
+    "angry",
+    "afraid",
+    "disgusted",
+    "sad",
+    "surprised",
+]
+ALLOWED_EMOTIONS = set(EMOTION_CHOICES_ORDER)
+EMOTION_ALIASES = {
+    "fearful": "afraid",
+    "fear": "afraid",
+}
+
+# --- Stimulus Types ---
+STIMULUS_TYPE_REAL = "real_kdef"
+STIMULUS_TYPE_AI = "ai_kdef_like"
+
+# --- Ratings Config (Part 2) ---
+RATING_SCALE_MIN = 1
+RATING_SCALE_MAX = 7
+SCALE_CHOICES = list(range(RATING_SCALE_MIN, RATING_SCALE_MAX + 1))
+
+# --- Part 2 Rating Keys ---
+PART2_KEYS = ["age", "masc", "attr", "quality", "artifact"]
+
+# Part-specific outputs: one row per image per part, with minimal metadata.
+PART1_HEADERS = [
+    "participant_id",
+    "session_id",
+    "stimulus_id",
+    "stimulus_type",
+    "target_emotion",
+    "emotion_trial_index",
+    "emotion_rt_ms",
+    "selected_emotion",
+    "accuracy",
+    "emotion_timestamp",
+]
+
+PART2_HEADERS = [
+    "participant_id",
+    "session_id",
+    "stimulus_id",
+    "stimulus_type",
+    "target_emotion",
+    "matching_trial_index",
+    "match_age_rating",
+    "match_masc_rating",
+    "match_attr_rating",
+    "match_quality_rating",
+    "match_artifact_rating",
+    "matching_timestamp",
 ]
 
 # --- Data Structure ---
 class ImageData:
-    def __init__(self, path, source, emotion, sex=UNKNOWN_LABEL, ethnicity=UNKNOWN_LABEL, angle=UNKNOWN_LABEL, face_type=UNKNOWN_LABEL):
+    def __init__(
+        self,
+        path,
+        source,
+        emotion,
+        sex=UNKNOWN_LABEL,
+        ethnicity=UNKNOWN_LABEL,
+        angle=UNKNOWN_LABEL,
+        face_type=UNKNOWN_LABEL,
+        stimulus_type=UNKNOWN_LABEL,
+        stimulus_id="",
+    ):
         self.path = path
         self.source = source
         self.emotion = emotion
@@ -136,14 +274,19 @@ class ImageData:
         self.angle = angle
         self.face_type = face_type
         self.name = os.path.basename(path)
+        self.stimulus_id = stimulus_id or os.path.splitext(self.name)[0].strip().lower()
+        self.stimulus_type = stimulus_type or UNKNOWN_LABEL
 
 # --- Helper Functions ---
 def normalize_label(value):
     if value is None: return ""
     return str(value).strip().lower().replace(" ", "-")
 
-def get_code(code_map, label):
-    return code_map.get(normalize_label(label), UNKNOWN_CODE)
+def canonicalize_emotion(label):
+    norm = normalize_label(label)
+    if not norm:
+        return ""
+    return EMOTION_ALIASES.get(norm, norm)
 
 def load_metadata(metadata_path):
     if not os.path.exists(metadata_path): return {}
@@ -186,25 +329,107 @@ def resolve_face_type(metadata, source):
     if metadata and metadata.get("face_type"): return normalize_label(metadata.get("face_type"))
     return normalize_label(source)
 
-def ensure_csv_file():
-    if not os.path.exists(CSV_FILE):
-        with open(CSV_FILE, 'w', newline='') as f:
+def resolve_stimulus_type(face_type, source):
+    ft = normalize_label(face_type) or normalize_label(source)
+    if ft in {"human", "real", "real-kdef", "real_kdef"}:
+        return STIMULUS_TYPE_REAL
+    if ft in {"ai", "synthetic", "ai-kdef-like", "ai_kdef_like"}:
+        return STIMULUS_TYPE_AI
+    # Fall back to folder/source label.
+    return STIMULUS_TYPE_REAL if normalize_label(source) == "human" else STIMULUS_TYPE_AI
+
+def make_stimulus_id(filename):
+    stem = os.path.splitext(os.path.basename(filename))[0]
+    return stem.strip().lower()
+
+def select_balanced_subset(images, max_per_stratum=None):
+    if not images:
+        return []
+    strata = {}
+    for img in images:
+        key = (img.stimulus_type, img.emotion)
+        strata.setdefault(key, []).append(img)
+    counts = {k: len(v) for k, v in strata.items()}
+    if not counts:
+        return images
+    min_count = min(counts.values())
+    if max_per_stratum is not None:
+        min_count = min(min_count, int(max_per_stratum))
+    if min_count <= 0:
+        return images
+
+    sampled = []
+    for key, items in strata.items():
+        if len(items) <= min_count:
+            sampled.extend(items)
+        else:
+            sampled.extend(random.sample(items, k=min_count))
+    random.shuffle(sampled)
+    print(f"[DEBUG] Balanced subset: {len(sampled)} trials across {len(strata)} strata (per-stratum={min_count}).")
+    return sampled
+
+def build_row_template(state, image_data):
+    # Minimal row template: only fields that are written to the part CSVs.
+    return {
+        "participant_id": state.get("participant_id", ""),
+        "session_id": state.get("session_id", ""),
+        "stimulus_id": image_data.stimulus_id,
+        "stimulus_type": image_data.stimulus_type,
+        "target_emotion": image_data.emotion,
+        # Part 1 fields (filled in later).
+        "emotion_trial_index": "",
+        "emotion_rt_ms": "",
+        "selected_emotion": "",
+        "accuracy": "",
+        "emotion_timestamp": "",
+        # Part 2 fields (filled in later).
+        "matching_trial_index": "",
+        "match_age_rating": "",
+        "match_masc_rating": "",
+        "match_attr_rating": "",
+        "match_quality_rating": "",
+        "match_artifact_rating": "",
+        "matching_timestamp": "",
+    }
+
+def ensure_csv_file_for(file_path, headers):
+    if not os.path.exists(file_path):
+        with open(file_path, "w", newline="") as f:
             writer = csv.writer(f)
-            writer.writerow(CSV_HEADERS)
-        return CSV_FILE, ""
-    
-    with open(CSV_FILE, newline='') as f:
+            writer.writerow(headers)
+        return file_path, ""
+
+    with open(file_path, newline="") as f:
         reader = csv.reader(f)
         existing_header = next(reader, None)
-    if existing_header != CSV_HEADERS:
-        base, ext = os.path.splitext(CSV_FILE)
+    if existing_header != headers:
+        base, ext = os.path.splitext(file_path)
         timestamp = datetime.now().strftime("%Y%m%d_%H%M%S")
-        new_file = f"{base}_{timestamp}{ext or '.csv'}"
-        with open(new_file, 'w', newline='') as f:
+        backup_file = f"{base}_{timestamp}{ext or '.csv'}"
+        try:
+            shutil.copy2(file_path, backup_file)
+            backup_msg = f"Copied existing results to: {backup_file}"
+        except Exception as e:
+            backup_msg = f"Could not copy existing results ({e})."
+
+        # Reinitialize the base file with the expected header.
+        with open(file_path, "w", newline="") as f:
             writer = csv.writer(f)
-            writer.writerow(CSV_HEADERS)
-        return new_file, f"Using new results file: {new_file}"
-    return CSV_FILE, ""
+            writer.writerow(headers)
+        return file_path, f"{backup_msg}\nReinitialized results file: {file_path}"
+    return file_path, ""
+
+def ensure_csv_files():
+    part1_file, part1_status = ensure_csv_file_for(PART1_CSV_FILE, PART1_HEADERS)
+    part2_file, part2_status = ensure_csv_file_for(PART2_CSV_FILE, PART2_HEADERS)
+    statuses = [s for s in [part1_status, part2_status] if s]
+    status_lines = [
+        f"Part 1 file: {part1_file}",
+        f"Part 2 file: {part2_file}",
+    ]
+    status_lines.extend(statuses)
+    status_msg = "\n".join(status_lines)
+    return part1_file, part2_file, status_msg
 
 def get_participant_id(request):
     if request is None: return ""
@@ -215,7 +440,9 @@ def scan_images():
     images = []
     emotions = set()
     metadata = load_metadata(METADATA_FILE)
-    skipped = []
+    skipped_missing_emotion = []
+    skipped_angle = []
+    skipped_emotion = []
 
     for folder, source in [(AI_FOLDER, "AI"), (HUMAN_FOLDER, "Human")]:
         if not os.path.exists(folder): continue
@@ -226,20 +453,52 @@ def scan_images():
             meta = metadata.get(meta_key) or metadata.get(os.path.splitext(meta_key)[0]) or {}
             filename_fields = parse_filename_fields(path)
 
-            emotion = resolve_field(meta, filename_fields, "emotion", "")
+            emotion_raw = resolve_field(meta, filename_fields, "emotion", "")
+            emotion = canonicalize_emotion(emotion_raw)
             if not emotion or emotion == UNKNOWN_LABEL:
-                skipped.append(filename)
+                skipped_missing_emotion.append(filename)
+                continue
+            if emotion not in ALLOWED_EMOTIONS:
+                skipped_emotion.append((filename, emotion_raw))
                 continue
 
             sex = resolve_field(meta, filename_fields, "sex", UNKNOWN_LABEL)
             ethnicity = resolve_field(meta, filename_fields, "ethnicity", UNKNOWN_LABEL)
             angle = resolve_field(meta, filename_fields, "angle", UNKNOWN_LABEL)
+            if ALLOWED_ANGLES and angle not in ALLOWED_ANGLES:
+                skipped_angle.append((filename, angle))
+                continue
             face_type = resolve_face_type(meta, source) or UNKNOWN_LABEL
+            stimulus_type = resolve_stimulus_type(face_type, source)
+            stimulus_id = make_stimulus_id(filename)
 
             emotions.add(emotion)
-            images.append(ImageData(path, source, emotion, sex=sex, ethnicity=ethnicity, angle=angle, face_type=face_type))
+            images.append(
+                ImageData(
+                    path,
+                    source,
+                    emotion,
+                    sex=sex,
+                    ethnicity=ethnicity,
+                    angle=angle,
+                    face_type=face_type,
+                    stimulus_type=stimulus_type,
+                    stimulus_id=stimulus_id,
+                )
+            )
     
-    if skipped: print(f"[DEBUG] Skipped {len(skipped)} images without emotion label.")
+    if skipped_missing_emotion:
+        print(f"[DEBUG] Skipped {len(skipped_missing_emotion)} images without emotion label.")
+    if skipped_angle:
+        print(
+            f"[DEBUG] Filtered out {len(skipped_angle)} images due to angle "
+            f"(allowed={sorted(ALLOWED_ANGLES)})."
+        )
+    if skipped_emotion:
+        print(
+            f"[DEBUG] Filtered out {len(skipped_emotion)} images due to emotion "
+            f"(allowed={EMOTION_CHOICES_ORDER})."
+        )
     return images, emotions
 
 def crop_face(image_path, target_size=512):
@@ -295,19 +554,39 @@ def initialize_experiment(request: gr.Request):
     else:
         msg = f"Participant ID: {participant_id}"
 
-    csv_file, csv_status = ensure_csv_file()
-    
-    random.shuffle(images)
+    csv_file_part1, csv_file_part2, csv_status = ensure_csv_files()
+
+    # Optionally select a balanced subset across (stimulus_type, emotion).
+    selected_images = images
+    if BALANCE_SUBSET_DEFAULT:
+        balanced = select_balanced_subset(images, MAX_PER_STRATUM)
+        if balanced:
+            selected_images = balanced
+
+    available_emotions = {img.emotion for img in selected_images}
+    missing_emotions = [e for e in EMOTION_CHOICES_ORDER if e not in available_emotions]
+    if missing_emotions:
+        print(f"[DEBUG] No stimuli found for emotions: {missing_emotions}")
+    random.shuffle(selected_images)
     initial_state = {
         "participant_id": participant_id,
         "session_id": session_id,
-        "csv_file": csv_file,
-        "all_images": images,
-        "emotions": sorted(list(emotions)),
+        "csv_file": csv_file_part1,
+        "csv_file_part1": csv_file_part1,
+        "csv_file_part2": csv_file_part2,
+        "all_images": selected_images,
+        "part2_images": [],
+        # Fixed order across participants.
+        "emotions": list(EMOTION_CHOICES_ORDER),
         "current_index": -1,
         "current_choices": [],
         "randomize_emotions": RANDOMIZE_EMOTION_ORDER_DEFAULT,
         "start_time": None,
+        "phase": "emotion",
+        "part2_started": False,
+        "part2_index": -1,
+        "part2_start_time": None,
+        "part2_touched": {k: False for k in PART2_KEYS},
     }
     
     if request:
@@ -315,23 +594,56 @@ def initialize_experiment(request: gr.Request):
         if val and val.lower() in ['0','false','no']:
             initial_state["randomize_emotions"] = False
 
+    part2_images = list(selected_images)
+    random.shuffle(part2_images)
+    initial_state["part2_images"] = part2_images
+
     return initial_state, f"{msg}\n{csv_status}", gr.update(interactive=True)
 
 def start_interface(state):
     if not state: 
-        return gr.update(visible=True), gr.update(visible=True), gr.update(visible=False)
-    return gr.update(visible=False), gr.update(visible=False), gr.update(visible=True)
+        return (
+            gr.update(visible=True),
+            gr.update(visible=True),
+            gr.update(visible=False),
+            gr.update(visible=False),
+            gr.update(visible=False),
+        )
+    return (
+        gr.update(visible=False),
+        gr.update(visible=False),
+        gr.update(visible=True),
+        gr.update(visible=False),
+        gr.update(visible=False),
+    )
 
 def show_next_image(state):
-    # Returns: [state, img_anim, img_static, progress_text, anim_visible, static_visible, choices_update]
-    if not state: 
-        return state, None, None, "Error", gr.update(visible=False), gr.update(visible=False), gr.update(visible=False)
+    # Returns: [state, img_anim_update, progress_text, choices_update, next_btn_update]
+    if not state:
+        return (
+            state,
+            gr.update(visible=False, interactive=False),
+            "Error",
+            gr.update(visible=False, interactive=False),
+            gr.update(visible=False, interactive=False),
+        )
 
     state["current_index"] += 1
     index = state["current_index"]
 
     if index >= len(state["all_images"]):
-        return state, None, None, "# Experiment complete!", gr.update(visible=False), gr.update(visible=False), gr.update(visible=False)
+        state["part2_started"] = False
+        state["part2_index"] = -1
+        state["part2_start_time"] = None
+        state["part2_touched"] = {k: False for k in PART2_KEYS}
+        state["phase"] = "part2_instructions"
+        return (
+            state,
+            gr.update(visible=False),
+            "",
+            gr.update(visible=False, interactive=False),
+            gr.update(visible=False, interactive=False),
+        )
 
     image_data = state["all_images"][index]
     cropped_image = crop_face(image_data.path)
@@ -342,73 +654,314 @@ def show_next_image(state):
 
     state["start_time"] = time.monotonic()
     
+    # Keep emotion order fixed across all trials and participants.
     choices = list(state["emotions"])
-    if state.get("randomize_emotions"):
-        choices = random.sample(choices, k=len(choices))
     state["current_choices"] = choices
     choices_with_placeholder = [CHOICE_PLACEHOLDER] + choices
 
     return (
-        state, 
-        cropped_image, # For Animated Component
-        cropped_image, # For Static Component
-        f"Image {index + 1} of {len(state['all_images'])}", 
-        gr.update(visible=True, interactive=False), # Show Animated
-        gr.update(visible=False),                   # Hide Static
+        state,
+        gr.update(value=cropped_image, visible=True, interactive=False),
+        f"Image {index + 1} of {len(state['all_images'])}",
         gr.update(choices=choices_with_placeholder, value=CHOICE_PLACEHOLDER, visible=True, interactive=True),
+        gr.update(interactive=False, visible=True),
     )
 
+def update_sections_for_phase(state):
+    if not state:
+        return gr.update(), gr.update(), gr.update()
+    phase = state.get("phase")
+    if phase == "emotion":
+        return gr.update(visible=True), gr.update(visible=False), gr.update(visible=False)
+    if phase == "part2_instructions":
+        return gr.update(visible=False), gr.update(visible=True), gr.update(visible=False)
+    if phase in {"part2", "complete"}:
+        return gr.update(visible=False), gr.update(visible=False), gr.update(visible=True)
+    return gr.update(), gr.update(), gr.update()
+
+def start_part2(state):
+    if not state or state.get("phase") != "part2_instructions":
+        return state
+    state["phase"] = "part2"
+    state["part2_started"] = False
+    state["part2_index"] = -1
+    state["part2_start_time"] = None
+    state["part2_touched"] = {k: False for k in PART2_KEYS}
+    return state
+
 def on_emotion_select(state, selected_emotion):
-    # Returns: [anim_visible, static_visible, choices_interactive, next_btn_interactive]
+    # Returns: [state, image_update, choices_interactive, next_btn_interactive]
     if not state or not selected_emotion or normalize_label(selected_emotion) == normalize_label(CHOICE_PLACEHOLDER):
         # Do nothing if placeholder selected
-        return gr.update(), gr.update(), gr.update(), gr.update()
+        return state, gr.update(), gr.update(), gr.update()
     
     try:
         start_time = state.get("start_time") or time.monotonic()
         response_time_ms = int(round((time.monotonic() - start_time) * 1000))
         image_data = state["all_images"][state["current_index"]]
-        normalized_sel = normalize_label(selected_emotion)
+        normalized_sel = canonicalize_emotion(selected_emotion)
         accuracy = "correct" if normalized_sel == image_data.emotion else "incorrect"
-        
-        with open(state["csv_file"], 'a', newline='') as f:
+        trial_index = state.get("current_index", -1) + 1
+
+        row = build_row_template(
+            state,
+            image_data,
+        )
+        row["selected_emotion"] = normalized_sel
+        row["accuracy"] = accuracy
+
+        row["emotion_trial_index"] = trial_index
+        row["emotion_rt_ms"] = response_time_ms
+        row["emotion_timestamp"] = datetime.now().isoformat()
+
+        part1_file = state.get("csv_file_part1") or state.get("csv_file")
+        with open(part1_file, "a", newline="") as f:
             writer = csv.writer(f)
-            writer.writerow([
-                state["participant_id"], state["session_id"], image_data.name, image_data.source,
-                image_data.face_type, get_code(TYPE_CODE_MAP, image_data.face_type),
-                image_data.emotion, get_code(EMOTION_CODE_MAP, image_data.emotion),
-                image_data.sex, get_code(SEX_CODE_MAP, image_data.sex),
-                image_data.ethnicity, get_code(ETHNICITY_CODE_MAP, image_data.ethnicity),
-                image_data.angle, get_code(ANGLE_CODE_MAP, image_data.angle),
-                normalized_sel, get_code(EMOTION_CODE_MAP, normalized_sel),
-                accuracy, response_time_ms, "|".join(state.get("current_choices", [])),
-                datetime.now().isoformat(),
-            ])
-        print(f"[DEBUG] Saved {normalized_sel} ({response_time_ms}ms)")
+            writer.writerow([row[h] for h in PART1_HEADERS])
+        print(f"[DEBUG] Saved Part 1 rating ({normalized_sel}, {response_time_ms}ms) -> {part1_file}")
     except Exception as e:
         print(f"Error saving CSV: {e}")
 
     # Hide Animated, Show Static (Snap), Disable Dropdown, Enable Next
-    return gr.update(visible=False), gr.update(visible=True), gr.update(interactive=False), gr.update(interactive=True)
+    return (
+        state,
+        gr.update(visible=True, interactive=False),
+        gr.update(interactive=False),
+        gr.update(interactive=True),
+    )
+
+# --- Part 2 Helpers ---
+
+def _to_int(value):
+    if value is None or value == "":
+        return ""
+    try:
+        return int(value)
+    except Exception:
+        return ""
+
+# --- Part 2: Face Rating Logic ---
+
+def start_part2_phase(state):
+    # Returns: [state, main_section, part2_section]
+    if not state or state.get("phase") != "part2" or state.get("part2_started"):
+        return state, gr.update(), gr.update()
+    state["part2_started"] = True
+    state["part2_index"] = -1
+    state["part2_start_time"] = None
+    state["part2_touched"] = {k: False for k in PART2_KEYS}
+    return state, gr.update(visible=False), gr.update(visible=True)
+
+def _no_part2_updates(state):
+    # Returns: [state, part2_image, part2_progress_text, part2_status_text, part2_completion_text,
+    #           part2_age_radio, part2_masc_radio, part2_attr_radio, part2_quality_radio, part2_artifact_radio,
+    #           part2_next_btn]
+    return (
+        state,
+        gr.update(visible=False),
+        gr.update(value="", visible=False),
+        gr.update(value="", visible=False),
+        gr.update(),
+        gr.update(),
+        gr.update(),
+        gr.update(),
+        gr.update(),
+        gr.update(),
+        gr.update(),
+    )
+
+def _part2_reset_updates():
+    return (
+        gr.update(value=None, interactive=True),  # part2_age_radio
+        gr.update(value=None, interactive=True),  # part2_masc_radio
+        gr.update(value=None, interactive=True),  # part2_attr_radio
+        gr.update(value=None, interactive=True),  # part2_quality_radio
+        gr.update(value=None, interactive=True),  # part2_artifact_radio
+    )
+
+def show_next_part2_image(state):
+    if not state or state.get("phase") != "part2" or not state.get("part2_started"):
+        return _no_part2_updates(state)
+
+    images = state.get("part2_images") or state.get("all_images") or []
+    state["part2_index"] = state.get("part2_index", -1) + 1
+    index = state["part2_index"]
+
+    if index >= len(images):
+        state["phase"] = "complete"
+        completion_md = "# ✅\n## Complete!"
+        return (
+            state,
+            gr.update(value=None, visible=False),
+            gr.update(value="", visible=False),
+            gr.update(value="", visible=False),
+            gr.update(value=completion_md, visible=True),
+            gr.update(interactive=False),
+            gr.update(interactive=False),
+            gr.update(interactive=False),
+            gr.update(interactive=False),
+            gr.update(interactive=False),
+            gr.update(interactive=False),
+        )
+
+    image_data = images[index]
+    cropped_image = crop_face(image_data.path)
+    if cropped_image is None:
+        return show_next_part2_image(state)
+
+    state["part2_start_time"] = time.monotonic()
+    state["part2_touched"] = {k: False for k in PART2_KEYS}
+    reset_updates = _part2_reset_updates()
+
+    return (
+        state,
+        gr.update(value=cropped_image, visible=True),
+        gr.update(value=f"Image {index + 1} of {len(images)}", visible=True),
+        gr.update(value="Rate all five items to enable Next.", visible=True),
+        gr.update(value="", visible=False),
+        reset_updates[0],
+        reset_updates[1],
+        reset_updates[2],
+        reset_updates[3],
+        reset_updates[4],
+        gr.update(interactive=False),
+    )
+
+def _mark_part2_touched(state, _value, key):
+    if not state or state.get("phase") != "part2" or not state.get("part2_started"):
+        return state, gr.update(), gr.update(), gr.update()
+    touched = dict(state.get("part2_touched") or {})
+    touched[key] = _value not in (None, "")
+    state["part2_touched"] = touched
+    ready = all(touched.get(k, False) for k in PART2_KEYS)
+    message = "All items answered. Click Next." if ready else "Rate all five items to continue."
+    return state, gr.update(interactive=ready), gr.update(message), gr.update()
+
+def advance_part2(state, age_rating, masc_rating, attr_rating, quality_rating, artifact_rating):
+    if not state or state.get("phase") != "part2" or not state.get("part2_started"):
+        return _no_part2_updates(state)
+
+    values = {
+        "age": age_rating,
+        "masc": masc_rating,
+        "attr": attr_rating,
+        "quality": quality_rating,
+        "artifact": artifact_rating,
+    }
+    missing = [k for k, v in values.items() if v in (None, "")]
+    if missing:
+        state["part2_touched"] = {k: (values[k] not in (None, "")) for k in PART2_KEYS}
+        return (
+            state,
+            gr.update(),
+            gr.update(),
+            gr.update("Please answer all five items before continuing."),
+            gr.update(),
+            gr.update(),
+            gr.update(),
+            gr.update(),
+            gr.update(),
+            gr.update(),
+            gr.update(interactive=False),
+        )
+
+    images = state.get("part2_images") or state.get("all_images") or []
+    index = state.get("part2_index", -1)
+    if index < 0 or index >= len(images):
+        return (
+            state,
+            gr.update(),
+            gr.update(),
+            gr.update("No rating target available."),
+            gr.update(),
+            gr.update(),
+            gr.update(),
+            gr.update(),
+            gr.update(),
+            gr.update(),
+            gr.update(interactive=False),
+        )
+
+    start_time = state.get("part2_start_time") or time.monotonic()
+    response_time_ms = int(round((time.monotonic() - start_time) * 1000))
+    image_data = images[index]
+    trial_index = index + 1
+
+    try:
+        row = build_row_template(
+            state,
+            image_data,
+        )
+        row["match_age_rating"] = _to_int(age_rating)
+        row["match_masc_rating"] = _to_int(masc_rating)
+        row["match_attr_rating"] = _to_int(attr_rating)
+        row["match_quality_rating"] = _to_int(quality_rating)
+        row["match_artifact_rating"] = _to_int(artifact_rating)
+
+        row["matching_trial_index"] = trial_index
+        row["matching_timestamp"] = datetime.now().isoformat()
+
+        part2_file = state.get("csv_file_part2") or state.get("csv_file")
+        with open(part2_file, "a", newline="") as f:
+            writer = csv.writer(f)
+            writer.writerow([row[h] for h in PART2_HEADERS])
+        print(f"[DEBUG] Saved Part 2 ratings ({response_time_ms}ms) -> {part2_file}")
+    except Exception as e:
+        print(f"Error saving Part 2 CSV: {e}")
+        return (
+            state,
+            gr.update(),
+            gr.update(),
+            gr.update(f"Error saving ratings: {e}"),
+            gr.update(),
+            gr.update(),
+            gr.update(),
+            gr.update(),
+            gr.update(),
+            gr.update(),
+            gr.update(interactive=True),
+        )
+
+    return show_next_part2_image(state)
 
 # --- JAVASCRIPT ---
 # Logic: Find the animated image element, reset its class to remove 'image-clear',
 # force a reflow, then add 'image-clear' to start the transition.
 js_functions = """
 () => {
+    window.preBlur = function() {
+        const el = document.querySelector("#img_anim img");
+        if (!el) return;
+        // Immediately remove any clear/snap state and force a blurred render.
+        el.classList.remove("image-clear");
+        el.classList.remove("image-snap");
+        el.classList.add("image-preblur");
+        el.style.transition = "none";
+        el.style.filter = "blur(50px)";
+        void el.offsetWidth;
+    };
+
     window.triggerDeblur = function() {
         const el = document.querySelector("#img_anim img");
         if (el) {
-            // 1. Reset to start state (Blurred)
+            // Ensure we start from a blurred state, then animate to clear.
+            window.preBlur();
+            requestAnimationFrame(() => {
+                requestAnimationFrame(() => {
+                    el.style.transition = "";
+                    el.style.filter = "";
+                    el.classList.remove("image-preblur");
+                    el.classList.add("image-clear");
+                });
+            });
+        }
+    };
+
+    window.snapClear = function() {
+        const el = document.querySelector("#img_anim img");
+        if (el) {
             el.classList.remove('image-clear');
-            
-            // 2. Force Browser Reflow (Crucial for restarting CSS animations)
-            void el.offsetWidth; 
-            
-            // 3. Start Animation
-            setTimeout(() => {
-                el.classList.add('image-clear');
-            }, 100); 
+            el.classList.add('image-snap');
         }
     };
 }
@@ -431,8 +984,6 @@ with gr.Blocks(theme=gr.themes.Soft(), css=APP_CSS) as app:
         with gr.Group():
             # Animated Image: Visible initially, performs blur->clear
             image_anim = gr.Image(label="", elem_id="img_anim", height=400, width=400, interactive=False, show_label=False, visible=True)
-            # Static Image: Hidden initially, shows instantly when user selects answer
-            image_static = gr.Image(label="", elem_id="img_static", height=400, width=400, interactive=False, show_label=False, visible=False)
         
         progress_text = gr.Markdown("", elem_id="progress_text")
         
@@ -440,6 +991,63 @@ with gr.Blocks(theme=gr.themes.Soft(), css=APP_CSS) as app:
         emotion_choice = gr.Radio(choices=[], label="Select the emotion", visible=False, interactive=True, elem_id="emotion_choice")
         next_image_btn = gr.Button("Next Image ▶", variant="secondary", visible=True, interactive=False, elem_id="next_btn")
 
+    # 3. Part 2 Instructions
+    with gr.Column(visible=False, elem_id="part2_instructions_section") as part2_instructions_section:
+        gr.Markdown(
+            "# Part 2\n"
+            "## You will now rate each face on several dimensions.\n"
+            "## Use the 1–7 scale for each item, then click Next Face ▶."
+        )
+        part2_start_btn = gr.Button("Start Part 2 ▶", variant="primary", elem_id="part2_start_btn")
+
+    # 4. Part 2: Rate The Images
+    with gr.Column(visible=False, elem_id="part2_section") as part2_section:
+        gr.Markdown(
+            "# Rate The Images\n"
+            "## Use the 1–7 scale for each item."
+        )
+        with gr.Row():
+            with gr.Column(scale=1):
+                part2_image = gr.Image(
+                    label="",
+                    height=400,
+                    width=400,
+                    interactive=False,
+                    show_label=False,
+                    visible=False,
+                )
+                part2_progress_text = gr.Markdown("", visible=False)
+                part2_status_text = gr.Markdown("", visible=False)
+                part2_completion_text = gr.Markdown("", elem_id="part2_completion_text", visible=False)
+            with gr.Column(scale=1):
+                part2_age_radio = gr.Radio(
+                    choices=SCALE_CHOICES,
+                    value=None,
+                    label="Perceived age (1 = very young, 7 = very old)",
+                )
+                part2_masc_radio = gr.Radio(
+                    choices=SCALE_CHOICES,
+                    value=None,
+                    label="Femininity–masculinity (1 = very feminine, 7 = very masculine)",
+                )
+                part2_attr_radio = gr.Radio(
+                    choices=SCALE_CHOICES,
+                    value=None,
+                    label="Attractiveness (1 = not at all, 7 = very attractive)",
+                )
+                part2_quality_radio = gr.Radio(
+                    choices=SCALE_CHOICES,
+                    value=None,
+                    label="Image quality (1 = very poor, 7 = excellent)",
+                )
+                part2_artifact_radio = gr.Radio(
+                    choices=SCALE_CHOICES,
+                    value=None,
+                    label="Artifacts / oddness (1 = none, 7 = a lot)",
+                )
+
+                part2_next_btn = gr.Button("Next Face ▶", variant="primary", interactive=False)
+
     # --- Event Wiring ---
 
     # App Load
@@ -447,11 +1055,23 @@ with gr.Blocks(theme=gr.themes.Soft(), css=APP_CSS) as app:
 
     # Start Button -> Show Interface -> Load First Image -> Trigger Animation
     start_btn.click(
-        fn=start_interface, inputs=[state], outputs=[instructions_section, start_btn, main_section]
+        fn=start_interface,
+        inputs=[state],
+        outputs=[instructions_section, start_btn, main_section, part2_instructions_section, part2_section],
+        show_progress="hidden",
+        js="() => window.preBlur && window.preBlur()",
+    ).then(
+        fn=show_next_image,
+        inputs=[state],
+        outputs=[state, image_anim, progress_text, emotion_choice, next_image_btn],
     ).then(
-        fn=show_next_image, 
-        inputs=[state], 
-        outputs=[state, image_anim, image_static, progress_text, image_anim, image_static, emotion_choice]
+        fn=update_sections_for_phase,
+        inputs=[state],
+        outputs=[
+            main_section,
+            part2_instructions_section,
+            part2_section,
+        ],
     ).then(
         fn=None, js="() => window.triggerDeblur()"
     )
@@ -460,17 +1080,122 @@ with gr.Blocks(theme=gr.themes.Soft(), css=APP_CSS) as app:
     emotion_choice.change(
         fn=on_emotion_select, 
         inputs=[state, emotion_choice], 
-        outputs=[image_anim, image_static, emotion_choice, next_image_btn]
+        outputs=[state, image_anim, emotion_choice, next_image_btn],
+        show_progress="hidden",
+    ).then(
+        fn=None, js="() => window.snapClear()"
     )
 
     # Next Button -> Load New Image -> Reset Layout -> Trigger Animation
     next_image_btn.click(
-        fn=show_next_image, 
-        inputs=[state], 
-        outputs=[state, image_anim, image_static, progress_text, image_anim, image_static, emotion_choice]
+        fn=show_next_image,
+        inputs=[state],
+        outputs=[state, image_anim, progress_text, emotion_choice, next_image_btn],
+        show_progress="hidden",
+        js="() => window.preBlur && window.preBlur()",
+    ).then(
+        fn=update_sections_for_phase,
+        inputs=[state],
+        outputs=[
+            main_section,
+            part2_instructions_section,
+            part2_section,
+        ],
     ).then(
         fn=None, js="() => window.triggerDeblur()"
     )
 
+    # Part 2 Start -> Show ratings block -> Load first rating image
+    part2_start_btn.click(
+        fn=start_part2,
+        inputs=[state],
+        outputs=[state],
+        show_progress="hidden",
+    ).then(
+        fn=update_sections_for_phase,
+        inputs=[state],
+        outputs=[
+            main_section,
+            part2_instructions_section,
+            part2_section,
+        ],
+    ).then(
+        fn=start_part2_phase,
+        inputs=[state],
+        outputs=[
+            state,
+            main_section,
+            part2_section,
+        ],
+    ).then(
+        fn=show_next_part2_image,
+        inputs=[state],
+        outputs=[
+            state,
+            part2_image,
+            part2_progress_text,
+            part2_status_text,
+            part2_completion_text,
+            part2_age_radio,
+            part2_masc_radio,
+            part2_attr_radio,
+            part2_quality_radio,
+            part2_artifact_radio,
+            part2_next_btn,
+        ],
+    )
+
+    # Part 2 gating: require interaction with all five ratings
+    part2_age_radio.change(
+        fn=partial(_mark_part2_touched, key="age"),
+        inputs=[state, part2_age_radio],
+        outputs=[state, part2_next_btn, part2_status_text, part2_completion_text],
+        show_progress="hidden",
+    )
+    part2_masc_radio.change(
+        fn=partial(_mark_part2_touched, key="masc"),
+        inputs=[state, part2_masc_radio],
+        outputs=[state, part2_next_btn, part2_status_text, part2_completion_text],
+        show_progress="hidden",
+    )
+    part2_attr_radio.change(
+        fn=partial(_mark_part2_touched, key="attr"),
+        inputs=[state, part2_attr_radio],
+        outputs=[state, part2_next_btn, part2_status_text, part2_completion_text],
+        show_progress="hidden",
+    )
+    part2_quality_radio.change(
+        fn=partial(_mark_part2_touched, key="quality"),
+        inputs=[state, part2_quality_radio],
+        outputs=[state, part2_next_btn, part2_status_text, part2_completion_text],
+        show_progress="hidden",
+    )
+    part2_artifact_radio.change(
+        fn=partial(_mark_part2_touched, key="artifact"),
+        inputs=[state, part2_artifact_radio],
+        outputs=[state, part2_next_btn, part2_status_text, part2_completion_text],
+        show_progress="hidden",
+    )
+
+    # Part 2 Next -> Save and advance
+    part2_next_btn.click(
+        fn=advance_part2,
+        inputs=[state, part2_age_radio, part2_masc_radio, part2_attr_radio, part2_quality_radio, part2_artifact_radio],
+        outputs=[
+            state,
+            part2_image,
+            part2_progress_text,
+            part2_status_text,
+            part2_completion_text,
+            part2_age_radio,
+            part2_masc_radio,
+            part2_attr_radio,
+            part2_quality_radio,
+            part2_artifact_radio,
+            part2_next_btn,
+        ],
+        show_progress="hidden",
+    )
+
 if __name__ == "__main__":
     app.launch()

emotion_responses.csv

@@ -1,109 +0,0 @@
-participant_id,session_id,image_name,image_source,face_type,face_type_code,correct_emotion,correct_emotion_code,face_sex,face_sex_code,face_ethnicity,face_ethnicity_code,face_angle,face_angle_code,selected_emotion,selected_emotion_code,accuracy,response_time_ms,button_order,timestamp
-anon-293b45d4-bb79-4821-916d-a1fb77799b2b,293b45d4-bb79-4821-916d-a1fb77799b2b,woman_surprised.png,Human,human,1,surprised,4,unknown,0,unknown,0,unknown,0,surprised,4,correct,7226,surprised|disgusted|happy|angry,2026-01-08T20:14:30.560025
-anon-293b45d4-bb79-4821-916d-a1fb77799b2b,293b45d4-bb79-4821-916d-a1fb77799b2b,man_angry.png,Human,human,1,angry,3,unknown,0,unknown,0,unknown,0,angry,3,correct,9197,happy|surprised|disgusted|angry,2026-01-08T20:14:40.821270
-anon-c4a3c916-e736-4de4-913c-b84e29660747,c4a3c916-e736-4de4-913c-b84e29660747,kid_surprised.png,AI,ai,2,surprised,4,unknown,0,unknown,0,unknown,0,disgusted,5,incorrect,8907,happy|angry|disgusted|surprised,2026-01-08T20:17:48.571466
-anon-c4a3c916-e736-4de4-913c-b84e29660747,c4a3c916-e736-4de4-913c-b84e29660747,woman_disgusted.png,Human,human,1,disgusted,5,unknown,0,unknown,0,unknown,0,disgusted,5,correct,4333,surprised|disgusted|happy|angry,2026-01-08T20:17:55.467188
-anon-c4a3c916-e736-4de4-913c-b84e29660747,c4a3c916-e736-4de4-913c-b84e29660747,man_angry.png,Human,human,1,angry,3,unknown,0,unknown,0,unknown,0,happy,1,incorrect,6839,happy|angry|surprised|disgusted,2026-01-08T20:18:10.221377
-anon-c4a3c916-e736-4de4-913c-b84e29660747,c4a3c916-e736-4de4-913c-b84e29660747,woman2_happy.png,AI,ai,2,happy,1,unknown,0,unknown,0,unknown,0,angry,3,incorrect,3415,happy|surprised|angry|disgusted,2026-01-08T20:18:15.074756
-anon-c4a3c916-e736-4de4-913c-b84e29660747,c4a3c916-e736-4de4-913c-b84e29660747,oldman_angry.png,AI,ai,2,angry,3,unknown,0,unknown,0,unknown,0,happy,1,incorrect,1693,surprised|happy|angry|disgusted,2026-01-08T20:18:17.922186
-anon-c4a3c916-e736-4de4-913c-b84e29660747,c4a3c916-e736-4de4-913c-b84e29660747,woman_surprised.png,Human,human,1,surprised,4,unknown,0,unknown,0,unknown,0,surprised,4,correct,936,angry|disgusted|happy|surprised,2026-01-08T20:18:19.603907
-anon-90019529-c56c-4dc3-83ed-744cd30d6d7e,90019529-c56c-4dc3-83ed-744cd30d6d7e,woman2_happy.png,AI,ai,2,happy,1,unknown,0,unknown,0,unknown,0,angry,3,incorrect,3358,happy|angry|disgusted|surprised,2026-01-08T20:24:34.229398
-anon-90019529-c56c-4dc3-83ed-744cd30d6d7e,90019529-c56c-4dc3-83ed-744cd30d6d7e,man_angry.png,Human,human,1,angry,3,unknown,0,unknown,0,unknown,0,disgusted,5,incorrect,1771,happy|surprised|disgusted|angry,2026-01-08T20:24:37.144745
-anon-0819290d-1006-43fc-8b44-c2d564710e3e,0819290d-1006-43fc-8b44-c2d564710e3e,kid_surprised.png,AI,ai,2,surprised,4,unknown,0,unknown,0,unknown,0,happy,1,incorrect,4620,surprised|angry|disgusted|happy,2026-01-08T20:24:57.620828
-anon-0819290d-1006-43fc-8b44-c2d564710e3e,0819290d-1006-43fc-8b44-c2d564710e3e,woman_surprised.png,Human,human,1,surprised,4,unknown,0,unknown,0,unknown,0,disgusted,5,incorrect,7994,angry|surprised|disgusted|happy,2026-01-08T20:25:06.930289
-anon-8c1f7011-2d88-420c-b67e-421c07f2a340,8c1f7011-2d88-420c-b67e-421c07f2a340,oldman_angry.png,AI,ai,2,angry,3,male,1,caucasian,1,forward,1,angry,3,correct,1731,angry|disgusted|surprised|happy,2026-01-08T20:28:40.158440
-anon-8c1f7011-2d88-420c-b67e-421c07f2a340,8c1f7011-2d88-420c-b67e-421c07f2a340,kid_surprised.png,AI,ai,2,surprised,4,female,2,caucasian,1,forward,1,surprised,4,correct,1231,happy|surprised|angry|disgusted,2026-01-08T20:28:42.069297
-anon-8c1f7011-2d88-420c-b67e-421c07f2a340,8c1f7011-2d88-420c-b67e-421c07f2a340,woman2_happy.png,AI,ai,2,happy,1,female,2,black,2,forward,1,happy,1,correct,943,angry|disgusted|happy|surprised,2026-01-08T20:28:43.460471
-anon-8c1f7011-2d88-420c-b67e-421c07f2a340,8c1f7011-2d88-420c-b67e-421c07f2a340,woman_disgusted.png,Human,human,1,disgusted,5,female,2,caucasian,1,front-left,2,angry,3,incorrect,937,disgusted|happy|surprised|angry,2026-01-08T20:28:45.133349
-anon-8c1f7011-2d88-420c-b67e-421c07f2a340,8c1f7011-2d88-420c-b67e-421c07f2a340,woman_surprised.png,Human,human,1,surprised,4,female,2,caucasian,1,front-right,3,disgusted,5,incorrect,860,disgusted|angry|surprised|happy,2026-01-08T20:28:46.770888
-anon-8c1f7011-2d88-420c-b67e-421c07f2a340,8c1f7011-2d88-420c-b67e-421c07f2a340,man_angry.png,Human,human,1,angry,3,male,1,black,2,forward,1,happy,1,incorrect,1254,angry|surprised|happy|disgusted,2026-01-08T20:28:48.598528
-anon-4b299a41-fc84-4d91-ac64-63c7995a8e8c,4b299a41-fc84-4d91-ac64-63c7995a8e8c,kid_surprised.png,AI,ai,2,surprised,4,female,2,caucasian,1,forward,1,disgusted,5,incorrect,1178,disgusted|angry|happy|surprised,2026-01-08T20:32:29.882922
-anon-4b299a41-fc84-4d91-ac64-63c7995a8e8c,4b299a41-fc84-4d91-ac64-63c7995a8e8c,woman_disgusted.png,Human,human,1,disgusted,5,female,2,caucasian,1,front-left,2,happy,1,incorrect,847,angry|happy|surprised|disgusted,2026-01-08T20:32:32.561794
-anon-4b299a41-fc84-4d91-ac64-63c7995a8e8c,4b299a41-fc84-4d91-ac64-63c7995a8e8c,oldman_angry.png,AI,ai,2,angry,3,male,1,caucasian,1,forward,1,surprised,4,incorrect,613,angry|happy|surprised|disgusted,2026-01-08T20:32:33.831538
-anon-4b299a41-fc84-4d91-ac64-63c7995a8e8c,4b299a41-fc84-4d91-ac64-63c7995a8e8c,woman_surprised.png,Human,human,1,surprised,4,female,2,caucasian,1,front-right,3,surprised,4,correct,494,angry|disgusted|happy|surprised,2026-01-08T20:32:34.849506
-anon-4b299a41-fc84-4d91-ac64-63c7995a8e8c,4b299a41-fc84-4d91-ac64-63c7995a8e8c,woman2_happy.png,AI,ai,2,happy,1,female,2,black,2,forward,1,happy,1,correct,805,disgusted|happy|surprised|angry,2026-01-08T20:32:36.389731
-anon-4b299a41-fc84-4d91-ac64-63c7995a8e8c,4b299a41-fc84-4d91-ac64-63c7995a8e8c,man_angry.png,Human,human,1,angry,3,male,1,black,2,forward,1,disgusted,5,incorrect,667,happy|surprised|disgusted|angry,2026-01-08T20:32:37.746231
-anon-800cad3a-e396-44e3-b225-68e2880ceadf,800cad3a-e396-44e3-b225-68e2880ceadf,woman_surprised.png,Human,human,1,surprised,4,female,2,caucasian,1,front-right,3,disgusted,5,incorrect,1102,disgusted|angry|surprised|happy,2026-01-08T20:32:47.661429
-anon-800cad3a-e396-44e3-b225-68e2880ceadf,800cad3a-e396-44e3-b225-68e2880ceadf,kid_surprised.png,AI,ai,2,surprised,4,female,2,caucasian,1,forward,1,angry,3,incorrect,2565,happy|disgusted|surprised|angry,2026-01-08T20:32:51.774891
-anon-800cad3a-e396-44e3-b225-68e2880ceadf,800cad3a-e396-44e3-b225-68e2880ceadf,woman2_happy.png,AI,ai,2,happy,1,female,2,black,2,forward,1,surprised,4,incorrect,828,disgusted|happy|surprised|angry,2026-01-08T20:32:53.701283
-anon-800cad3a-e396-44e3-b225-68e2880ceadf,800cad3a-e396-44e3-b225-68e2880ceadf,woman_disgusted.png,Human,human,1,disgusted,5,female,2,caucasian,1,front-left,2,happy,1,incorrect,1475,happy|angry|surprised|disgusted,2026-01-08T20:32:56.217087
-anon-800cad3a-e396-44e3-b225-68e2880ceadf,800cad3a-e396-44e3-b225-68e2880ceadf,oldman_angry.png,AI,ai,2,angry,3,male,1,caucasian,1,forward,1,surprised,4,incorrect,5211,disgusted|surprised|happy|angry,2026-01-08T20:33:02.344766
-anon-800cad3a-e396-44e3-b225-68e2880ceadf,800cad3a-e396-44e3-b225-68e2880ceadf,man_angry.png,Human,human,1,angry,3,male,1,black,2,forward,1,happy,1,incorrect,1167,happy|angry|surprised|disgusted,2026-01-08T20:33:04.307786
-anon-6bfd56f1-e24e-4bf8-8d4f-e1695c1a0acd,6bfd56f1-e24e-4bf8-8d4f-e1695c1a0acd,oldman_angry.png,AI,ai,2,angry,3,male,1,caucasian,1,forward,1,disgusted,5,incorrect,1240,surprised|disgusted|happy|angry,2026-01-08T20:33:17.946078
-anon-6bfd56f1-e24e-4bf8-8d4f-e1695c1a0acd,6bfd56f1-e24e-4bf8-8d4f-e1695c1a0acd,woman_disgusted.png,Human,human,1,disgusted,5,female,2,caucasian,1,front-left,2,surprised,4,incorrect,3260,angry|disgusted|surprised|happy,2026-01-08T20:33:22.407241
-anon-6bfd56f1-e24e-4bf8-8d4f-e1695c1a0acd,6bfd56f1-e24e-4bf8-8d4f-e1695c1a0acd,woman_surprised.png,Human,human,1,surprised,4,female,2,caucasian,1,front-right,3,surprised,4,correct,2028,surprised|disgusted|happy|angry,2026-01-08T20:33:24.976249
-anon-6bfd56f1-e24e-4bf8-8d4f-e1695c1a0acd,6bfd56f1-e24e-4bf8-8d4f-e1695c1a0acd,kid_surprised.png,AI,ai,2,surprised,4,female,2,caucasian,1,forward,1,happy,1,incorrect,1157,happy|angry|surprised|disgusted,2026-01-08T20:33:26.665156
-anon-6bfd56f1-e24e-4bf8-8d4f-e1695c1a0acd,6bfd56f1-e24e-4bf8-8d4f-e1695c1a0acd,man_angry.png,Human,human,1,angry,3,male,1,black,2,forward,1,happy,1,incorrect,5349,disgusted|angry|happy|surprised,2026-01-08T20:33:33.734201
-anon-1478b947-bba0-4486-90a4-ce00c5cf2996,1478b947-bba0-4486-90a4-ce00c5cf2996,kid_surprised.png,AI,ai,2,surprised,4,female,2,caucasian,1,forward,1,surprised,4,correct,3300,surprised|angry|happy|disgusted,2026-01-08T20:43:16.234329
-anon-1478b947-bba0-4486-90a4-ce00c5cf2996,1478b947-bba0-4486-90a4-ce00c5cf2996,oldman_angry.png,AI,ai,2,angry,3,male,1,caucasian,1,forward,1,disgusted,5,incorrect,12651,disgusted|surprised|happy|angry,2026-01-08T20:43:31.598273
-anon-1478b947-bba0-4486-90a4-ce00c5cf2996,1478b947-bba0-4486-90a4-ce00c5cf2996,woman_surprised.png,Human,human,1,surprised,4,female,2,caucasian,1,front-right,3,happy,1,incorrect,931,angry|happy|disgusted|surprised,2026-01-08T20:43:33.111170
-anon-1478b947-bba0-4486-90a4-ce00c5cf2996,1478b947-bba0-4486-90a4-ce00c5cf2996,man_angry.png,Human,human,1,angry,3,male,1,black,2,forward,1,angry,3,correct,788,surprised|happy|angry|disgusted,2026-01-08T20:43:34.468996
-anon-1478b947-bba0-4486-90a4-ce00c5cf2996,1478b947-bba0-4486-90a4-ce00c5cf2996,woman2_happy.png,AI,ai,2,happy,1,female,2,black,2,forward,1,disgusted,5,incorrect,1301,angry|surprised|disgusted|happy,2026-01-08T20:43:36.342882
-anon-1478b947-bba0-4486-90a4-ce00c5cf2996,1478b947-bba0-4486-90a4-ce00c5cf2996,woman_disgusted.png,Human,human,1,disgusted,5,female,2,caucasian,1,front-left,2,angry,3,incorrect,1047,disgusted|happy|surprised|angry,2026-01-08T20:43:37.940345
-anon-1c102c98-80df-4149-b598-8cb3d4feebeb,1c102c98-80df-4149-b598-8cb3d4feebeb,kid_surprised.png,AI,ai,2,surprised,4,female,2,caucasian,1,forward,1,surprised,4,correct,2216,disgusted|surprised|happy|angry,2026-01-08T20:48:47.766427
-anon-1c102c98-80df-4149-b598-8cb3d4feebeb,1c102c98-80df-4149-b598-8cb3d4feebeb,oldman_angry.png,AI,ai,2,angry,3,male,1,caucasian,1,forward,1,surprised,4,incorrect,1078,happy|disgusted|surprised|angry,2026-01-08T20:48:49.587460
-anon-1c102c98-80df-4149-b598-8cb3d4feebeb,1c102c98-80df-4149-b598-8cb3d4feebeb,woman_disgusted.png,Human,human,1,disgusted,5,female,2,caucasian,1,front-left,2,happy,1,incorrect,1144,angry|disgusted|surprised|happy,2026-01-08T20:48:51.954683
-anon-1c102c98-80df-4149-b598-8cb3d4feebeb,1c102c98-80df-4149-b598-8cb3d4feebeb,woman2_happy.png,AI,ai,2,happy,1,female,2,black,2,forward,1,surprised,4,incorrect,1460,happy|disgusted|surprised|angry,2026-01-08T20:48:54.523725
-anon-132bd0b1-0187-4191-901b-cfd4434b3cce,132bd0b1-0187-4191-901b-cfd4434b3cce,woman2_happy.png,AI,ai,2,happy,1,female,2,black,2,forward,1,angry,3,incorrect,5592,disgusted|surprised|angry|happy,2026-01-08T20:49:40.646632
-anon-132bd0b1-0187-4191-901b-cfd4434b3cce,132bd0b1-0187-4191-901b-cfd4434b3cce,woman_disgusted.png,Human,human,1,disgusted,5,female,2,caucasian,1,front-left,2,disgusted,5,correct,5517,angry|disgusted|surprised|happy,2026-01-08T20:49:47.471801
-anon-132bd0b1-0187-4191-901b-cfd4434b3cce,132bd0b1-0187-4191-901b-cfd4434b3cce,man_angry.png,Human,human,1,angry,3,male,1,black,2,forward,1,happy,1,incorrect,1580,surprised|angry|happy|disgusted,2026-01-08T20:49:50.541265
-anon-e07c3aa4-8b6b-41ae-8efa-77c1542e18b4,e07c3aa4-8b6b-41ae-8efa-77c1542e18b4,oldman_angry.png,AI,ai,2,angry,3,male,1,caucasian,1,forward,1,angry,3,correct,3377,disgusted|happy|angry|surprised,2026-01-08T20:51:44.169517
-anon-e07c3aa4-8b6b-41ae-8efa-77c1542e18b4,e07c3aa4-8b6b-41ae-8efa-77c1542e18b4,woman_surprised.png,Human,human,1,surprised,4,female,2,caucasian,1,front-right,3,angry,3,incorrect,1434,happy|angry|surprised|disgusted,2026-01-08T20:51:47.668494
-anon-e07c3aa4-8b6b-41ae-8efa-77c1542e18b4,e07c3aa4-8b6b-41ae-8efa-77c1542e18b4,woman_disgusted.png,Human,human,1,disgusted,5,female,2,caucasian,1,front-left,2,happy,1,incorrect,4397,disgusted|angry|surprised|happy,2026-01-08T20:51:55.385533
-anon-e07c3aa4-8b6b-41ae-8efa-77c1542e18b4,e07c3aa4-8b6b-41ae-8efa-77c1542e18b4,kid_surprised.png,AI,ai,2,surprised,4,female,2,caucasian,1,forward,1,happy,1,incorrect,4194,happy|disgusted|angry|surprised,2026-01-08T20:52:00.573445
-anon-5eba27cd-b6d1-4f1b-bc9a-0bef0ea6d251,5eba27cd-b6d1-4f1b-bc9a-0bef0ea6d251,woman_disgusted.png,Human,human,1,disgusted,5,female,2,caucasian,1,front-left,2,happy,1,incorrect,4122,disgusted|surprised|happy|angry,2026-01-08T20:54:59.957487
-anon-82cbc393-d79d-484d-8e20-4f4ea4fb3485,82cbc393-d79d-484d-8e20-4f4ea4fb3485,oldman_angry.png,AI,ai,2,angry,3,male,1,caucasian,1,forward,1,happy,1,incorrect,3139,surprised|happy|angry|disgusted,2026-01-08T20:57:27.921219
-anon-ebcf1d6a-7150-4960-a7dd-d8eb4bb55d2c,ebcf1d6a-7150-4960-a7dd-d8eb4bb55d2c,woman_disgusted.png,Human,human,1,disgusted,5,female,2,caucasian,1,front-left,2,surprised,4,incorrect,3344,surprised|disgusted|happy|angry,2026-01-08T20:58:55.093129
-anon-ebcf1d6a-7150-4960-a7dd-d8eb4bb55d2c,ebcf1d6a-7150-4960-a7dd-d8eb4bb55d2c,man_angry.png,Human,human,1,angry,3,male,1,black,2,forward,1,surprised,4,incorrect,3016,angry|happy|surprised|disgusted,2026-01-08T20:59:03.532575
-anon-ebcf1d6a-7150-4960-a7dd-d8eb4bb55d2c,ebcf1d6a-7150-4960-a7dd-d8eb4bb55d2c,kid_surprised.png,AI,ai,2,surprised,4,female,2,caucasian,1,forward,1,angry,3,incorrect,2947,disgusted|surprised|happy|angry,2026-01-08T20:59:08.803406
-anon-ebcf1d6a-7150-4960-a7dd-d8eb4bb55d2c,ebcf1d6a-7150-4960-a7dd-d8eb4bb55d2c,oldman_angry.png,AI,ai,2,angry,3,male,1,caucasian,1,forward,1,happy,1,incorrect,1667,disgusted|surprised|happy|angry,2026-01-08T20:59:11.572648
-anon-ebcf1d6a-7150-4960-a7dd-d8eb4bb55d2c,ebcf1d6a-7150-4960-a7dd-d8eb4bb55d2c,woman_surprised.png,Human,human,1,surprised,4,female,2,caucasian,1,front-right,3,surprised,4,correct,4128,surprised|angry|disgusted|happy,2026-01-08T20:59:26.792283
-anon-1efc4fa8-b4f2-488b-b5f7-8a2c35ba1ded,1efc4fa8-b4f2-488b-b5f7-8a2c35ba1ded,man_angry.png,Human,human,1,angry,3,male,1,black,2,forward,1,happy,1,incorrect,3174,angry|happy|surprised|disgusted,2026-01-08T21:01:10.029903
-anon-1efc4fa8-b4f2-488b-b5f7-8a2c35ba1ded,1efc4fa8-b4f2-488b-b5f7-8a2c35ba1ded,woman_disgusted.png,Human,human,1,disgusted,5,female,2,caucasian,1,front-left,2,disgusted,5,correct,2901,angry|surprised|disgusted|happy,2026-01-08T21:01:15.104556
-anon-25f74813-2c25-496c-a738-593891e58029,25f74813-2c25-496c-a738-593891e58029,woman_disgusted.png,Human,human,1,disgusted,5,female,2,caucasian,1,front-left,2,angry,3,incorrect,4405,surprised|happy|angry|disgusted,2026-01-08T21:02:53.461864
-anon-5324ca1d-61b0-4c88-a3d9-65430ad19912,5324ca1d-61b0-4c88-a3d9-65430ad19912,woman2_happy.png,AI,ai,2,happy,1,female,2,black,2,forward,1,surprised,4,incorrect,3477,disgusted|surprised|happy|angry,2026-01-08T21:08:05.371495
-anon-5324ca1d-61b0-4c88-a3d9-65430ad19912,5324ca1d-61b0-4c88-a3d9-65430ad19912,woman_disgusted.png,Human,human,1,disgusted,5,female,2,caucasian,1,front-left,2,angry,3,incorrect,4564,disgusted|happy|surprised|angry,2026-01-08T21:08:11.967255
-anon-5324ca1d-61b0-4c88-a3d9-65430ad19912,5324ca1d-61b0-4c88-a3d9-65430ad19912,oldman_angry.png,AI,ai,2,angry,3,male,1,caucasian,1,forward,1,angry,3,correct,3396,angry|disgusted|happy|surprised,2026-01-08T21:08:17.105324
-anon-5324ca1d-61b0-4c88-a3d9-65430ad19912,5324ca1d-61b0-4c88-a3d9-65430ad19912,kid_surprised.png,AI,ai,2,surprised,4,female,2,caucasian,1,forward,1,surprised,4,correct,2010,happy|surprised|angry|disgusted,2026-01-08T21:08:19.970215
-anon-5324ca1d-61b0-4c88-a3d9-65430ad19912,5324ca1d-61b0-4c88-a3d9-65430ad19912,man_angry.png,Human,human,1,angry,3,male,1,black,2,forward,1,disgusted,5,incorrect,2108,angry|surprised|disgusted|happy,2026-01-08T21:08:23.183190
-anon-5324ca1d-61b0-4c88-a3d9-65430ad19912,5324ca1d-61b0-4c88-a3d9-65430ad19912,woman_surprised.png,Human,human,1,surprised,4,female,2,caucasian,1,front-right,3,angry,3,incorrect,1526,disgusted|surprised|happy|angry,2026-01-08T21:08:26.154828
-anon-ef8a2376-5302-4a0d-81d0-99707d8435c5,ef8a2376-5302-4a0d-81d0-99707d8435c5,oldman_angry.png,AI,ai,2,angry,3,male,1,caucasian,1,forward,1,surprised,4,incorrect,6409,surprised|happy|angry|disgusted,2026-01-12T18:02:56.368785
-anon-ef8a2376-5302-4a0d-81d0-99707d8435c5,ef8a2376-5302-4a0d-81d0-99707d8435c5,woman_disgusted.png,Human,human,1,disgusted,5,female,2,caucasian,1,front-left,2,surprised,4,incorrect,4558,angry|happy|disgusted|surprised,2026-01-12T18:03:02.664964
-anon-ef8a2376-5302-4a0d-81d0-99707d8435c5,ef8a2376-5302-4a0d-81d0-99707d8435c5,man_angry.png,Human,human,1,angry,3,male,1,black,2,forward,1,disgusted,5,incorrect,1427,surprised|disgusted|angry|happy,2026-01-12T18:03:06.820770
-anon-ef8a2376-5302-4a0d-81d0-99707d8435c5,ef8a2376-5302-4a0d-81d0-99707d8435c5,kid_surprised.png,AI,ai,2,surprised,4,female,2,caucasian,1,forward,1,disgusted,5,incorrect,564,happy|angry|disgusted|surprised,2026-01-12T18:03:09.981722
-anon-ef8a2376-5302-4a0d-81d0-99707d8435c5,ef8a2376-5302-4a0d-81d0-99707d8435c5,woman2_happy.png,AI,ai,2,happy,1,female,2,black,2,forward,1,disgusted,5,incorrect,4451,disgusted|surprised|angry|happy,2026-01-12T18:03:16.923929
-anon-ef8a2376-5302-4a0d-81d0-99707d8435c5,ef8a2376-5302-4a0d-81d0-99707d8435c5,woman_surprised.png,Human,human,1,surprised,4,female,2,caucasian,1,front-right,3,surprised,4,correct,3346,happy|angry|disgusted|surprised,2026-01-12T18:03:28.836123
-anon-905a5865-5e29-4261-b17a-718713983f96,905a5865-5e29-4261-b17a-718713983f96,woman_disgusted.png,Human,human,1,disgusted,5,female,2,caucasian,1,front-left,2,happy,1,incorrect,1638,happy|angry|disgusted|surprised,2026-01-12T18:07:25.325540
-anon-905a5865-5e29-4261-b17a-718713983f96,905a5865-5e29-4261-b17a-718713983f96,woman2_happy.png,AI,ai,2,happy,1,female,2,black,2,forward,1,surprised,4,incorrect,415,surprised|angry|disgusted|happy,2026-01-12T18:07:26.188603
-anon-905a5865-5e29-4261-b17a-718713983f96,905a5865-5e29-4261-b17a-718713983f96,woman_surprised.png,Human,human,1,surprised,4,female,2,caucasian,1,front-right,3,surprised,4,correct,448,surprised|disgusted|angry|happy,2026-01-12T18:07:27.791489
-anon-905a5865-5e29-4261-b17a-718713983f96,905a5865-5e29-4261-b17a-718713983f96,kid_surprised.png,AI,ai,2,surprised,4,female,2,caucasian,1,forward,1,happy,1,incorrect,393,happy|disgusted|angry|surprised,2026-01-12T18:07:28.655568
-anon-905a5865-5e29-4261-b17a-718713983f96,905a5865-5e29-4261-b17a-718713983f96,man_angry.png,Human,human,1,angry,3,male,1,black,2,forward,1,disgusted,5,incorrect,662,disgusted|angry|surprised|happy,2026-01-12T18:07:30.303637
-anon-905a5865-5e29-4261-b17a-718713983f96,905a5865-5e29-4261-b17a-718713983f96,oldman_angry.png,AI,ai,2,angry,3,male,1,caucasian,1,forward,1,happy,1,incorrect,613,happy|angry|surprised|disgusted,2026-01-12T18:07:31.388541
-anon-f3ec3b52-a5ad-43a8-95ef-52549fd0e318,f3ec3b52-a5ad-43a8-95ef-52549fd0e318,woman_surprised.png,Human,human,1,surprised,4,female,2,caucasian,1,front-right,3,happy,1,incorrect,2039,happy|angry|disgusted|surprised,2026-01-12T18:10:25.560611
-anon-f3ec3b52-a5ad-43a8-95ef-52549fd0e318,f3ec3b52-a5ad-43a8-95ef-52549fd0e318,woman_disgusted.png,Human,human,1,disgusted,5,female,2,caucasian,1,front-left,2,happy,1,incorrect,711,disgusted|happy|surprised|angry,2026-01-12T18:10:27.353334
-anon-f3ec3b52-a5ad-43a8-95ef-52549fd0e318,f3ec3b52-a5ad-43a8-95ef-52549fd0e318,oldman_angry.png,AI,ai,2,angry,3,male,1,caucasian,1,forward,1,happy,1,incorrect,769,disgusted|surprised|angry|happy,2026-01-12T18:10:28.705236
-anon-f3ec3b52-a5ad-43a8-95ef-52549fd0e318,f3ec3b52-a5ad-43a8-95ef-52549fd0e318,woman2_happy.png,AI,ai,2,happy,1,female,2,black,2,forward,1,happy,1,correct,697,disgusted|angry|happy|surprised,2026-01-12T18:10:30.716086
-anon-f3ec3b52-a5ad-43a8-95ef-52549fd0e318,f3ec3b52-a5ad-43a8-95ef-52549fd0e318,kid_surprised.png,AI,ai,2,surprised,4,female,2,caucasian,1,forward,1,happy,1,incorrect,1142,surprised|angry|disgusted|happy,2026-01-12T18:10:32.321496
-anon-f3ec3b52-a5ad-43a8-95ef-52549fd0e318,f3ec3b52-a5ad-43a8-95ef-52549fd0e318,man_angry.png,Human,human,1,angry,3,male,1,black,2,forward,1,angry,3,correct,1163,disgusted|happy|angry|surprised,2026-01-12T18:10:34.821756
-anon-f68775d0-0e3c-4cb5-9270-1ab19dd8efd8,f68775d0-0e3c-4cb5-9270-1ab19dd8efd8,woman2_happy.png,AI,ai,2,happy,1,female,2,black,2,forward,1,surprised,4,incorrect,2587,surprised|happy|disgusted|angry,2026-01-12T18:15:23.419125
-anon-f68775d0-0e3c-4cb5-9270-1ab19dd8efd8,f68775d0-0e3c-4cb5-9270-1ab19dd8efd8,kid_surprised.png,AI,ai,2,surprised,4,female,2,caucasian,1,forward,1,angry,3,incorrect,614,disgusted|surprised|angry|happy,2026-01-12T18:15:25.055288
-anon-f68775d0-0e3c-4cb5-9270-1ab19dd8efd8,f68775d0-0e3c-4cb5-9270-1ab19dd8efd8,woman_surprised.png,Human,human,1,surprised,4,female,2,caucasian,1,front-right,3,surprised,4,correct,530,angry|surprised|happy|disgusted,2026-01-12T18:15:26.023464
-anon-f68775d0-0e3c-4cb5-9270-1ab19dd8efd8,f68775d0-0e3c-4cb5-9270-1ab19dd8efd8,oldman_angry.png,AI,ai,2,angry,3,male,1,caucasian,1,forward,1,surprised,4,incorrect,802,surprised|happy|disgusted|angry,2026-01-12T18:15:27.305190
-anon-f68775d0-0e3c-4cb5-9270-1ab19dd8efd8,f68775d0-0e3c-4cb5-9270-1ab19dd8efd8,woman_disgusted.png,Human,human,1,disgusted,5,female,2,caucasian,1,front-left,2,disgusted,5,correct,776,surprised|happy|angry|disgusted,2026-01-12T18:15:29.232630
-anon-f68775d0-0e3c-4cb5-9270-1ab19dd8efd8,f68775d0-0e3c-4cb5-9270-1ab19dd8efd8,man_angry.png,Human,human,1,angry,3,male,1,black,2,forward,1,surprised,4,incorrect,2721,angry|disgusted|surprised|happy,2026-01-12T18:15:32.579968
-anon-6267f136-51c9-4796-bef0-19e61ee1ea21,6267f136-51c9-4796-bef0-19e61ee1ea21,woman2_happy.png,AI,ai,2,happy,1,female,2,black,2,forward,1,disgusted,5,incorrect,1211,happy|angry|disgusted|surprised,2026-01-12T18:16:00.622301
-anon-6267f136-51c9-4796-bef0-19e61ee1ea21,6267f136-51c9-4796-bef0-19e61ee1ea21,man_angry.png,Human,human,1,angry,3,male,1,black,2,forward,1,angry,3,correct,546,surprised|angry|disgusted|happy,2026-01-12T18:16:01.854200
-anon-6267f136-51c9-4796-bef0-19e61ee1ea21,6267f136-51c9-4796-bef0-19e61ee1ea21,kid_surprised.png,AI,ai,2,surprised,4,female,2,caucasian,1,forward,1,angry,3,incorrect,814,angry|happy|surprised|disgusted,2026-01-12T18:16:03.091831
-anon-6267f136-51c9-4796-bef0-19e61ee1ea21,6267f136-51c9-4796-bef0-19e61ee1ea21,oldman_angry.png,AI,ai,2,angry,3,male,1,caucasian,1,forward,1,disgusted,5,incorrect,573,happy|angry|disgusted|surprised,2026-01-12T18:16:04.122240
-anon-6267f136-51c9-4796-bef0-19e61ee1ea21,6267f136-51c9-4796-bef0-19e61ee1ea21,woman_disgusted.png,Human,human,1,disgusted,5,female,2,caucasian,1,front-left,2,angry,3,incorrect,731,angry|surprised|disgusted|happy,2026-01-12T18:16:05.353845
-anon-6267f136-51c9-4796-bef0-19e61ee1ea21,6267f136-51c9-4796-bef0-19e61ee1ea21,woman_surprised.png,Human,human,1,surprised,4,female,2,caucasian,1,front-right,3,angry,3,incorrect,1161,happy|disgusted|angry|surprised,2026-01-12T18:16:07.347624
-anon-908210e7-a71c-4068-809b-dfb47adac3e4,908210e7-a71c-4068-809b-dfb47adac3e4,kid_surprised.png,AI,ai,2,surprised,4,female,2,caucasian,1,forward,1,disgusted,5,incorrect,2260,disgusted|happy|angry|surprised,2026-01-12T18:18:56.785905
-anon-c0785749-e72e-46c4-96fd-93e937c9a042,c0785749-e72e-46c4-96fd-93e937c9a042,woman2_happy.png,AI,ai,2,happy,1,female,2,black,2,forward,1,disgusted,5,incorrect,1613,happy|disgusted|surprised|angry,2026-01-12T18:19:06.491275
-anon-588d6e24-218e-48a5-bd5d-5abf2550f187,588d6e24-218e-48a5-bd5d-5abf2550f187,woman_surprised.png,Human,human,1,surprised,4,female,2,caucasian,1,front-right,3,surprised,4,correct,17158,surprised|disgusted|angry|happy,2026-01-12T18:20:18.220739
-anon-588d6e24-218e-48a5-bd5d-5abf2550f187,588d6e24-218e-48a5-bd5d-5abf2550f187,woman2_happy.png,AI,ai,2,happy,1,female,2,black,2,forward,1,happy,1,correct,5431,angry|disgusted|happy|surprised,2026-01-12T18:20:26.191698
-anon-baeb1830-c64a-48dc-a607-e696ea19c3bd,baeb1830-c64a-48dc-a607-e696ea19c3bd,oldman_angry.png,AI,ai,2,angry,3,male,1,caucasian,1,forward,1,surprised,4,incorrect,4566,happy|surprised|angry|disgusted,2026-01-12T18:23:30.223535
-anon-baeb1830-c64a-48dc-a607-e696ea19c3bd,baeb1830-c64a-48dc-a607-e696ea19c3bd,woman_surprised.png,Human,human,1,surprised,4,female,2,caucasian,1,front-right,3,disgusted,5,incorrect,2251,surprised|angry|disgusted|happy,2026-01-12T18:23:33.653426
-anon-baeb1830-c64a-48dc-a607-e696ea19c3bd,baeb1830-c64a-48dc-a607-e696ea19c3bd,woman2_happy.png,AI,ai,2,happy,1,female,2,black,2,forward,1,happy,1,correct,1007,angry|surprised|disgusted|happy,2026-01-12T18:23:35.761200
-anon-baeb1830-c64a-48dc-a607-e696ea19c3bd,baeb1830-c64a-48dc-a607-e696ea19c3bd,kid_surprised.png,AI,ai,2,surprised,4,female,2,caucasian,1,forward,1,disgusted,5,incorrect,1361,disgusted|angry|happy|surprised,2026-01-12T18:23:37.854051
-anon-baeb1830-c64a-48dc-a607-e696ea19c3bd,baeb1830-c64a-48dc-a607-e696ea19c3bd,woman_disgusted.png,Human,human,1,disgusted,5,female,2,caucasian,1,front-left,2,surprised,4,incorrect,1348,disgusted|surprised|angry|happy,2026-01-12T18:23:39.919865
-anon-baeb1830-c64a-48dc-a607-e696ea19c3bd,baeb1830-c64a-48dc-a607-e696ea19c3bd,man_angry.png,Human,human,1,angry,3,male,1,black,2,forward,1,disgusted,5,incorrect,890,happy|surprised|angry|disgusted,2026-01-12T18:23:41.687609

stimuli_metadata.csv

@@ -1,7 +1,7 @@
 image_name,emotion,sex,ethnicity,angle,face_type
 man_angry.png,angry,male,black,forward,human
-woman_disgusted.jpg,disgusted,female,caucasian,front-left,human
-woman_surprised.png,surprised,female,caucasian,front-right,human
-kid_surprised.jpg,surprised,female,caucasian,forward,ai
-woman2_happy.jpg,happy,female,black,forward,ai
-oldman_angry.jpg,angry,male,caucasian,forward,ai
+woman_fearful.png,afraid,female,caucasian,forward,human
+woman_happy.png,happy,female,caucasian,forward,human
+kid_surprised.png,surprised,female,caucasian,forward,ai
+woman2_happy.png,happy,female,black,forward,ai
+oldman_angry.png,angry,male,caucasian,forward,ai

view_responses.ipynb

@@ -0,0 +1,363 @@
+{
+  "cells": [
+    {
+      "cell_type": "markdown",
+      "id": "9c34ed5c",
+      "metadata": {},
+      "source": [
+        "# Load And Merge Part 1 + Part 2\n",
+        "\n",
+        "This notebook loads the latest part-specific CSVs and merges them into one DataFrame.\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": 1,
+      "id": "29c7b15d",
+      "metadata": {},
+      "outputs": [
+        {
+          "data": {
+            "text/plain": [
+              "(PosixPath('emotion_responses_part1.csv'),\n",
+              " PosixPath('emotion_responses_part2.csv'))"
+            ]
+          },
+          "execution_count": 1,
+          "metadata": {},
+          "output_type": "execute_result"
+        }
+      ],
+      "source": [
+        "from pathlib import Path\n",
+        "import pandas as pd\n",
+        "\n",
+        "data_dir = Path('.')\n",
+        "\n",
+        "part1_candidates = sorted(\n",
+        "    data_dir.glob('emotion_responses_part1*.csv'),\n",
+        "    key=lambda p: p.stat().st_mtime,\n",
+        ")\n",
+        "part2_candidates = sorted(\n",
+        "    data_dir.glob('emotion_responses_part2*.csv'),\n",
+        "    key=lambda p: p.stat().st_mtime,\n",
+        ")\n",
+        "\n",
+        "if not part1_candidates:\n",
+        "    raise FileNotFoundError('No emotion_responses_part1*.csv files found.')\n",
+        "if not part2_candidates:\n",
+        "    raise FileNotFoundError('No emotion_responses_part2*.csv files found.')\n",
+        "\n",
+        "part1_path = part1_candidates[-1]\n",
+        "part2_path = part2_candidates[-1]\n",
+        "\n",
+        "part1_path, part2_path\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": 2,
+      "id": "e4a8048b",
+      "metadata": {},
+      "outputs": [
+        {
+          "data": {
+            "text/html": [
+              "<div>\n",
+              "<style scoped>\n",
+              "    .dataframe tbody tr th:only-of-type {\n",
+              "        vertical-align: middle;\n",
+              "    }\n",
+              "\n",
+              "    .dataframe tbody tr th {\n",
+              "        vertical-align: top;\n",
+              "    }\n",
+              "\n",
+              "    .dataframe thead th {\n",
+              "        text-align: right;\n",
+              "    }\n",
+              "</style>\n",
+              "<table border=\"1\" class=\"dataframe\">\n",
+              "  <thead>\n",
+              "    <tr style=\"text-align: right;\">\n",
+              "      <th></th>\n",
+              "      <th>participant_id</th>\n",
+              "      <th>session_id</th>\n",
+              "      <th>stimulus_id</th>\n",
+              "      <th>stimulus_type</th>\n",
+              "      <th>target_emotion</th>\n",
+              "      <th>emotion_trial_index</th>\n",
+              "      <th>emotion_rt_ms</th>\n",
+              "      <th>selected_emotion</th>\n",
+              "      <th>accuracy</th>\n",
+              "      <th>matching_trial_index</th>\n",
+              "      <th>matching_rt_ms</th>\n",
+              "      <th>match_age_rating</th>\n",
+              "      <th>match_masc_rating</th>\n",
+              "      <th>match_attr_rating</th>\n",
+              "      <th>match_quality_rating</th>\n",
+              "      <th>match_artifact_rating</th>\n",
+              "      <th>emotion_timestamp</th>\n",
+              "      <th>matching_timestamp</th>\n",
+              "    </tr>\n",
+              "  </thead>\n",
+              "  <tbody>\n",
+              "    <tr>\n",
+              "      <th>0</th>\n",
+              "      <td>anon-f821e984-aa8a-46f0-b8d0-757c0ea9fdf9</td>\n",
+              "      <td>f821e984-aa8a-46f0-b8d0-757c0ea9fdf9</td>\n",
+              "      <td>kid_surprised</td>\n",
+              "      <td>ai_kdef_like</td>\n",
+              "      <td>surprised</td>\n",
+              "      <td>1</td>\n",
+              "      <td>6412</td>\n",
+              "      <td>happy</td>\n",
+              "      <td>incorrect</td>\n",
+              "      <td>4</td>\n",
+              "      <td>3029</td>\n",
+              "      <td>7</td>\n",
+              "      <td>6</td>\n",
+              "      <td>6</td>\n",
+              "      <td>5</td>\n",
+              "      <td>5</td>\n",
+              "      <td>2026-01-27T15:49:25.470659</td>\n",
+              "      <td>2026-01-27T15:49:53.751731</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>1</th>\n",
+              "      <td>anon-f821e984-aa8a-46f0-b8d0-757c0ea9fdf9</td>\n",
+              "      <td>f821e984-aa8a-46f0-b8d0-757c0ea9fdf9</td>\n",
+              "      <td>woman_happy</td>\n",
+              "      <td>real_kdef</td>\n",
+              "      <td>happy</td>\n",
+              "      <td>2</td>\n",
+              "      <td>1279</td>\n",
+              "      <td>afraid</td>\n",
+              "      <td>incorrect</td>\n",
+              "      <td>1</td>\n",
+              "      <td>6313</td>\n",
+              "      <td>1</td>\n",
+              "      <td>3</td>\n",
+              "      <td>3</td>\n",
+              "      <td>3</td>\n",
+              "      <td>3</td>\n",
+              "      <td>2026-01-27T15:49:27.734481</td>\n",
+              "      <td>2026-01-27T15:49:43.941520</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2</th>\n",
+              "      <td>anon-f821e984-aa8a-46f0-b8d0-757c0ea9fdf9</td>\n",
+              "      <td>f821e984-aa8a-46f0-b8d0-757c0ea9fdf9</td>\n",
+              "      <td>man_angry</td>\n",
+              "      <td>real_kdef</td>\n",
+              "      <td>angry</td>\n",
+              "      <td>3</td>\n",
+              "      <td>1146</td>\n",
+              "      <td>disgusted</td>\n",
+              "      <td>incorrect</td>\n",
+              "      <td>6</td>\n",
+              "      <td>4219</td>\n",
+              "      <td>3</td>\n",
+              "      <td>3</td>\n",
+              "      <td>2</td>\n",
+              "      <td>3</td>\n",
+              "      <td>2</td>\n",
+              "      <td>2026-01-27T15:49:29.848369</td>\n",
+              "      <td>2026-01-27T15:50:01.982456</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>3</th>\n",
+              "      <td>anon-f821e984-aa8a-46f0-b8d0-757c0ea9fdf9</td>\n",
+              "      <td>f821e984-aa8a-46f0-b8d0-757c0ea9fdf9</td>\n",
+              "      <td>woman2_happy</td>\n",
+              "      <td>ai_kdef_like</td>\n",
+              "      <td>happy</td>\n",
+              "      <td>4</td>\n",
+              "      <td>3915</td>\n",
+              "      <td>happy</td>\n",
+              "      <td>correct</td>\n",
+              "      <td>2</td>\n",
+              "      <td>3194</td>\n",
+              "      <td>3</td>\n",
+              "      <td>2</td>\n",
+              "      <td>2</td>\n",
+              "      <td>2</td>\n",
+              "      <td>4</td>\n",
+              "      <td>2026-01-27T15:49:34.789089</td>\n",
+              "      <td>2026-01-27T15:49:47.174309</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>4</th>\n",
+              "      <td>anon-f821e984-aa8a-46f0-b8d0-757c0ea9fdf9</td>\n",
+              "      <td>f821e984-aa8a-46f0-b8d0-757c0ea9fdf9</td>\n",
+              "      <td>woman_fearful</td>\n",
+              "      <td>real_kdef</td>\n",
+              "      <td>afraid</td>\n",
+              "      <td>5</td>\n",
+              "      <td>648</td>\n",
+              "      <td>angry</td>\n",
+              "      <td>incorrect</td>\n",
+              "      <td>3</td>\n",
+              "      <td>3474</td>\n",
+              "      <td>7</td>\n",
+              "      <td>7</td>\n",
+              "      <td>7</td>\n",
+              "      <td>7</td>\n",
+              "      <td>7</td>\n",
+              "      <td>2026-01-27T15:49:36.150139</td>\n",
+              "      <td>2026-01-27T15:49:50.681104</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>5</th>\n",
+              "      <td>anon-f821e984-aa8a-46f0-b8d0-757c0ea9fdf9</td>\n",
+              "      <td>f821e984-aa8a-46f0-b8d0-757c0ea9fdf9</td>\n",
+              "      <td>oldman_angry</td>\n",
+              "      <td>ai_kdef_like</td>\n",
+              "      <td>angry</td>\n",
+              "      <td>6</td>\n",
+              "      <td>460</td>\n",
+              "      <td>afraid</td>\n",
+              "      <td>incorrect</td>\n",
+              "      <td>5</td>\n",
+              "      <td>3944</td>\n",
+              "      <td>5</td>\n",
+              "      <td>4</td>\n",
+              "      <td>3</td>\n",
+              "      <td>2</td>\n",
+              "      <td>1</td>\n",
+              "      <td>2026-01-27T15:49:37.158011</td>\n",
+              "      <td>2026-01-27T15:49:57.736323</td>\n",
+              "    </tr>\n",
+              "  </tbody>\n",
+              "</table>\n",
+              "</div>"
+            ],
+            "text/plain": [
+              "                              participant_id  \\\n",
+              "0  anon-f821e984-aa8a-46f0-b8d0-757c0ea9fdf9   \n",
+              "1  anon-f821e984-aa8a-46f0-b8d0-757c0ea9fdf9   \n",
+              "2  anon-f821e984-aa8a-46f0-b8d0-757c0ea9fdf9   \n",
+              "3  anon-f821e984-aa8a-46f0-b8d0-757c0ea9fdf9   \n",
+              "4  anon-f821e984-aa8a-46f0-b8d0-757c0ea9fdf9   \n",
+              "5  anon-f821e984-aa8a-46f0-b8d0-757c0ea9fdf9   \n",
+              "\n",
+              "                             session_id    stimulus_id stimulus_type  \\\n",
+              "0  f821e984-aa8a-46f0-b8d0-757c0ea9fdf9  kid_surprised  ai_kdef_like   \n",
+              "1  f821e984-aa8a-46f0-b8d0-757c0ea9fdf9    woman_happy     real_kdef   \n",
+              "2  f821e984-aa8a-46f0-b8d0-757c0ea9fdf9      man_angry     real_kdef   \n",
+              "3  f821e984-aa8a-46f0-b8d0-757c0ea9fdf9   woman2_happy  ai_kdef_like   \n",
+              "4  f821e984-aa8a-46f0-b8d0-757c0ea9fdf9  woman_fearful     real_kdef   \n",
+              "5  f821e984-aa8a-46f0-b8d0-757c0ea9fdf9   oldman_angry  ai_kdef_like   \n",
+              "\n",
+              "  target_emotion  emotion_trial_index  emotion_rt_ms selected_emotion  \\\n",
+              "0      surprised                    1           6412            happy   \n",
+              "1          happy                    2           1279           afraid   \n",
+              "2          angry                    3           1146        disgusted   \n",
+              "3          happy                    4           3915            happy   \n",
+              "4         afraid                    5            648            angry   \n",
+              "5          angry                    6            460           afraid   \n",
+              "\n",
+              "    accuracy  matching_trial_index  matching_rt_ms  match_age_rating  \\\n",
+              "0  incorrect                     4            3029                 7   \n",
+              "1  incorrect                     1            6313                 1   \n",
+              "2  incorrect                     6            4219                 3   \n",
+              "3    correct                     2            3194                 3   \n",
+              "4  incorrect                     3            3474                 7   \n",
+              "5  incorrect                     5            3944                 5   \n",
+              "\n",
+              "   match_masc_rating  match_attr_rating  match_quality_rating  \\\n",
+              "0                  6                  6                     5   \n",
+              "1                  3                  3                     3   \n",
+              "2                  3                  2                     3   \n",
+              "3                  2                  2                     2   \n",
+              "4                  7                  7                     7   \n",
+              "5                  4                  3                     2   \n",
+              "\n",
+              "   match_artifact_rating           emotion_timestamp  \\\n",
+              "0                      5  2026-01-27T15:49:25.470659   \n",
+              "1                      3  2026-01-27T15:49:27.734481   \n",
+              "2                      2  2026-01-27T15:49:29.848369   \n",
+              "3                      4  2026-01-27T15:49:34.789089   \n",
+              "4                      7  2026-01-27T15:49:36.150139   \n",
+              "5                      1  2026-01-27T15:49:37.158011   \n",
+              "\n",
+              "           matching_timestamp  \n",
+              "0  2026-01-27T15:49:53.751731  \n",
+              "1  2026-01-27T15:49:43.941520  \n",
+              "2  2026-01-27T15:50:01.982456  \n",
+              "3  2026-01-27T15:49:47.174309  \n",
+              "4  2026-01-27T15:49:50.681104  \n",
+              "5  2026-01-27T15:49:57.736323  "
+            ]
+          },
+          "execution_count": 2,
+          "metadata": {},
+          "output_type": "execute_result"
+        }
+      ],
+      "source": [
+        "merge_keys = [\"participant_id\", \"session_id\", \"stimulus_id\"]\n",
+        "\n",
+        "df_part1 = pd.read_csv(part1_path)\n",
+        "df_part2 = pd.read_csv(part2_path)\n",
+        "\n",
+        "df_merged = df_part1.merge(\n",
+        "    df_part2,\n",
+        "    on=merge_keys,\n",
+        "    how=\"outer\",\n",
+        ")\n",
+        "\n",
+        "def coalesce(df, col):\n",
+        "    left = f\"{col}_x\"\n",
+        "    right = f\"{col}_y\"\n",
+        "    if left in df.columns and right in df.columns:\n",
+        "        df[col] = df[left].combine_first(df[right])\n",
+        "        df.drop(columns=[left, right], inplace=True)\n",
+        "\n",
+        "# These are intentionally repeated in both files; keep just one copy.\n",
+        "coalesce(df_merged, \"stimulus_type\")\n",
+        "coalesce(df_merged, \"target_emotion\")\n",
+        "\n",
+        "analysis_order = [\n",
+        "    \"participant_id\", \"session_id\", \"stimulus_id\", \"stimulus_type\", \"target_emotion\",\n",
+        "    \"emotion_trial_index\", \"emotion_rt_ms\", \"selected_emotion\", \"accuracy\",\n",
+        "    \"matching_trial_index\", \"matching_rt_ms\",\n",
+        "    \"match_age_rating\", \"match_masc_rating\", \"match_attr_rating\", \"match_quality_rating\", \"match_artifact_rating\",\n",
+        "    \"emotion_timestamp\", \"matching_timestamp\",\n",
+        "]\n",
+        "\n",
+        "df_merged = df_merged[[c for c in analysis_order if c in df_merged.columns]]\n",
+        "df_merged\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "id": "e6cb990e",
+      "metadata": {},
+      "outputs": [],
+      "source": []
+    }
+  ],
+  "metadata": {
+    "kernelspec": {
+      "display_name": "workhorse",
+      "language": "python",
+      "name": "python3"
+    },
+    "language_info": {
+      "codemirror_mode": {
+        "name": "ipython",
+        "version": 3
+      },
+      "file_extension": ".py",
+      "mimetype": "text/x-python",
+      "name": "python",
+      "nbconvert_exporter": "python",
+      "pygments_lexer": "ipython3",
+      "version": "3.9.0"
+    }
+  },
+  "nbformat": 4,
+  "nbformat_minor": 5
+}