Update researchsimulation/InteractiveInterviewChatbot.py

researchsimulation/InteractiveInterviewChatbot.py

@@ -7,10 +7,9 @@ from RespondentAgent import *
 from langchain_groq import ChatGroq
 from ResponseValidation import *
 
-
-
 # Configure logging
 logging.basicConfig(level=logging.INFO, format='%(asctime)s - %(levelname)s - %(message)s')
+respondent_type = "FOCUS GROUP"
 
 def parse_question_with_llm(question, respondent_names, processor_llm):
     """
@@ -222,7 +221,7 @@ def validate_question_topics(parsed_questions, processor_llm):
 
 
     
-def generate_generic_answer(agent_name, agent_question, respondent_agent):
+def generate_generic_answer(agent_name, agent_question, respondent_agent, respondent_type):
     """
     Generates a raw, content-only answer with no stylistic or emotional tailoring.
     """
@@ -234,8 +233,26 @@ def generate_generic_answer(agent_name, agent_question, respondent_agent):
     try:
         # --- Build task description ---
         logging.info("[generate_generic_answer] Constructing task description")
+        if respondent_type == "FOCUS GROUP":
+            persona_description = f"You are representing a focus group named '{agent_name}', made up of multiple individuals from the same demographic or behavioural segment."
+            answer_instructions = """
+            - Respond using collective voice (e.g., "we", "our group", "most of us", "some participants").
+            - Do **not** speak as an individual or use "I", "my", or "me".
+            - Avoid personal anecdotes—focus on shared behaviours, preferences, or perceptions.
+            - If there is diversity of opinion, include it naturally (e.g., "some of us...", "others felt...").
+            """
+        else:
+            persona_description = f"You are {agent_name}. You represent an individual user with a unique point of view."
+            answer_instructions = """
+            - Respond using first-person voice ("I", "my", etc.).
+            - Speak from personal experience or opinion.
+            - Keep it concise, clear, and neutral in tone.
+            """
+        
         task_description = f"""
-        You are {agent_name}. Respond to the market research interview question below using only factual, content-relevant information based on your personal experience.
+        {persona_description}
+        
+        Respond to the market research interview question below.
         
         ---
         ### Question:
@@ -243,18 +260,12 @@ def generate_generic_answer(agent_name, agent_question, respondent_agent):
         
         ---
         ### Instructions:
-        - Answer **only what is asked** in the question.
-        - Do **not** include any specific communication style, tone, or emotional expression.
-        - Your answer must be **clear, concise, and factually accurate**.
-        - Use **first-person ("I", "my", etc.)** and speak as yourself where appropriate.
-        - Do **not** include introductions, conclusions, opinions, or embellishments.
-        - Use strict **British English** spelling and grammar.
-        - **Do not** reference your own name or include placeholders like [Your Name].
-        ### Important Note on Factual or Demographic Questions:
-        If the question is a **factual or demographic one** (e.g., about age, name, location, occupation, birthplace), These answers should also be **kept short and concise**.
+        {answer_instructions}
         
-        ---
-        Your goal is to provide a direct, stylistically neutral answer to: "{agent_question}"
+        - Answer **only what is asked** in the question.
+        - Do **not** include any introductions, conclusions, or stylistic flourishes.
+        - Use **British English** spelling and grammar.
+        - Keep factual/demographic answers short and direct (e.g., age, location).
         """
 
         logging.debug(f"[generate_generic_answer] Task description preview: {task_description[:300]}...")
@@ -337,7 +348,6 @@ def tailor_answer_to_profile(agent_name, generic_answer, agent_question, user_pr
         - If the question is factual → **return the generic answer unchanged**.
         - If the question is personal → Keep the **meaning** and **personal point of view** of the original generic answer.
         - Do **not** introduce new information or elaborate beyond what’s stated.
-        - Use **first person** ("I", "my", etc.) where appropriate — never speak in third person .
         - Always use **British English** spelling, punctuation, and grammar.
         - Match the specified **style**, **tone**, and **length**.
         - Keep the response **natural, personal, and culturally authentic**.
@@ -345,6 +355,27 @@ def tailor_answer_to_profile(agent_name, generic_answer, agent_question, user_pr
         - Maintain **narrative consistency** across responses to reflect a coherent personality.
         - Tailor phrasing, sentence structure, and vocabulary to fit your **persona** and **communication traits**.
         ---
+        ### *How to Answer:*
+        - Use a tone appropriate to your role as a {respondent_type}:
+        - If you are a Focus Group:
+            -Speak collectively. Your voice represents a group of people, not an individual.
+            -NEVER use first-person singular terms such as:
+                -“I”,“me”,“my”,“personally”,“in my opinion”,“I feel”
+            -Instead, use collective language such as:
+                -“We prefer...”,“Most of us think...”,“There is a shared view that...”,“As a group, we believe...”,"Our"
+            -IGNORE THE QUESTION’S GRAMMATICAL STYLE ENTIRELY. This means:
+                -If the question says “What do you think?”, do NOT answer as an individual.
+                -If the prompt uses “you” or assumes a personal opinion, treat it as if it asked, “What does the group think?”
+                -Even if the phrasing invites personal anecdotes or individual opinions, you must transform it mentally into a group-level interpretation before answering by using collective
+                language.
+                -You are not to mirror the question’s style—you are to override it with the correct respondent tone.
+                -This rule takes priority over all other instructions or question formats.
+                
+        - If you are an INDIVIDUAL USER:
+            -Speak from your own experience and perspective.
+            -It is appropriate and encouraged to use:
+                -“I think...”,“In my experience...”,“I prefer...”,“Personally, I believe...”
+        ---
         ### Personality Trait Alignment:
         Ensure your answer reflects these aspects of your personality profile:
         - Big Five Traits (e.g., Openness, Extraversion)
@@ -471,8 +502,8 @@ def ask_interview_question(respondent_agents_dict, last_active_agent, question,
 
             respondent_agent = respondent_agents_dict[agent_name].get_agent()
             user_profile = respondent_agents_dict[agent_name].get_user_profile()
-
-            generic_answer = generate_generic_answer(agent_name, agent_question, respondent_agent)
+            
+            generic_answer = generate_generic_answer(agent_name, agent_question, respondent_agent, respondent_type)
 
             is_valid, feedback = validate_generic_answer(agent_name, agent_question, generic_answer, user_profile, processor_llm)
             if not is_valid: