| { |
| "title": "HESA-v1: Human Emotion + System Adaptation Dataset", |
| "id": "wincode/hesa-v1-human-emotion-system-adaptation", |
| "licenses": [ |
| { |
| "name": "MIT" |
| } |
| ], |
| "keywords": [ |
| "emotion recognition", |
| "human computer interaction", |
| "affective computing", |
| "synthetic data", |
| "adaptive AI", |
| "stress detection", |
| "cognitive load", |
| "mental health", |
| "productivity", |
| "AGI", |
| "intelligent tutoring", |
| "NLP", |
| "user behavior", |
| "deep learning", |
| "classification" |
| ], |
| "collaborators": [], |
| "data": [ |
| { |
| "description": "Full HESA-v1 dataset containing 500 synthetic samples of human emotion states, system telemetry, environmental context, and AI adaptive responses.", |
| "name": "HESA_dataset_v1.json", |
| "totalBytes": 1904937, |
| "columns": [ |
| { |
| "name": "sample_id", |
| "description": "Unique sample identifier in format HESA-XXXXX" |
| }, |
| { |
| "name": "timestamp", |
| "description": "ISO 8601 datetime of the simulated session" |
| }, |
| { |
| "name": "user_profile", |
| "description": "Nested object: age, profession, country, personality_type, experience_level, sleep_hours, stress_level, mental_focus, social_energy" |
| }, |
| { |
| "name": "environment", |
| "description": "Nested object: location_type, noise_level, lighting, temperature, time_of_day, weather" |
| }, |
| { |
| "name": "system_state", |
| "description": "Nested object: CPU/RAM/battery usage, open apps, typing speed (derived), error frequency (derived), multitasking level" |
| }, |
| { |
| "name": "human_behavior", |
| "description": "Nested object: emotion (28 categories), intensity, facial expression, voice tone, frustration signals, cognitive load, learning state" |
| }, |
| { |
| "name": "conversation_context", |
| "description": "Nested object: user message, conversation goal, topic, urgency level, communication style" |
| }, |
| { |
| "name": "ai_system_response", |
| "description": "Nested object: assistant response, UI adaptation, notification strategy, music recommendation, focus mode, wellness suggestion" |
| }, |
| { |
| "name": "long_term_memory", |
| "description": "Nested object: historical behavior pattern, previous emotional state, productivity trend, burnout risk, learning progression" |
| } |
| ] |
| } |
| ] |
| } |
|
|
