ExploreSelf: Fostering User-driven Exploration and Reflection on Personal Challenges with Adaptive Guidance by Large Language Models
Inhwa Song, SoHyun Park, Sachin R. Pendse, Jessica Lee Schleider, Munmun De Choudhury, Young-Ho Kim·September 15, 2024
Summary
ExploreSelf is an LLM-driven application that empowers users to control their reflective journey on personal challenges. It supports user-driven exploration through diverse perspectives on initial narratives and reflection on specific aspects through question threads. The system provides adaptive guidance with AI-generated keywords and comments for users to refer while writing answers. Aimed at improving mental and physical health, ExploreSelf enables users to take the initiative in their exploration by selecting themes and questions, offering tailored guidance for better organization of thoughts and emotions.
Introduction
Background
Overview of LLM-driven applications
Importance of personal exploration and reflection
Objective
Enhancing mental and physical health through self-exploration
Empowering users to take control of their reflective journey
Core Features
Personalized Exploration
Diverse perspectives on initial narratives
Adaptive guidance through AI-generated keywords and comments
Structured Reflection
Question threads for specific aspects
Tailored guidance for organizing thoughts and emotions
User Experience
Theme Selection
Choosing themes relevant to personal challenges
Question Threads
Structured questions for focused reflection
AI Support
AI-generated keywords for answer inspiration
Comments for feedback and guidance
Implementation
Data Collection
Gathering user inputs and feedback
Data Preprocessing
Cleaning and organizing data for AI processing
AI Integration
Utilizing LLMs for personalized guidance
User Interface Design
Creating an intuitive and engaging platform
Benefits
Improved Self-awareness
Enhanced understanding of personal challenges
Emotional Intelligence
Development of emotional regulation skills
Health Improvement
Potential for better mental and physical health outcomes
Future Directions
Continuous Learning
AI adaptation based on user progress
Community Integration
Facilitating connections among users for mutual support
Advanced Personalization
Further customization based on individual user data
Conclusion
Summary of ExploreSelf's impact
Call to action for potential users
Basic info
papers
computation and language
human-computer interaction
artificial intelligence
Advanced features