IPHS 300: AI for Humanity
Document Type
Poster
Publication Date
Spring 2026
Abstract
AI's ability to assess human cognitive and psychological patterns through natural conversation is an underexplored area with significant potential, particularly for college students navigating a demanding and overwhelming transitional period. This project involved selecting eight psychometrically grounded metrics, designing an adaptive question bank and detailed system prompt to govern the assessment conversation, building a second AI model to review and correct results before they are shown, and deploying the full application as a publicly accessible web tool. The result is a conversational assessment that delivers a personalized psychological profile, including strengths, areas for growth, metric interactions, and actionable suggestions in under ten minutes through natural dialogue. Testing suggests the tool is capable of meaningful multi-step psychological reasoning through prompt engineering alone, and users generally found results accurate and specific to their responses, though limitations around validation, sample size, and self-report bias remain. The project demonstrates that AI has genuine potential as a scalable self-knowledge tool, and points toward broader applications in mental health, education, and beyond.
Recommended Citation
Leider, Adam, "Know Thyself: A Conversation That Reveals How You Think: Adaptive AI Assessment Across Eight Psychometrically Grounded Metrics" (2026). IPHS 300: AI for Humanity. Paper 67.
https://digital.kenyon.edu/dh_iphs_ai/67
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.