Document Type
Poster
Publication Date
Spring 2025
Abstract
High-stakes performers, such as athletes, artists, and professionals, often lack tools that integrate objective performance metrics with subjective mental states. This disconnect can hinder effective training and optimization. PEAK addresses this gap by combining customizable performance analytics with real-time emotional insights via Hume's Empathic Voice Interface (EVI). Through natural voice interaction, PEAK correlates emotional expression with performance data, enabling personalized feedback and data-driven reflection. The platform empowers users to understand their emotion-performance dynamics and develop targeted strategies for sustainable peak performance.
Recommended Citation
Wadud, Ayman, "PEAK : An AI Voice Coach for Emotion-Aware Performance Tracking in High-Stakes Fields" (2025). IPHS 484: Senior Seminar. Paper 39.
https://digital.kenyon.edu/dh_iphs_ss/39
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.