The Voice of Endo: Leveraging Speech for an Intelligent System That Can Forecast Illness Flare-ups

要旨

Managing complex chronic illness is challenging due to its unpredictability. This paper explores the potential of voice for automated flare-up forecasts. We conducted a six-week speculative design study with individuals with endometriosis, tasking participants to submit daily voice recordings and symptom logs. Through focus groups, we elicited their experiences with voice capture and perceptions of its usefulness in forecasting flare-ups. Participants were enthusiastic and intrigued at the potential of flare-up forecasts through the analysis of their voice. They highlighted imagined benefits from the experience of recording in supporting emotional aspects of illness and validating both day-to-day and overall illness experiences. Participants reported that their recordings revolved around their endometriosis, suggesting that the recordings’ content could further inform forecasting. We discuss potential opportunities and challenges in leveraging the voice as a data modality in human-centered AI tools that support individuals with complex chronic conditions.

著者
Adrienne Pichon
Columbia University, New York, New York, United States
Jessica R. Blumberg
University of Delaware, Newark, Delaware, United States
Lena Mamykina
Columbia University, New York, New York, United States
Noemie Elhadad
Columbia University, New York, New York, United States
DOI

10.1145/3706598.3714040

論文URL

https://dl.acm.org/doi/10.1145/3706598.3714040

動画

会議: CHI 2025

The ACM CHI Conference on Human Factors in Computing Systems (https://chi2025.acm.org/)

セッション: Health and Well-being

G303
7 件の発表
2025-04-30 01:20:00
2025-04-30 02:50:00
日本語まとめ
読み込み中…