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

Adrienne Pichon, Jessica R Blumberg, Lena Mamykina, Noémie Elhadad
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Abstract

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.

Abstract Image

Abstract Image

远藤之声:利用语音为智能系统预测疾病突发。
由于其不可预测性,管理复杂的慢性疾病具有挑战性。本文探讨了语音在自动发作预测中的潜力。我们对子宫内膜异位症患者进行了为期六周的推测性设计研究,要求参与者提交每日录音和症状日志。通过焦点小组,我们获得了他们在声音捕捉方面的经验,以及对声音捕捉在预测突发事件方面有用性的认识。参与者对通过分析他们的声音来预测爆发的潜力充满了热情和兴趣。他们强调了从支持疾病的情感方面和验证日常和整体疾病经历的记录经验中想象的好处。参与者报告说,他们的录音围绕着他们的子宫内膜异位症,这表明录音的内容可以进一步为预测提供信息。我们讨论了在以人为中心的人工智能工具中利用语音作为数据模式的潜在机遇和挑战,这些工具支持患有复杂慢性病的个人。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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