Deploying and Examining Beacon for At-Home Patient Self-Monitoring with Critical Flicker Frequency

要旨

Chronic liver disease can lead to neurological conditions that result in coma or death. Although early detection can allow for intervention, testing is infrequent and unstandardized. Beacon is a device for at-home patient self-measurement of cognitive function via critical flicker frequency, which is the frequency at which a flickering light appears steady to an observer. This paper presents our efforts in iterating on Beacon’s hardware and software to enable at-home use, then reports on an at-home deployment with 21 patients taking measurements over 6 weeks. We found that measurements were stable despite being taken at different times and in different environments. Finally, through interviews with 15 patients and 5 hepatologists, we report on participant experiences with Beacon, preferences around how CFF data should be presented, and the role of caregivers in helping patients manage their condition. Informed by our experiences with Beacon, we further discuss design implications for home health devices.

受賞
Best Paper
著者
Richard Li
University of Washington, Seattle, Washington, United States
Philip Vutien
Division of Gastroenterology, Medicine, University of Washington, Seattle, Washington, United States
Sabrina Omer
Division of Gastroenterology, Medicine, University of Washington, Seattle, Washington, United States
Michael Yacoub
University of Washington, Seattle, Washington, United States
George Ioannou
University of Washington, Seattle, Washington, United States
Ravi Karkar
University of Massachusetts Amherst, Amherst, Massachusetts, United States
Sean A.. Munson
University of Washington, Seattle, Washington, United States
James Fogarty
University of Washington, Seattle, Washington, United States
DOI

10.1145/3706598.3714240

論文URL

https://dl.acm.org/doi/10.1145/3706598.3714240

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: Crowdsourcing and Tech in the Wild

Annex Hall F204
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2025-04-29 23:10:00
2025-04-30 00:40:00
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