Beyond Detection: Towards Actionable Sensing Research in Clinical Mental Healthcare

Researchers in ubiquitous computing have long promised that passive sensing will revolutionize mental health measurement by detecting individuals in a population experiencing a mental health disorder or specific symptoms. Recent work suggests that detection tools do not generalize well when trained...

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Vydáno v:Proceedings of ACM on interactive, mobile, wearable and ubiquitous technologies Ročník 8; číslo 4
Hlavní autoři: Adler, Daniel A, Yang, Yuewen, Viranda, Thalia, Xu, Xuhai, Mohr, David C, VAN Meter, Anna R, Tartaglia, Julia C, Jacobson, Nicholas C, Wang, Fei, Estrin, Deborah, Choudhury, Tanzeem
Médium: Journal Article
Jazyk:angličtina
Vydáno: United States 21.11.2024
Témata:
digital biomarkers
human-computer interaction
digital phenotyping
personal sensing
clinical decision support
behavioral health
mental health
mHealth
passive sensing
user-centered design
context-awareness
ISSN:2474-9567, 2474-9567
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Popis
Shrnutí:Researchers in ubiquitous computing have long promised that passive sensing will revolutionize mental health measurement by detecting individuals in a population experiencing a mental health disorder or specific symptoms. Recent work suggests that detection tools do not generalize well when trained and tested in more heterogeneous samples. In this work, we contribute a narrative review and findings from two studies with 41 mental health clinicians to understand these generalization challenges. Our findings motivate research on actionable sensing, as an alternative to detection research, studying how passive sensing can augment traditional mental health measures to support actions in clinical care. Specifically, we identify how passive sensing can support clinical actions by revealing patients' presenting problems for treatment and identifying targets for behavior change and symptom reduction, but passive data requires additional contextual information to be appropriately interpreted and used in care. We conclude by suggesting research at the intersection of actionable sensing and mental healthcare, to align technical research in ubiquitous computing with clinical actions and needs.
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ISSN:2474-9567
2474-9567
DOI:10.1145/3699755