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...

Full description

Saved in:
Bibliographic Details
Published in:Proceedings of ACM on interactive, mobile, wearable and ubiquitous technologies Vol. 8; no. 4
Main Authors: 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
Format: Journal Article
Language:English
Published: United States 21.11.2024
Subjects:
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
Online Access:Get more information
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary: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.
Bibliography:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 23
ISSN:2474-9567
2474-9567
DOI:10.1145/3699755