Detecting momentary reward and affect with real-time passive digital sensor data

This study establishes the feasibility of using passive digital sensing to detect momentary subjective states, providing a baseline for scalable, non-invasive mental health monitoring.

Authors

Institutions

Publication Details

Journal
JAMIA Open
Published
2026-01-06
DOI
https://doi.org/10.1093/jamiaopen/ooag005
Primary Topic
Digital Mental Health Interventions
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Detecting momentary reward and affect with real-time passive digital sensor data

Michelle Genevieve Craske, Amelia Welborn, Tomislav D. Zbozinek, Samir Akre et al.
JAMIA Open
Digital Mental Health Interventions
article

Detecting momentary reward and affect with real-time passive digital sensor data

Michelle Genevieve Craske, Amelia Welborn, Tomislav D. Zbozinek, Samir Akre, Alex Bui, Zachary D Cohen
article en

Abstract

This study establishes the feasibility of using passive digital sensing to detect momentary subjective states, providing a baseline for scalable, non-invasive mental health monitoring.

JAMIA OpenVol. 9(1)
University of Arizona (US), University of California, Los Angeles (US), Los Angeles Medical Center (US), Neurobehavioral Systems (US)
Openalex Percentile: Top 63%
Digital Mental Health Interventions
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.