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This paper is in the following e-collection/theme issue:

Electronic/Mobile Data Capture, Internet-based Survey & Research Methodology (1777) Mobile Health (mhealth) (5314) New Methods (1874) Ubiquitous Health (uHealth) (277) Methods in Human Factors Research (110) Internet of Things (165) Sensors at Home and Domotics (112)

Published on in Vol 26 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/50461, first published .
Radar chart showing participant engagement levels for regulators, operators, and stakeholders.

Lessons From 3 Longitudinal Sensor-Based Human Behavior Assessment Field Studies and an Approach to Support Stakeholder Management: Content Analysis

Lessons From 3 Longitudinal Sensor-Based Human Behavior Assessment Field Studies and an Approach to Support Stakeholder Management: Content Analysis

Authors of this article:

Johanna Kallio1 Author Orcid Image ;   Atte Kinnula1 Author Orcid Image ;   Satu-Marja Mäkelä1 Author Orcid Image ;   Sari Järvinen1 Author Orcid Image ;   Pauli Räsänen1 Author Orcid Image ;   Simo Hosio2 Author Orcid Image ;   Miguel Bordallo López1, 2 Author Orcid Image
Article Authors Cited by (2) Tweetations Metrics

Journals

  1. Kallio J, Vildjiounaite E, Tervonen J, Bordallo López M. A Survey on Sensor-Based Techniques for Continuous Stress Monitoring in Knowledge Work Environments. ACM Transactions on Computing for Healthcare 2025;6(3):1 View
  2. Choube A, Shrestha S, Le H, Li J, Das Swain V, Mishra V. DAIMON: Designing AI-Augmented Research Dashboards to Enable Novel Human-AI Collaborative Workflows in Longitudinal Sensing Studies. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 2026;10(3):1 View