Stakeholder Criteria for Trust in Artificial Intelligence-Based Computer Perception Tools in Health Care: Qualitative Interview Study.

ABSTRACT:

Background

Computer perception (CP) technologies hold significant promise for advancing precision mental health care systems, given their ability to leverage algorithmic analysis of continuous, passive sensing data from wearables and smartphones (eg, behavioral activity, geolocation, vocal features, and ambient environmental data) to infer clinically meaningful behavioral and physiological states. However, successful implementation critically depends on cultivating well-founded stakeholder trust.

Objective

This study aims to investigate, across adolescents, caregivers, clinicians, and developers, the contingencies under which CP technologies are deemed trustworthy in health care.

Methods

We conducted 80 semistructured interviews with a purposive sample of adolescents

SUBMITTER: Rai A 

PROVIDER: S-EPMC12743233 | biostudies-literature | 2025 Dec

REPOSITORIES: biostudies-literature