Enhancing the acceptance of smart sensing in psychotherapy patients: findings from a randomized controlled trial

Autor: Fabian Rottstädt, Eduard Becker, Gabriele Wilz, Ilona Croy, Harald Baumeister, Yannik Terhorst
Jazyk: angličtina
Rok vydání: 2024
Předmět:
Zdroj: Frontiers in Digital Health, Vol 6 (2024)
Druh dokumentu: article
ISSN: 2673-253X
DOI: 10.3389/fdgth.2024.1335776
Popis: ObjectiveSmart sensing has the potential to make psychotherapeutic treatments more effective. It involves the passive analysis and collection of data generated by digital devices. However, acceptance of smart sensing among psychotherapy patients remains unclear. Based on the unified theory of acceptance and use of technology (UTAUT), this study investigated (1) the acceptance toward smart sensing in a sample of psychotherapy patients (2) the effectiveness of an acceptance facilitating intervention (AFI) and (3) the determinants of acceptance.MethodsPatients (N = 116) were randomly assigned to a control group (CG) or intervention group (IG). The IG received a video AFI on smart sensing, and the CG a control video. An online questionnaire was used to assess acceptance of smart sensing, performance expectancy, effort expectancy, facilitating conditions and social influence. The intervention effects of the AFI on acceptance were investigated. The determinants of acceptance were analyzed with structural equation modeling (SEM).ResultsThe IG showed a moderate level of acceptance (M = 3.16, SD = 0.97), while the CG showed a low level (M = 2.76, SD = 1.0). The increase in acceptance showed a moderate effect in the intervention group (p
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