Design Concept of a Mental Health Monitoring Application with Explainable Assessments

Authors

Upeka De Silva, Auckland University of Technology, New ZealandFollow
Samaneh Madanian, AUT university, New ZealandFollow
John Michael Templeton, University of South Florida, United StatesFollow
Christian Poellabauer, Florida International University, United StatesFollow
Sandy Schneider, Saint Mary’s CollegeFollow
Ajit Narayanan, Auckland University of TechnologyFollow

Abstract

Mental health (MH) has become a global issue with increased numbers, especially after COVID-19. Digital phenotyping in mental healthcare provides a highly effective, scaled, cost-effective approach to handling global MH problems. We propose a conceptual design of an MH monitoring application for both patients and clinicians. The application is designed to monitor the overall MH status of individuals based on mood, stress, behaviour, and personality. Further, it proposes objective MH assessment from smartphone data and screening of MH via periodic, short, self-reported, standardized questionnaires. This solution yields customized explainable MH assessments for individual users and clinicians to build user trust and system credibility.

Recommended Citation

De Silva, Upeka; Madanian, Samaneh; Templeton, John Michael; Poellabauer, Christian; Schneider, Sandy; and Narayanan, Ajit, "Design Concept of a Mental Health Monitoring Application with Explainable Assessments" (2023). ACIS 2023 Proceedings. 28.
https://aisel.aisnet.org/acis2023/28