Voice-Activated Self-Monitoring Application (VoiS): User Acceptance and Satisfaction in the Field

Authors

• Hyunkyoung Oh, University of Wisconsin - Milwaukee
• Li Yang, University of Wisconsin - Milwaukee
• Tala Abu Zahra, University of Wisconsin - Milwaukee
• Shiyu Tian, Marquette University
• Min Sook Park, Florida State University
• Jake Luo, University of Wisconsin - Milwaukee
• Sheikh Iqbal Ahamed, Marquette UniversityFollow
• Evelyn Chan, Medical College of Wisconsin
• Jeffrey Whittle, Zablocki Veterans Affairs Medical Center

Document Type

Conference Proceeding

Publication Date

2025

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Source Publication

IEEE 49th Annual Computers, Software, and Applications Conference (COMPSAC)

Source ISSN

2836-3795

Original Item ID

DOI: 10.1109/COMPSAC65507.2025.00257

Abstract

This paper illustrates the processes and results of user acceptance and satisfaction tests for the voice-activated self-monitoring (VoiS) application conducted in the field. VoiS was designed and developed for individuals with diabetes (DM) and hypertension (HTN) to support their routine and convenient self-management using a smart speaker platform. VoiS is also accessible on users’ mobile devices to visualize user-generated data. A total of nine adults with DM and HTN participated and were asked to use the VoiS system at home for a week to identify its acceptability in real-world conditions. Participants completed phone interviews to report operational errors and a structured survey to assess the acceptability of VoiS. The results showed that participants agreed or strongly agreed that VoiS was easy to use and useful, and they intended to continue using it. They were highly satisfied with VoiS. They also reported operational errors and challenges including device-related technical issues and the smart reminder feature of VoiS. Overall, participants perceived VoiS as an easy and useful tool for managing their conditions and felt motivated to monitor their biomarkers routinely.

Comments

Published as part of the proceedings of the IEEE 49th Annual Computers, Software, and Applications Conference (COMPSAC) 2025: 1873-1878. DOI.

Recommended Citation

Oh, Hyunkyoung; Yang, Li; Zahra, Tala Abu; Tian, Shiyu; Park, Min Sook; Luo, Jake; Ahamed, Sheikh Iqbal; Chan, Evelyn; and Whittle, Jeffrey, "Voice-Activated Self-Monitoring Application (VoiS): User Acceptance and Satisfaction in the Field" (2025). Computer Science Faculty Research and Publications. 127.
https://epublications.marquette.edu/comp_fac/127