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Conference articles · 2025

Voice-Activated Self-Monitoring Application (VoiS): Perspectives from People with Diabetes and Hypertension

Hyunkyoung Oh, Li Yang, Tala Abu Zahra, Masud Rabbani, Shiyu Tian, Adib Ahmed Anik, Paramita Basak Upama, Min Sook Park, Jake Luo, Evelyn Chan, Jeff Whittle, Sheikh Iqbal Ahamed

AMIA Annual Symposium Proceedings · Volume 2024 · Pages 875–884

Abstract

This paper describes the development and usability test processes of the voice-activated self-monitoring (VoiS) application. VoiS is an innovative, theory-driven mobile app on a smart speaker platform that supports routine and convenient self-monitoring of blood pressures, glucose levels, and health behaviors by people with coexisting diabetes and hypertension. It improves the quality of their communication with healthcare providers. The prototype of VoiS includes voice interaction with Amazon Alexa and data representation using smartphones (iOS and Android). Fourteen people with coexisting diabetes and hypertension participated in usability testing. After completing a range of tasks individually, testers participated in group interviews. We used a survey based on the Technology Acceptance Model to measure the ease of use and perceived usefulness of VoiS. All interviews were recorded and transcribed, and then common themes were extracted. Participants found VoiS to be easy to use and useful.

Publication details

Category
Conference articles
Authors & affiliations
  1. Hyunkyoung OhSchool of Nursing, University of Wisconsin-Milwaukee (UWM), Milwaukee, WI, USA
  2. Li YangSchool of Information Studies, University of Wisconsin-Milwaukee
  3. Tala Abu ZahraSchool of Nursing, University of Wisconsin-Milwaukee (UWM), Milwaukee, WI, USA
  4. Masud RabbaniUbicomp Lab, Department of Computer Science, Marquette University, Milwaukee, WI
  5. Shiyu TianUbicomp Lab, Department of Computer Science, Marquette University, Milwaukee, WI
  6. Adib Ahmed AnikUbicomp Lab, Department of Computer Science, Marquette University, Milwaukee, WI
  7. Paramita Basak UpamaUbicomp Lab, Department of Computer Science, Marquette University, Milwaukee, WI
  8. Min Sook ParkSchool of Information, Florida State University, Tallahassee, FL
  9. Jake LuoCollege of Engineering & Applied Science, University of Wisconsin-Milwaukee
  10. Evelyn ChanMedical College of Wisconsin, Wauwatosa, WI
  11. Jeff WhittleMedical College of Wisconsin, Wauwatosa, WI; Clement J Zablocki Veterans Affairs Medical Center, Milwaukee, WI
  12. Sheikh Iqbal AhamedUbicomp Lab, Department of Computer Science, Marquette University, Milwaukee, WI
Venue
AMIA Annual Symposium Proceedings
Publisher
American Medical Informatics Association
Record
Volume 2024 · Pages 875–884
Published
May 22, 2025
Cite this work

Hyunkyoung Oh, Li Yang, Tala Abu Zahra, Masud Rabbani, Shiyu Tian, Adib Ahmed Anik, Paramita Basak Upama, Min Sook Park, Jake Luo, Evelyn Chan, Jeff Whittle, Sheikh Iqbal Ahamed. “Voice-Activated Self-Monitoring Application (VoiS): Perspectives from People with Diabetes and Hypertension”. AMIA Annual Symposium Proceedings, 2024, 875–884. (2025).

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Plain-language summary

Research takeaway

The VoiS prototype connects Alexa voice entry with smartphone displays for monitoring blood pressure, glucose, and health behaviors. Fourteen people with diabetes and hypertension complete usability tasks and interviews and rate the app as useful and easy to use.

Research topics

  • voice assistant
  • diabetes self-management
  • hypertension
  • usability testing
  • Technology Acceptance Model
  • conversational health

Research context

Explore the connected research focus

Mobile-health AI Conversational AI & VoiS