Evidence map›Paper›PMID 41058926›Full record

ArticleProceedings : Annual International Computer Software and Applications Conference. COMPSAC2025

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

Hyunkyoung Oh, Li Yang, Tala Abu Zahra, Shiyu Tian, Min Sook Park, Jake Luo, Sheikh Iqbal Ahamed, Evelyn Chan, Jeff Whittle

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Proceedings : Annual International Computer Software and Applications Conference. COMPSAC, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Hyunkyoung OhSchool of Nursing, University of Wisconsin-Milwaukee, Milwaukee, Wisconsin, USA.
Li YangSchool of Information Studies, University of Wisconsin-Milwaukee, Milwaukee, Wisconsin, USA.
Tala Abu ZahraSchool of Nursing, University of Wisconsin-Milwaukee, Milwaukee, Wisconsin, USA.
Shiyu TianUbicomp Lab, Department of Computer Science, Marquette University, Milwaukee, Wisconsin, USA.
Min Sook ParkSchool of Information, Florida State University, Tallahassee, Florida, USA.
Jake LuoJoseph J. Zilber College of Public Health, University of Wisconsin-Milwaukee, Milwaukee, Wisconsin, USA.
Sheikh Iqbal AhamedUbicomp Lab, Department of Computer Science, Marquette University, Milwaukee, Wisconsin, USA.
Evelyn ChanMedical College of Wisconsin, Wauwatosa, Wisconsin, USA.
Jeff WhittleMedical College of Wisconsin, Wauwatosa, Wisconsin, USA.

Funding

Self-Monitoring Support Application for Adults with Diabetes and HypertensionR21NR019707 · NINR · UNIVERSITY OF WISCONSIN MILWAUKEE · PI OH, HYUNKYOUNG · 2021 to 2022
$441k
NINR NIH HHS R21 NR019707
6 · The paper itself

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.

Indexed as

DiabetesField TestHypertensionMobile Health (mHealth)Multiple Chronic ConditionsSelf-monitoringUsability TestVoice Assistants

Identifiers

PMID41058926
PMCPMC12498523

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.