Usability Assessment and Task Performance of Health Application for Older Adults:

Abstract Purpose This study aimed to evaluate the usability and task performance of health applications for older adults to identify ways to enhance user experience. Methods This study utilized an explanatory sequential mixed methods approach. The quantitative phase involved a survey of 100 older adults from senior welfare centers in D City utilizing the Mobile Application Rating Scale (MARS) to assess app usability. The qualitative phase involved in-depth individual interviews and task performance evaluations to explore functional challenges and usability barriers. Results The overall MARS score was 3.56 out of 5, with functionality receiving the highest rating (3.60), followed by aesthetics (3.57), information (3.78), engagement (3.71), and subjective quality (3.16). The mean task performance score was 2.09 out of 3, with significant obstacles identified in app installation, information retrieval, navigation complexity, and input processes. The interviews revealed usability challenges, such as insufficient font size, lack of screen magnification, and unintuitive interface designs. Participants emphasized incorporating practical functions and in-app user guidance to enhance usability. Conclusion Nurses can help ensure that health applications are tailored to older users’ needs. Improved app usability for this population requires design modifications, including adjustable font sizes, screen magnification options, and intuitive interfaces. Additionally, user education and in-app user guides can support effective app usage and task performance.

Authors

Institutions

Publication Details

Journal
Innovation in Aging
Published
2025-12-01
DOI
https://doi.org/10.1093/geroni/igaf122.2814
Primary Topic
Technology Use by Older Adults
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Usability Assessment and Task Performance of Health Application for Older Adults:

Yunseo Jang, Dahye Jeong, Jungyeon Bae, Dahyeon Lee et al.
Innovation in Aging
Technology Use by Older Adults
article

Usability Assessment and Task Performance of Health Application for Older Adults:

Yunseo Jang, Dahye Jeong, Jungyeon Bae, Dahyeon Lee, Eunseo Lee, Suhyun Kim
article en

Abstract

Abstract Purpose This study aimed to evaluate the usability and task performance of health applications for older adults to identify ways to enhance user experience. Methods This study utilized an explanatory sequential mixed methods approach. The quantitative phase involved a survey of 100 older adults from senior welfare centers in D City utilizing the Mobile Application Rating Scale (MARS) to assess app usability. The qualitative phase involved in-depth individual interviews and task performance evaluations to explore functional challenges and usability barriers. Results The overall MARS score was 3.56 out of 5, with functionality receiving the highest rating (3.60), followed by aesthetics (3.57), information (3.78), engagement (3.71), and subjective quality (3.16). The mean task performance score was 2.09 out of 3, with significant obstacles identified in app installation, information retrieval, navigation complexity, and input processes. The interviews revealed usability challenges, such as insufficient font size, lack of screen magnification, and unintuitive interface designs. Participants emphasized incorporating practical functions and in-app user guidance to enhance usability. Conclusion Nurses can help ensure that health applications are tailored to older users’ needs. Improved app usability for this population requires design modifications, including adjustable font sizes, screen magnification options, and intuitive interfaces. Additionally, user education and in-app user guides can support effective app usage and task performance.

Innovation in AgingVol. 9(Supplement_2)
Kyungpook National University (KR)
Sustainable cities and communities
Openalex Percentile: Top 17%
Technology Use by Older Adults
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.