Evaluation of the Usability and User Experience of a Digital Platform for Mental Health Assessment

This study evaluated the usability and user experience of a mental health digital platform among college students. Usability tests were conducted using quantitative measures, user feedback, and direct observations. User experience is also aimed at gaining insights of what works and what does not work in the system. A total of 3,396 second year students participated in the assessment with university guidance counselors serving as facilitators. Results from the usability test indicated an above- average score among students suggesting high satisfaction in terms of ease-of-use, well-integrated functions, and performance. Strengths of the platform generated from the users’ feedback are effectiveness and efficiency, ease of use, innovation, organization and structure, and reliability and performance. Further enhancements in functionality, including loading time, usability, readability, language preference, and lengthy questionnaires, were identified as key concerns among respondents. These findings highlight the usability of the platform while also identifying areas for improvement to ensure continuous engagement and user-friendly experience for users.

Authors

Publication Details

Journal
International Journal of Advanced Computer Science and Applications
Published
2025-01-01
DOI
https://doi.org/10.14569/ijacsa.2025.0160310
Primary Topic
Digital Mental Health Interventions
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Evaluation of the Usability and User Experience of a Digital Platform for Mental Health Assessment

Jerina Jean Ecleo, Mia Amor C. Tinam-isan, Imelu G. Mordeno, Cenie M. Vilela-Malabanan et al.
International Journal of Advanced Computer Science and Applications
Digital Mental Health Interventions
article

Evaluation of the Usability and User Experience of a Digital Platform for Mental Health Assessment

Jerina Jean Ecleo, Mia Amor C. Tinam-isan, Imelu G. Mordeno, Cenie M. Vilela-Malabanan, Kristine Mae E. Galera, Ric Adrian C. Balaton
article en

Abstract

This study evaluated the usability and user experience of a mental health digital platform among college students. Usability tests were conducted using quantitative measures, user feedback, and direct observations. User experience is also aimed at gaining insights of what works and what does not work in the system. A total of 3,396 second year students participated in the assessment with university guidance counselors serving as facilitators. Results from the usability test indicated an above- average score among students suggesting high satisfaction in terms of ease-of-use, well-integrated functions, and performance. Strengths of the platform generated from the users’ feedback are effectiveness and efficiency, ease of use, innovation, organization and structure, and reliability and performance. Further enhancements in functionality, including loading time, usability, readability, language preference, and lengthy questionnaires, were identified as key concerns among respondents. These findings highlight the usability of the platform while also identifying areas for improvement to ensure continuous engagement and user-friendly experience for users.

International Journal of Advanced Computer Science and ApplicationsVol. 16(3)
Openalex Percentile: Top 93%
Digital Mental Health Interventions
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.

Evaluation of the Usability and User Experience of a Digital Platform for Mental Health Assessment — Jerina Jean Ecleo, Mia Amor C. Tinam-isan, et al. · International Journal of Advanced Computer Science and Applications (2025) | TGRS Research Map | TGRS