Usability Evaluation of a Chatbot for Fitness and Health Recommendations Among Seniors in Assisted Healthcare

William Philipp, Ali Gölge, Andreas Hein, Sebastian Fudickar

2025

Abstract

This study explores the acceptance of seniors for a chatbot designed to support in maintaining activity levels and quality of life in an assisted healthcare setting. Building on findings from the TUMAL study, which developed a self-assessment tool for physical functioning, a proof-of-concept chatbot was created as an Android app. The chatbot enables users to view their health data, inquire about activity levels, and receive recommendations based on their results. A study involving 12 seniors (aged 75+) was conducted to evaluate the chatbot's usability and the participants' attitudes toward its recommendations. The System Usability Scale (SUS) revealed a suboptimal usability score of 66.3, with wide-ranging results indicating varying user experiences. While fitness-related recommendations were positively received, health-related advice prompted mostly negative feedback. Despite these challenges, the data querying functionality was considered useful, demonstrating a degree of acceptance among the senior user group. The study suggests that the participants' technical proficiency may have influenced their overall usability ratings.

Paper Citation

in Harvard Style

Philipp W., Gölge A., Hein A. and Fudickar S. (2025). Usability Evaluation of a Chatbot for Fitness and Health Recommendations Among Seniors in Assisted Healthcare. In Proceedings of the 18th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 2: HEALTHINF; ISBN 978-989-758-731-3, SciTePress, pages 483-490. DOI: 10.5220/0013139800003911

in Bibtex Style

@conference{healthinf25,
author={William Philipp and Ali Gölge and Andreas Hein and Sebastian Fudickar},
title={Usability Evaluation of a Chatbot for Fitness and Health Recommendations Among Seniors in Assisted Healthcare},
booktitle={Proceedings of the 18th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 2: HEALTHINF},
year={2025},
pages={483-490},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013139800003911},
isbn={978-989-758-731-3},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 18th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 2: HEALTHINF
TI - Usability Evaluation of a Chatbot for Fitness and Health Recommendations Among Seniors in Assisted Healthcare
SN - 978-989-758-731-3
AU - Philipp W.
AU - Gölge A.
AU - Hein A.
AU - Fudickar S.
PY - 2025
SP - 483
EP - 490
DO - 10.5220/0013139800003911
PB - SciTePress