Authors:
William Philipp
1
;
Ali Gölge
2
;
Andreas Hein
3
and
Sebastian Fudickar
1
Affiliations:
1
Institute of Medical Informatics, University of Luebeck, Luebeck, Germany
;
2
ATLAS Elektronik GmbH, Bremen, Germany
;
3
Carl von Ossietzky University Oldenburg, Oldenburg, Germany
Keyword(s):
Senior Healthcare, Assisted Healthcare, Human-Computer Interaction (HCI) in Healthcare, Elderly Technology Use.
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 acceptanc
e among the senior user group. The study suggests that the participants' technical proficiency may have influenced their overall usability ratings.
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