Designing and Testing a Physical Activity App with a Chatgpt-Based Chatbot
Identifiers
10.3233/SHTI250571
Date Issued
2025
Author(s)
Editor(s)
Andrikopoulou, Elisavet
Gallos, Parisis
Arvanitis, Theodoros N.
Type
Book Chapter
Language
English
Abstract
Background and objective: ChatGPT shows potential as a tool for creating content for health promotion. For example, personalised physical activity (PA) intervention messages can be generated efficiently using ChatGPT. We aimed to develop and test a chatbot to promote PA. Methods: We developed FysBot, a PA app with a chatbot powered by ChatGPT. Personas were created to prime user queries before prompting the chatbot. We conducted Think-aloud sessions to evaluate the usability of FysBot, including the chatbot. Results: The five adults who participated in the usability testing valued the PA recommendations and instructions from the chatbot but noted issues with its responses, proposed hiking trips, and step count accuracy, along with suggestions for improvements. Conclusion: Study participants indicated satisfaction with the chatbot's potential to motivate users to increase their physical activity. Addressing usability concerns related to user interaction and making the chatbot more personalised will enhance broader adoption in the future.
Publisher DOI
Journal or Serie
Studies in Health Technology and Informatics
ISSN
1879-8365
Publisher URL
Volume
327
Publisher
IOS Press
Submitter
Denecke, Kerstin
Citation apa
Larbi, D., Løvas, S. E., Årsand, E., Denecke, K., Gabarron, E., & Henriksen, A. (2025). Designing and Testing a Physical Activity App with a Chatgpt-Based Chatbot. In E. Andrikopoulou, P. Gallos, & T. N. Arvanitis (Eds.), Studies in Health Technology and Informatics (Vol. 327, pp. 1155–1159). IOS Press. https://doi.org/10.24451/dspace/11881
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