Laumer S, Horneber D (2024)
Publication Type: Conference contribution
Publication year: 2024
Original Authors: Sven Laumer, David Horneber
Publisher: Gesellschaft für Informatik e.V.
Series: Workshopband MuC 2024
Conference Proceedings Title: Mensch und Computer 2024 - Workshopband
Event location: Karlsruhe, Deutschland
DOI: 10.18420/muc2024-mci-ws05-220
Overweight and obesity are common health problems. To address these problems, mobile health technologies based on artificial intelligence (AI) have emerged. These technologies aim to encourage healthy behaviors by helping individuals monitor their exercise and dietary behavior and providing personalized recommendations to support their weight loss. Despite their potential, research has shown that users often abandon these apps prematurely. To address this, our research-in-progress investigates user resistance during the trial phase of mobile health AI-based technology adoption. We propose several factors that explain trial-period rejection, occurring when individuals either fully embrace or reject the technology. This rejection can manifest at the service, digital, or device level. By understanding these sources of resistance, we can enhance the effectiveness of mobile AI-enabled health technologies
APA:
Laumer, S., & Horneber, D. (2024). Rejection of Mobile AI-enabled Health Technologies: First Results from an Interview-based Study. In Mensch und Computer 2024 - Workshopband. Karlsruhe, Deutschland: Gesellschaft für Informatik e.V..
MLA:
Laumer, Sven, and David Horneber. "Rejection of Mobile AI-enabled Health Technologies: First Results from an Interview-based Study." Proceedings of the Mensch und Computer 2024 - Workshopband, Karlsruhe, Deutschland Gesellschaft für Informatik e.V., 2024.
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