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Using MediaPipe Machine Learning to Design Casual Exertion Games to Interrupt Prolonged Sedentary Lifestyle
Linköping University, Department of Computer and Information Science, Human-Centered systems. Linköping University, Faculty of Science & Engineering.
Linköping University, Department of Computer and Information Science, Software and Systems. Linköping University, Faculty of Science & Engineering.
Linköping University, Department of Computer and Information Science, Software and Systems. Linköping University, Faculty of Science & Engineering.ORCID iD: 0000-0001-7566-2218
2023 (English)In: HCI in Games: 5th International Conference, HCI-Games 2023, Held as Part of the 25th HCI International Conference, HCII 2023, Copenhagen, Denmark, July 23–28, 2023, Proceedings Part I, SPRINGER INTERNATIONAL PUBLISHING AG , 2023, p. 237-251Conference paper, Published paper (Refereed)
Abstract [en]

Casual exergames have shown potential in providing sufficient levels of exertion to decrease sedentary behavior. However, previous casual exergame implementations do not follow the guidelines of allowing for shorter (2-3 minute) active breaks during more regular increments. To evaluate if casual exergames could be applied following the guidelines of shorter more regular increments we designed and developed a casual exergame using MediaPipe. The resulting game, Balloon Pump, was evaluated at a game and cosplay festival with 60 participants playing the game. After game play, perceived exertion, control and immersion, and overall experience of the game, was measured and the performance and number of movements were noted. The results from the evaluation study showed that the game was perceived as controllable, had produced sufficient levels of exertion, and was perceived as fun. The immersive experience of the game was low and the participants commented on several ways in which this aspect could be improved, such as adding more incentives and variation in the game. 

Place, publisher, year, edition, pages
SPRINGER INTERNATIONAL PUBLISHING AG , 2023. p. 237-251
Series
Lecture Notes in Computer Science, ISSN 0302-9743, E-ISSN 1611-3349 ; 14046
Keywords [en]
Casual exergames, MediaPipe, Exertion, Perceived Immersion, Perceived Control
National Category
Human Computer Interaction Interaction Technologies
Identifiers
URN: urn:nbn:se:liu:diva-192988DOI: 10.1007/978-3-031-35930-9_16ISI: 001294578700016ISBN: 9783031359309 (electronic)ISBN: 9783031359293 (print)OAI: oai:DiVA.org:liu-192988DiVA, id: diva2:1749491
Conference
25th International Conference on Human-Computer Interaction, HCII 2023, July 23-28, Copenhagen, Denmark
Available from: 2023-04-07 Created: 2023-04-07 Last updated: 2024-10-07Bibliographically approved

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Berglund, ErikJedel, IzabellaBerglund, Aseel

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CiteExportLink to record
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Citation style
  • apa
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  • Other locale
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