Abstract
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 min) 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.
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Berglund, E., Jedel, I., Berglund, A. (2023). Using MediaPipe Machine Learning to Design Casual Exertion Games to Interrupt Prolonged Sedentary Lifestyle. In: Fang, X. (eds) HCI in Games. HCII 2023. Lecture Notes in Computer Science, vol 14046. Springer, Cham. https://doi.org/10.1007/978-3-031-35930-9_16
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DOI: https://doi.org/10.1007/978-3-031-35930-9_16
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