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Group Adapted Avatar Recommendations for Exergames

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Datum

2023

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Cromjongh, Robin
Van Reenen, Quentin
Hauptmann, Hanna

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Adjunct Proceedings of the 31st ACM Conference on User Modeling, Adaptation and Personalization. New York, NY, USA: ACM, 2023, pp. 283-290. ISBN 978-1-4503-9891-6. Available under: doi: 10.1145/3563359.3597389

Zusammenfassung

Exergames are a promising way to encourage physical activity in the population. Especially competitive gaming has been shown to boost physical activity during gameplay. However, differences in physical abilities and fitness can lead to anxiety, fear of failure, or frustration. One way to mitigate these inhibitors is to balance the exergaming difficulty between competing players. This paper investigates the expectations and attitudes towards adaptivity in sports games, both in real life and with digital support. To that end, we present a survey with 421 participants investigating the general reaction to group adaptivity in sports games as well as a focus group discussing the reactions to group adaptive avatar recommendations within the game Mario Tennis Aces. Our results show that there is potential for group adaptive exergames to increase engagement, especially for non-sporty and female users, and that the first prototypical implementation was perceived positively regarding fairness and expected physical activity.

Zusammenfassung in einer weiteren Sprache

Fachgebiet (DDC)
150 Psychologie

Schlagwörter

exergame, group recommendation, personalization, physical activity, avatar, fairness

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UMAP '23: 31st ACM Conference on User Modeling, Adaptation and Personalization, 26. Juni 2023 - 29. Aug. 2023, Limassol, Cyprus
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ISO 690CROMJONGH, Robin, Quentin VAN REENEN, Laura M. KÖNIG, Martina KANNING, Ulf-Dietrich REIPS, Tiare FEUCHTNER, Hanna HAUPTMANN, 2023. Group Adapted Avatar Recommendations for Exergames. UMAP '23: 31st ACM Conference on User Modeling, Adaptation and Personalization. Limassol, Cyprus, 26. Juni 2023 - 29. Aug. 2023. In: Adjunct Proceedings of the 31st ACM Conference on User Modeling, Adaptation and Personalization. New York, NY, USA: ACM, 2023, pp. 283-290. ISBN 978-1-4503-9891-6. Available under: doi: 10.1145/3563359.3597389
BibTex
@inproceedings{Cromjongh2023-06-16Group-67289,
  year={2023},
  doi={10.1145/3563359.3597389},
  title={Group Adapted Avatar Recommendations for Exergames},
  isbn={978-1-4503-9891-6},
  publisher={ACM},
  address={New York, NY, USA},
  booktitle={Adjunct Proceedings of the 31st ACM Conference on User Modeling, Adaptation and Personalization},
  pages={283--290},
  author={Cromjongh, Robin and Van Reenen, Quentin and König, Laura M. and Kanning, Martina and Reips, Ulf-Dietrich and Feuchtner, Tiare and Hauptmann, Hanna}
}
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