Non-invasive Player Experience Estimation from Body Motion and Game Context

Paolo Burelli, George Triantafyllidis, Ioannis Patras

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

5 Citations (Scopus)

Abstract

In this paper, we investigate on the relationship between player experience and body movements in a non-physical 3D computer game. During an experiment, the participants played a series of short game sessions and rated their experience while their body movements were tracked using a depth camera. The data collected was analysed and a neural network was trained to find the mapping between player body movements, player in- game behaviour and player experience. The results reveal that some aspects of player experience, such as anxiety or challenge, can be detected with high accuracy (up to 81%). Moreover, taking into account the playing context, the accuracy can be raised up to 86%. Following such a multi-modal approach, it is possible to estimate the player experience in a non-invasive fashion during the game and, based on this information, the game content could be adapted accordingly.
Original languageEnglish
Title of host publicationProceedings of the 2014 IEEE Conference on Computational Intelligence and Games
Number of pages7
PublisherIEEE Computer Society Press
Publication date2014
Pages1-7
ISBN (Print)978-1-4799-3547-5, 978-1-4799-3546-8
DOIs
Publication statusPublished - 2014
EventIEEE Conference on Computational Intelligence and Games - Dortmund, Germany
Duration: 26 Aug 201429 Aug 2014

Conference

ConferenceIEEE Conference on Computational Intelligence and Games
CountryGermany
CityDortmund
Period26/08/201429/08/2014

Fingerprint

Computer games
Cameras
Neural networks
Experiments

Cite this

Burelli, P., Triantafyllidis, G., & Patras, I. (2014). Non-invasive Player Experience Estimation from Body Motion and Game Context. In Proceedings of the 2014 IEEE Conference on Computational Intelligence and Games (pp. 1-7). IEEE Computer Society Press. https://doi.org/10.1109/CIG.2014.6932871
Burelli, Paolo ; Triantafyllidis, George ; Patras, Ioannis. / Non-invasive Player Experience Estimation from Body Motion and Game Context. Proceedings of the 2014 IEEE Conference on Computational Intelligence and Games. IEEE Computer Society Press, 2014. pp. 1-7
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Burelli, P, Triantafyllidis, G & Patras, I 2014, Non-invasive Player Experience Estimation from Body Motion and Game Context. in Proceedings of the 2014 IEEE Conference on Computational Intelligence and Games. IEEE Computer Society Press, pp. 1-7, IEEE Conference on Computational Intelligence and Games, Dortmund, Germany, 26/08/2014. https://doi.org/10.1109/CIG.2014.6932871

Non-invasive Player Experience Estimation from Body Motion and Game Context. / Burelli, Paolo; Triantafyllidis, George; Patras, Ioannis.

Proceedings of the 2014 IEEE Conference on Computational Intelligence and Games. IEEE Computer Society Press, 2014. p. 1-7.

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

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Burelli P, Triantafyllidis G, Patras I. Non-invasive Player Experience Estimation from Body Motion and Game Context. In Proceedings of the 2014 IEEE Conference on Computational Intelligence and Games. IEEE Computer Society Press. 2014. p. 1-7 https://doi.org/10.1109/CIG.2014.6932871