Non-intrusive Measurement of Player Engagement and Emotions: Real-Time Deep Neural Network Analysis of Facial Expressions during Game Play

Dines Rae Selvig, Henrik Schoenau-Fog

Publikation: Bidrag til bog/antologi/rapport/konference proceedingKonferenceartikel i proceedingForskningpeer review

Abstrakt

Prior research suggests and reveals that there is a correlation between human emotional responses and the subjective qualities of digital interactive experiences. Using facial analysis done by deep neural networks presents a true non-intrusive way of measuring emotional responses and engagement assessed as the desire to continue playing. This paper proposes a tool to measure emotional responses across eight different emotions and in real time of any game. The emotional recognition system achieves an accuracy of 98% and the continuation desire system achieves 93.3% accuracy in a pilot test with a two player game and 78.5% accuracy in a single player game. This forms a strong tool that shows a correlation between emotions and the continuation desire of a player, which can be used to evaluate engagement in games and digital interactive experiences, e.g. in critical stages of development of said content.
OriginalsprogEngelsk
TitelHCI in Games : Second International Conference, HCI-Games 2020, Held as Part of the 22nd HCI International Conference, HCII 2020, Copenhagen, Denmark, July 19–24, 2020, Proceedings
RedaktørerXiaowen Fang
Antal sider20
Vol/bind12211
UdgivelsesstedSwitzerland
ForlagSpringer
Publikationsdato19 jul. 2020
Sider330-349
ISBN (Trykt)978-3-030-50163-1
ISBN (Elektronisk)978-3-030-50164-8
DOI
StatusUdgivet - 19 jul. 2020
Begivenhed22nd International Conference on Human Computer Interaction - Copenhagen, Danmark
Varighed: 19 jul. 202024 jul. 2020

Konference

Konference22nd International Conference on Human Computer Interaction
LandDanmark
ByCopenhagen
Periode19/07/202024/07/2020
NavnLecture Notes in Computer Science
Vol/bind12211
ISSN0302-9743

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