Research Article
Measuring Affective, Physiological and Behavioural Differences in Solo, Competitive and Collaborative Games
@INPROCEEDINGS{10.1007/978-3-319-49616-0_18, author={Daniel G\^{a}bana Arellano and Laurissa Tokarchuk and Hatice Gunes}, title={Measuring Affective, Physiological and Behavioural Differences in Solo, Competitive and Collaborative Games}, proceedings={Intelligent Technologies for Interactive Entertainment. 8th International Conference, INTETAIN 2016, Utrecht, The Netherlands, June 28--30, 2016, Revised Selected Papers}, proceedings_a={INTETAIN}, year={2017}, month={1}, keywords={Affective gaming Physiological signals Non-verbal behaviour}, doi={10.1007/978-3-319-49616-0_18} }- Daniel Gábana Arellano
Laurissa Tokarchuk
Hatice Gunes
Year: 2017
Measuring Affective, Physiological and Behavioural Differences in Solo, Competitive and Collaborative Games
INTETAIN
Springer
DOI: 10.1007/978-3-319-49616-0_18
Abstract
In this paper, we aim to measure affect and behaviour indicators of players to understand how they feel in different play modes and how games could be improved to enhance user experience, immersion and engagement. We analyse the affective states in sets of two users playing a Wii video game in three play modes: solo, competitive and collaborative. We measured their physiological signals and observed the non-verbal behaviours to infer their affective states. Although other studies have looked at these signals in gaming, this work focuses on the differences between the three play modes aforementioned. Our results show that: (1) Players experience similar levels of arousal during both solo and collaborative play modes; (2) players’ heart rates are significantly correlated during the competitive mode but not during the collaborative one; and (3) heart rate variability is a good indicator of engagement when playing video games.
