%0 Conference Proceedings
%T Physiological Affect and Performance in a Collaborative Serious Game Between Humans and an Autonomous Robot
%+ Blekinge Institute of Technology
%+ Linnaeus University
%+ CSIRO Information and Commuciation Technologies (CSIRO ICT Centre)
%A Jerčić, Petar
%A Hagelbäck, Johan
%A Lindley, Craig
%Z Part 1: Full Papers
%< avec comité de lecture
%( Lecture Notes in Computer Science
%B 17th International Conference on Entertainment Computing (ICEC)
%C Poznan, Poland
%Y Esteban Clua
%Y Licinio Roque
%Y Artur Lugmayr
%Y Pauliina Tuomi
%I Springer International Publishing
%3 Entertainment Computing – ICEC 2018
%V LNCS-11112
%P 127-138
%8 2018-09-17
%D 2018
%R 10.1007/978-3-319-99426-0_11
%K Autonomous robots
%K Serious games
%K Collaborative play
%K Robot-assisted play
%K Emotions
%K Physiology
%K Affect
%Z Computer Science [cs]Conference papers
%X This paper sets out to examine how elicited physiological affect influences the performance of human participants collaborating with the robot partners on a shared serious game task; furthermore, to investigate physiological affect underlying such human-robot proximate collaboration. The participants collaboratively played a turn-taking version of a serious game Tower of Hanoi, where physiological affect was investigated in a valence-arousal space. The arousal was inferred from the galvanic skin response data, while the valence was inferred from the electrocardiography data. It was found that the robot collaborators elicited a higher physiological affect in regard to both arousal and valence, in contrast to their human collaborator counterparts. Furthermore, a comparable performance between all collaborators was found on the serious game task.
%G English
%Z TC 14
%Z WG 14.4
%2 https://inria.hal.science/hal-02128637/document
%2 https://inria.hal.science/hal-02128637/file/472623_1_En_11_Chapter.pdf
%L hal-02128637
%U https://inria.hal.science/hal-02128637
%~ IFIP-LNCS
%~ IFIP
%~ IFIP-WG
%~ IFIP-ICEC
%~ IFIP-TC14
%~ IFIP-LNCS-11112
%~ IFIP-WG14-4