lnu.sePublications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Physiological Affect and Performance in a Collaborative Serious Game Between Humans and an Autonomous Robot
Blekinge Tekniska Högskola.ORCID iD: 0000-0003-3298-7164
Linnaeus University, Faculty of Technology, Department of computer science and media technology (CM).ORCID iD: 0000-0002-8591-1035
CSIRO ICT Centre, Hobart, Australia.ORCID iD: 0000-0003-1378-5364
2018 (English)In: Entertainment Computing – ICEC 2018: 17th IFIP TC 14 International Conference, Held at the 24th IFIP World Computer Congress, WCC 2018, Poznan, Poland, September 17–20, 2018 / [ed] Clua E., Roque L., Lugmayr A., Tuomi P., Springer, 2018, p. 127-138Conference paper, Published paper (Refereed)
Abstract [en]

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.

Place, publisher, year, edition, pages
Springer, 2018. p. 127-138
Series
Lecture Notes in Computer Science, ISSN 0302-9743, E-ISSN 1611-3349 ; 11112
Keywords [en]
Autonomous robots, Serious games, Collaborative play, Robot-assisted play, Emotions, Physiology Affect
National Category
Computer Sciences
Research subject
Computer and Information Sciences Computer Science, Computer Science
Identifiers
URN: urn:nbn:se:lnu:diva-78542DOI: 10.1007/978-3-319-99426-0_11Scopus ID: 2-s2.0-85053772889ISBN: 978-3-319-99426-0 (electronic)ISBN: 978-3-319-99425-3 (print)OAI: oai:DiVA.org:lnu-78542DiVA, id: diva2:1259488
Conference
17th IFIP TC 14 International Conference, Held at the 24th IFIP World Computer Congress, WCC 2018, Poznan, Poland, September 17–20, 2018
Available from: 2018-10-30 Created: 2018-10-30 Last updated: 2019-08-29Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full textScopus

Authority records BETA

Hagelbäck, Johan

Search in DiVA

By author/editor
Jerčić, PetarHagelbäck, JohanLindley, Craig
By organisation
Department of computer science and media technology (CM)
Computer Sciences

Search outside of DiVA

GoogleGoogle Scholar

doi
isbn
urn-nbn

Altmetric score

doi
isbn
urn-nbn
Total: 50 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf