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
The Effect of Emotions and Social Behavior on Performance in a Collaborative Serious Game Between Humans and Autonomous Robots
Blekinge Institute of Technology, Faculty of Computing, Department of Creative Technologies.ORCID iD: 0000-0003-3298-7164
Blekinge Institute of Technology, Faculty of Computing, Department of Technology and Aesthetics. Blekinge Institute of Technology, Faculty of Computing, Department of Creative Technologies.ORCID iD: 0000-0003-3887-5972
Linnéuniversitetet, SWE.ORCID iD: 0000-0002-8591-1035
Blekinge Institute of Technology, Faculty of Computing, Department of Creative Technologies.ORCID iD: 0000-0003-3639-9327
2018 (English)In: International Journal of Social Robotics, ISSN 1875-4791, E-ISSN 1875-4805, Vol. 10, no 1, p. 115-129Article in journal (Refereed) Published
Abstract [en]

The aim of this paper is to investigate performance in a collaborative human–robot interaction on a shared serious game task. Furthermore, the effect of elicited emotions and perceived social behavior categories on players’ performance will be investigated. The participants collaboratively played a turn-taking version of the Tower of Hanoi serious game, together with the human and robot collaborators. The elicited emotions were analyzed in regards to the arousal and valence variables, computed from the Geneva Emotion Wheel questionnaire. Moreover, the perceived social behavior categories were obtained from analyzing and grouping replies to the Interactive Experiences and Trust and Respect questionnaires. It was found that the results did not show a statistically significant difference in participants’ performance between the human or robot collaborators. Moreover, all of the collaborators elicited similar emotions, where the human collaborator was perceived as more credible and socially present than the robot one. It is suggested that using robot collaborators might be as efficient as using human ones, in the context of serious game collaborative tasks.

Place, publisher, year, edition, pages
Springer, 2018. Vol. 10, no 1, p. 115-129
Keywords [en]
Autonomous robots, Serious games, Collaborative play, Social interaction, Robot-assisted play, Emotions
National Category
Computer Systems
Identifiers
URN: urn:nbn:se:bth-15541DOI: 10.1007/s12369-017-0437-4ISI: 000423152900008OAI: oai:DiVA.org:bth-15541DiVA, id: diva2:1160981
Projects
PsyIntEC
Funder
EU, FP7, Seventh Framework Programme, FP7-ICT-231143
Note

open access

Available from: 2017-11-28 Created: 2017-11-28 Last updated: 2019-01-30Bibliographically approved
In thesis
1. The Effects of Emotions and Their Regulation on Decision-making Performance in Affective Serious Games
Open this publication in new window or tab >>The Effects of Emotions and Their Regulation on Decision-making Performance in Affective Serious Games
2019 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

Emotions are thought to be one of the key factors that critically influence human decision-making. Emotion-regulation can help to mitigate emotion-related decision biases and eventually lead to a better decision performance. Serious games emerged as a new angle introducing technological methods to practicing emotion-regulation, where meaningful biofeedback information communicates player's affective states to a series of informed gameplay choices. These findings motivate the notion that in the decision context of serious games, one would benefit from awareness and regulation of such emerging emotions.

This thesis explores the design and evaluation methods for creating serious games where emotion-regulation can be practiced using physiological biofeedback measures. Furthermore, it investigates emotions and the effect of emotion-regulation on decision performance in serious games. Using the psychophysiological methods in the design of such games, emotions and their underlying neural mechanism have been explored.

The results showed the benefits of practicing emotion-regulation in serious games, where decision-making performance was increased for the individuals who down-regulated high levels of arousal while having an experience of positive valence. Moreover, it increased also for the individuals who received the necessary biofeedback information. The results also suggested that emotion-regulation strategies (i.e., cognitive reappraisal) are highly dependent on the serious game context. Therefore, the reappraisal strategy was shown to benefit the decision-making tasks investigated in this thesis. The results further suggested that using psychophysiological methods in emotionally arousing serious games, the interplay between sympathetic and parasympathetic pathways could be mapped through the underlying emotions which activate those two pathways. Following this conjecture, the results identified the optimal arousal level for increased performance of an individual on a decision-making task, by carefully balancing the activation of those two pathways. The investigations also validated these findings in the collaborative serious game context, where the robot collaborators were found to elicit diverse affect in their human partners, influencing performance on a decision-making task. Furthermore, the evidence suggested that arousal is equally or more important than valence for the decision-making performance, but once optimal arousal has been reached, a further increase in performance may be achieved by regulating valence. Furthermore, the results showed that serious games designed in this thesis elicited high physiological arousal and positive valence. This makes them suitable as research platforms for the investigation of how these emotions influence the activation of sympathetic and parasympathetic pathways and influence performance on a decision-making task.

Taking these findings into consideration, the serious games designed in this thesis allowed for the training of cognitive reappraisal emotion-regulation strategy on the decision-making tasks. This thesis suggests that using evaluated design and development methods, it is possible to design and develop serious games that provide a helpful environment where individuals could practice emotion-regulation through raising awareness of emotions, and subsequently improve their decision-making performance.

Place, publisher, year, edition, pages
Karlskrona: Blekinge Tekniska Högskola, 2019. p. 297
Series
Blekinge Institute of Technology Doctoral Dissertation Series, ISSN 1653-2090 ; 6
Keywords
Serious Games, Game Design, Emotions, Biofeedback, Emotion-Regulation, Decision-Making
National Category
Computer Systems
Identifiers
urn:nbn:se:bth-17557 (URN)978-91-7295-370-3 (ISBN)
Public defence
2019-04-26, J1640, Campus Gräsvik, Karlskrona, 09:12 (English)
Opponent
Supervisors
Available from: 2019-01-31 Created: 2019-01-30 Last updated: 2019-04-25Bibliographically approved

Open Access in DiVA

fulltext(841 kB)258 downloads
File information
File name FULLTEXT01.pdfFile size 841 kBChecksum SHA-512
c0d6cbac945aae3b51777578f421ce75448f6f79fa74a18eafa251152893a47c053de0a407cf67f31a7b6ef0159ec283a64a3bcaaac676d6ebe87b809f4a7205
Type fulltextMimetype application/pdf

Other links

Publisher's full text

Authority records BETA

Jerčić, PetarWen, WeiSundstedt, Veronica

Search in DiVA

By author/editor
Jerčić, PetarWen, WeiHagelbäck, JohanSundstedt, Veronica
By organisation
Department of Creative TechnologiesDepartment of Technology and Aesthetics
In the same journal
International Journal of Social Robotics
Computer Systems

Search outside of DiVA

GoogleGoogle Scholar
Total: 258 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

doi
urn-nbn

Altmetric score

doi
urn-nbn
Total: 724 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