Cognitive Collaboration Found in Cardiac Physiology : Study in Classroom Environment

Show simple item record Ahonen, Lauri Cowley, Benjamin Torniainen, Jari Ukkonen, Antti Vihavainen, Arto Puolamäki, Kai 2016-08-26T11:37:01Z 2016-08-26T11:37:01Z 2016-07-14
dc.identifier.citation Ahonen , L , Cowley , B , Torniainen , J , Ukkonen , A , Vihavainen , A & Puolamäki , K 2016 , ' Cognitive Collaboration Found in Cardiac Physiology : Study in Classroom Environment ' , PLoS One , vol. 11 , no. 7 , 0159178 .
dc.identifier.other PURE: 67791119
dc.identifier.other PURE UUID: de52e374-a02e-4a42-94e3-fb490c559e8f
dc.identifier.other WOS: 000379579500095
dc.identifier.other Scopus: 84978417768
dc.identifier.other ORCID: /0000-0001-8828-2994/work/36889728
dc.identifier.other ORCID: /0000-0001-6502-209X/work/28855398
dc.identifier.other ORCID: /0000-0003-1819-1047/work/53186310
dc.identifier.other ORCID: /0000-0001-9957-4263/work/110393746
dc.description.abstract It is known that periods of intense social interaction result in shared patterns in collaborators' physiological signals. However, applied quantitative research on collaboration is hindered due to scarcity of objective metrics of teamwork effectiveness. Indeed, especially in the domain of productive, ecologically-valid activity such as programming, there is a lack of evidence for the most effective, affordable and reliable measures of collaboration quality. In this study we investigate synchrony in physiological signals between collaborating computer science students performing pair-programming exercises in a class room environment. We recorded electrocardiography over the course of a 60 minute programming session, using lightweight physiological sensors. We employ correlation of heart-rate variability features to study social psychophysiological compliance of the collaborating students. We found evident physiological compliance in collaborating dyads' heart-rate variability signals. Furthermore, dyads' self-reported workload was associated with the physiological compliance. Our results show viability of a novel approach to field measurement using lightweight devices in an uncontrolled environment, and suggest that self-reported collaboration quality can be assessed via physiological signals. en
dc.format.extent 16
dc.language.iso eng
dc.relation.ispartof PLoS One
dc.rights cc_by
dc.rights.uri info:eu-repo/semantics/openAccess
dc.subject MECHANISMS
dc.subject INDEXES
dc.subject WORK
dc.subject 3124 Neurology and psychiatry
dc.subject 5144 Social psychology
dc.subject 113 Computer and information sciences
dc.title Cognitive Collaboration Found in Cardiac Physiology : Study in Classroom Environment en
dc.type Article
dc.contributor.organization Behavioural Sciences
dc.contributor.organization Department of Computer Science
dc.contributor.organization RAGE - Agile Education Research group / Matti Luukkainen
dc.description.reviewstatus Peer reviewed
dc.relation.issn 1932-6203
dc.rights.accesslevel openAccess
dc.type.version publishedVersion

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