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dc.contributor.authorAyesh, Aladdin, 1972-en
dc.contributor.authorStacey, Martinen
dc.contributor.authorLim, Yee Meien
dc.date.accessioned2015-11-10T16:45:03Z
dc.date.available2015-11-10T16:45:03Z
dc.date.issued2015
dc.identifier.citationLim, Y., Ayesh, A., and Stacey, M. (2015) Using Mouse and Keyboard Dynamics to Detect Cognitive Stress During Mental Arithmetic. In: K. Arai, S. Kapoor, and R. Bhatia (Eds.), Intelligent Systems in Science and Information 2014, vol. 591 of Studies in Computational Intelligence. Springer International Publishing, pp. 335–350en
dc.identifier.issn1860-949X
dc.identifier.urihttp://hdl.handle.net/2086/11346
dc.description.abstractTo build a personalized e-learning system that can deliver adaptive learning content based on student’s cognitive effort and efficiency, it is important to develop a construct that can help measuring perceived mental state, such as stress and cognitive load. The construct must be able to be quantified, computerized and automated. Our research investigates how mouse and keyboard dynamics analyses could be used to detect cognitive stress, which is induced by high mental arithmetic demand with time pressure, without using intrusive and expensive equipment. The research findings suggest that when task demand increased, task error, task duration, passive attempt, stress perception and mouse idle duration may increase, while mouse speed, left mouse click and keystroke speed decreased. The significant effects of task demand and time pressure on mouse and keystroke behaviours suggest that stress evaluation from these input devices is potentially useful for designing an adaptive e-learning system.en
dc.language.isoenen
dc.publisherSpringer International Publishingen
dc.relation.ispartofseriesStudies in Computational Intelligence;591
dc.subjectAdaptive e-learningen
dc.subjectStress detectionen
dc.subjectKeyboard dynamicsen
dc.subjectMouse dynamicsen
dc.subjectMental arithmeticen
dc.titleUsing Mouse and Keyboard Dynamics to Detect Cognitive Stress During Mental Arithmeticen
dc.typeBook chapteren
dc.identifier.doihttp://dx.doi.org/10.1007/978-3-319-14654-6_21
dc.researchgroupMobile Cognitive Systems Research Groupen
dc.peerreviewedYesen
dc.funderOverseas Employer PhD Studentshipen
dc.projectidtrueen


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