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dc.contributor.authorKoldijk, Saskiaen_US
dc.contributor.authorBernard, Jürgenen_US
dc.contributor.authorRuppert, Tobiasen_US
dc.contributor.authorKohlhammer, Jörnen_US
dc.contributor.authorNeerincx, Marken_US
dc.contributor.authorKraaij, Wesselen_US
dc.contributor.editorE. Bertini and J. Kennedy and E. Puppoen_US
dc.date.accessioned2015-05-24T19:43:14Z
dc.date.available2015-05-24T19:43:14Z
dc.date.issued2015en_US
dc.identifier.urihttp://dx.doi.org/10.2312/eurovisshort.20151129en_US
dc.description.abstractStress in working environments is a recent concern. We see potential in collecting sensor data to detect patterns in work behavior with potential danger to well-being. In this paper, we describe how we applied visual analytics to a work behavior dataset, containing information on facial expressions, postures, computer interactions, physiology and subjective experience. The challenge is to interpret this multi-modal low level sensor data. In this work, we alternate between automatic analysis procedures and data visualization. Our aim is twofold: 1) to research the relations of various sensor features with (stress related) mental states, and 2) to develop suitable visualization methods for insight into a large amount of behavioral data. Our most important insight is that people differ a lot in their (stress related) work behavior, which has to be taken into account in the analyses and visualizations.en_US
dc.publisherThe Eurographics Associationen_US
dc.subjectI.5.4 [Pattern recognition]en_US
dc.subjectApplicationsen_US
dc.subjectSignal processingen_US
dc.subjectH.5.0 [Information Interfaces and Presentation]en_US
dc.subjectGeneralen_US
dc.titleVisual Analytics of Work Behavior Data - Insights on Individual Differencesen_US
dc.description.seriesinformationEurographics Conference on Visualization (EuroVis) - Short Papersen_US
dc.description.sectionheadersDesign and Applicationsen_US
dc.identifier.doi10.2312/eurovisshort.20151129en_US
dc.identifier.pages79-83en_US


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