Data at the Workspace - Working with data: collecting, analyzing and using traces of work activities

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dc.contributor.authorChassot, Christophe
dc.contributor.authorDatchary, Caroline
dc.contributor.authorGrosjean, Sylvie
dc.contributor.authorLewkowicz, Myriam
dc.contributor.authorMedjiah, Samir
dc.contributor.authorMüller, Claudia
dc.date.accessioned2024-06-06T08:25:32Z
dc.date.available2024-06-06T08:25:32Z
dc.date.issued2024
dc.description.abstractThe digitization of work has expanded the possibility of collecting traces of activities, and AI techniques are now expanding the potential for analyzing this large amount of data. This phenomenon is mostly associated with forms of control and evaluation of worker’s activities, thus generating forms of resistance. It is therefore important to think about ways of collecting and processing this data that could improve the quality of life at work, by tackling information, cognitive, or communication overload. Indeed, this data could be used to improve deliberation in organizations, by providing digital representations of the activity that is not easy to grasp in day-to-day professional work. The objective of this workshop is to gather researchers interested in discussing how data could be collected, analyzed, and discussed to improve the quality of life at work: which data? Which methods for its collection and its analysis? Under which conditions?en
dc.identifier.doi10.48340/ecscw2024_ws04
dc.identifier.eissn2510-2591
dc.identifier.urihttps://dl.eusset.eu/handle/20.500.12015/5136
dc.language.isoen
dc.publisherEuropean Society for Socially Embedded Technologies (EUSSET)
dc.relation.ispartofProceedings of 22nd European Conference on Computer-Supported Cooperative Work
dc.relation.ispartofseriesReports of the European Society for Socially Embedded Technologies: vol. 8, no. 2
dc.subjectQuality of life at work
dc.subjectInformation overload
dc.subjectCognitive strain
dc.subjectCommunication overload
dc.subjectDigitization
dc.subjectTraces of activities
dc.subjectData collection
dc.subjectData analysis
dc.subjectUser-centered computing
dc.subjectArtificial Intelligence
dc.subjectDeliberation in organizations
dc.subjectDigital representations
dc.subjectData analysis methods
dc.subjectConditions for data utilization
dc.titleData at the Workspace - Working with data: collecting, analyzing and using traces of work activitiesen
dc.typeText/Conference Paper
gi.conference.date17 June - 21 June, 2024
gi.conference.locationRimini, Italy
gi.conference.reviewfull
gi.conference.sessiontitleWorkshops proposals

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