Collectively Improve the Quality of Life at Work

Claus Bossen , Christophe Chassot (1) , Caroline Datchary (2) , Sylvie Grosjean , Shion Guha , Myriam Lewkowicz (3, 4) , Samir Medjiah (5, 6, 1)

1 LAAS-SARA - Équipe Services et Architectures pour Réseaux Avancés
2 LISST - Laboratoire Interdisciplinaire Solidarités, Sociétés, Territoires
3 LIST3N - Laboratoire Informatique et Société Numérique
4 Tech-CICO - TECHnologies pour la Coopération, l’Interaction et les COnnaissances dans les collectifs
5 UT - Université de Toulouse
6 UT3 - Université Toulouse III - Paul Sabatier

Digitization of work has expanded the possibility to collect traces of activities, and AI techniques now extend the potential for analyzing this large amount of data. This phenomenon is mostly associated with forms of control and evaluation of the activity of the employees, thus generating forms of resistance. It is therefore important to think about forms of collection and processing of this data that could improve 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, which 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?

Domaines: Informatique [cs]; Sociologie

Claus Bossen, Christophe Chassot, Caroline Datchary, Sylvie Grosjean, Shion Guha, et al.. Collectively Improve the Quality of Life at Work: How and Which Data to Collect and Analyze?. 21st European Conference on Computer-Supported Cooperative Work: The International Venue on Practice-centred Computing on the Design of Cooperation Technologies, Jun 2023, Trondheim ( Norvège), Norway. ⟨10.48340/ecscw2023_ws03⟩. ⟨hal-04455667⟩