Bossen, ClausChassot, ChristopheDatchary, CarolineGrosjean, SylvieGuha, ShionLewkowicz, MyriamMedjiah, Samir2023-05-302023-05-302023https://dl.eusset.eu/handle/20.500.12015/4692Digitization 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?enText/Conference Paper10.48340/ecscw2023_ws032510-2591