Self-Tracking and Sousveillance at Work: Insights from Human-Computer Interaction & Social Science

Cecchinato, Marta, Gould, Sandy J. J. and Pitts, Frederick Harry (2021) Self-Tracking and Sousveillance at Work: Insights from Human-Computer Interaction & Social Science. In: Augmented Exploitation: Artificial Intelligence, Automation and Work. Pluto Press, London, pp. 127-137. ISBN 9780745343501, 9780745343495, 9780745343532, 9780745343525, 9780745343518

Text cecchinato_gould_pitts_2020_self_tracking_and_sousveillance_at_work.pdf - Accepted Version Restricted to Repository staff only Download (130kB) | Request a copy

Abstract

In this chapter we consider whether and how new collective practices of shared aggregation and curation of individual data stand to enrich our understanding of the physical and emotional impacts of work and undergird coordinated responses to contemporary societal and industrial challenges around well-being and productivity in the workplace and beyond. Specifically, we are interested in whether there is something potentially emancipatory in these individualised and individualising routines and practices of self-quantification. Can workplace AI, algorithmic measurement and control and other tools for self-quantification be repurposed and wielded in support of collective resistance?

Actions (login required)

View Item

Downloads