Self-Tracking & Sousveillance at Work : Insights from HumanComputer Interaction & Social Science

Marta E. Cecchinato; Sandy J. J. Gould; Frederick Harry Pitts

doi:10.2307/j.ctv1h0nv3d.16

Self-Tracking & Sousveillance at Work : Insights from HumanComputer Interaction & Social Science

Marta E. Cecchinato, Sandy J. J. Gould, Frederick Harry Pitts

Computer and Information Sciences Department

Research output: Chapter in Book/Report/Conference proceeding › Chapter

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?

Original language	English
Title of host publication	Augmented Exploitation
Subtitle of host publication	Artificial Intelligence, Automation and Work
Editors	Phoebe V. Moore, Jamie Woodcock
Place of Publication	London
Publisher	Pluto Press
Chapter	10
Pages	127-137
Number of pages	11
ISBN (Electronic)	9780745343518, 9780745343532, 9780745343525
ISBN (Print)	9780745343495, 9780745343501
DOIs	https://doi.org/10.2307/j.ctv1h0nv3d.16
Publication status	Published - 20 Mar 2021

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10.2307/j.ctv1h0nv3d.16

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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?",

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Self-Tracking & Sousveillance at Work : Insights from HumanComputer Interaction & Social Science. / Cecchinato, Marta E.; Gould, Sandy J. J.; Pitts, Frederick Harry.
Augmented Exploitation : Artificial Intelligence, Automation and Work. ed. / Phoebe V. Moore; Jamie Woodcock. London: Pluto Press, 2021. p. 127-137.

Research output: Chapter in Book/Report/Conference proceeding › Chapter

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AU - Gould, Sandy J. J.

AU - Pitts, Frederick Harry

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AB - 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?

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A2 - Moore, Phoebe V.

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PB - Pluto Press

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Self-Tracking & Sousveillance at Work : Insights from HumanComputer Interaction & Social Science

Abstract

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