Seeing Work: Constructing Visions of Work in and through Data
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Association for Computing Machinery
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My dissertation research explores the role technologies play in shaping how work practices are seen, imagined, and valued. I focus on how data remnants and traces, the technological residue left in the wake of human-computer interactions, become anchors that orient the construction of seeing work within an organization. To examine this, I draw on ethnographic fieldwork at a high tech firm and focus on efforts to reinvent an email client. I explore how seeing work in and through trace data paints increasingly narrow and modular portraits of work, reframing the contours and potential of vision and visibility in the workplace.
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data traces, invisible work, ethnography., email, work practices
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Number of citations to item: 3
- Christine T. Wolf, Julia Bullard, Stacy Wood, Amelia Acker, Drew Paine, Charlotte P. Lee (2019): Mapping the "How" of Collaborative Action, In: Companion Publication of the 2019 Conference on Computer Supported Cooperative Work and Social Computing, doi:10.1145/3311957.3359441
- Yong Ming Kow, Waikuen Cheng (2018): Complimenting Invisible Work, In: Proceedings of the ACM on Human-Computer Interaction CSCW(2), doi:10.1145/3274365
- Christine T. Wolf (2020): AI Models and Their Worlds: Investigating Data-Driven, AI/ML Ecosystems Through a Work Practices Lens, In: Lecture Notes in Computer Science, doi:10.1007/978-3-030-43687-2_55