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Abstract
This paper examines how data-driven performance monitoring technologies affect the work of telecommunications field engineers. As a mobile workforce, this occupational group rely on an array of smartphone applications to plan, manage and report on their jobs, and to liaise remotely with managers and colleagues. These technologies intend to help field engineers be more productive and have greater control over their work; however they also gather data related to the quantity and effectiveness of their labor. We conducted a qualitative study examining engineers' experiences of these systems. Our findings suggest they simultaneously enhance worker autonomy, support co-ordination with and monitoring of colleagues, but promote anxieties around productivity and the interpretation of data by management. We discuss the implications of datadriven performance management technologies on worker agency, and examine the consequences of such systems in an era of quantified workplaces.
Original language | English |
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Title of host publication | CHI '18 - Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems |
Place of Publication | New York, U. S. A. |
Publisher | Association for Computing Machinery |
Number of pages | 14 |
Volume | 2018-April |
ISBN (Electronic) | 9781450356206, 9781450356213 |
ISBN (Print) | 9781450356206 |
DOIs | |
Publication status | Published - 26 Apr 2018 |
Event | ACM CHI 2018 Conference on Human Factors in Computing Systems: Late Breaking Work (Extended Abstracts), April 21-26, 2018, Montreal, QC, Canada - Montreal, Canada Duration: 21 Apr 2018 → 27 Apr 2018 https://chi2018.acm.org/ |
Conference
Conference | ACM CHI 2018 Conference on Human Factors in Computing Systems |
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Abbreviated title | CHI 2018 |
Country/Territory | Canada |
City | Montreal |
Period | 21/04/18 → 27/04/18 |
Internet address |
Keywords
- Occupational health
- Performance management
- Qualitative study
- Quantified workplace
- Remote monitoring
ASJC Scopus subject areas
- Human-Computer Interaction
- Computer Graphics and Computer-Aided Design
- Software
Fingerprint
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- 1 Finished
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LIDA: Loneliness in the Digital Age
Barnett, J. (PI)
Economic and Social Research Council
1/09/14 → 30/06/18
Project: Research council