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Designing for Labour: Uber and the On-Demand Mobile Workforce
Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
2016 (English)In: Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems, Association for Computing Machinery (ACM), 2016, 1632-1643 p.Conference paper (Refereed)
Abstract [en]

Apps allowing passengers to hail and pay for taxi service on their phone? such as Uber and Lyft-have affected the livelihood of thousands of workers worldwide. In this paper we draw on interviews with traditional taxi drivers, rideshare drivers and passengers in London and San Francisco to understand how "ride-sharing" transforms the taxi business. With Uber, the app not only manages the allocation of work, but is directly involved in "labour issues": changing the labour conditions of the work itself. We document how Uber driving demands new skills such as emotional labour, while increasing worker flexibility. We discuss how the design of new technology is also about creating new labour opportunities -- jobs -- and how we might think about our responsibilities in designing these labour relations.

Place, publisher, year, edition, pages
Association for Computing Machinery (ACM), 2016. 1632-1643 p.
Keyword [en]
On demand labour, sharing economy, uber, ridesharing, on-demand labour, transport, labour issues
National Category
Information Systems
Research subject
Man-Machine-Interaction (MMI)
Identifiers
URN: urn:nbn:se:su:diva-136582DOI: 10.1145/2858036.2858476ISBN: 978-1-4503-3362-7 (electronic)OAI: oai:DiVA.org:su-136582DiVA: diva2:1055446
Conference
2016 CHI Conference on Human Factors in Computing Systems, Santa Clara, California, USA, May 07 - 12, 2016
Available from: 2016-12-12 Created: 2016-12-12 Last updated: 2017-01-27Bibliographically approved

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CiteExportLink to record
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Citation style
  • apa
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  • vancouver
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More styles
Language
  • de-DE
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  • nn-NO
  • nn-NB
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  • Other locale
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Output format
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