research-article

Part-Time Ride-Sharing: Recognizing the Context in which Drivers Ride-Share and its Impact on Platform Use

Authors:

Benjamin V. HanrahanAuthors Info & Claims

Proceedings of the ACM on Human-Computer Interaction, Volume 3, Issue GROUP

Article No.: 247, Pages 1 - 17

https://doi.org/10.1145/3361128

Published: 05 December 2019 Publication History

Abstract

Ride-sharing companies have been reshaping the structure and practice of ride-hailing work. At the same time, studies have been showing mixed driver experiences on the platform while many of the drivers are working part-time. In this research, we seek to understand why drivers on this platform are working part-time, how this impacts their view of the platform, and what this means for more accurately evaluating the design of these platforms. To investigate this question, we focused on situating ride-sharing in the lives and constellation of gigs that drivers maintain. We collected 53 survey responses and conducted 10 semi-structured interviews with drivers to probe these questions. We found that the extent that drivers categorize themselves as part-time is less about the number of hours worked and more about how dependent they are on ride-sharing income. The level of this dependency seemed to heavily influence how they interacted with the platform and their attitudes towards difficulties faced. It seemed to us that in some ways that the design or functioning of the platform almost pushed users towards working part-time. We discuss the importance of taking these different types of workers and their situations into consideration when evaluating the design and usability of these platforms.

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Gupta MKarnatak NJain M(2024)Understanding the Technology-Mediated Home Phlebotomy Ecosystem in IndiaProceedings of the ACM on Human-Computer Interaction10.1145/36374218:CSCW1(1-26)Online publication date: 26-Apr-2024
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Index Terms

Part-Time Ride-Sharing: Recognizing the Context in which Drivers Ride-Share and its Impact on Platform Use
1. Human-centered computing
  1. Human computer interaction (HCI)
    1. HCI design and evaluation methods
      1. User studies
2. Social and professional topics
  1. Professional topics
    1. Computing and business
      1. Computer supported cooperative work
      2. Socio-technical systems

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cover image Proceedings of the ACM on Human-Computer Interaction

Proceedings of the ACM on Human-Computer Interaction Volume 3, Issue GROUP

GROUP

December 2019

425 pages

EISSN:2573-0142

DOI:10.1145/3375021

Editors:
Cliff Lampe
University of Michigan
,
Jeff Nichols
Google
,
Karrie Karahalios
University of Illinois Urbana-Champaign
,
Geraldine Fitzpatrick
Vienna University of Technology
,
Uichin Lee
KAIST
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Andres Monroy-Hernandez
Microsoft Research

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Publication History

Published: 05 December 2019

Published in PACMHCI Volume 3, Issue GROUP

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https://dl.acm.org/doi/10.1145/3637421
Noponen NFeshchenko PAuvinen TLuoma-aho VAbrahamsson P(2023)Taylorism on steroids or enabling autonomy? A systematic review of algorithmic managementManagement Review Quarterly10.1007/s11301-023-00345-574:3(1695-1721)Online publication date: 5-Apr-2023
https://doi.org/10.1007/s11301-023-00345-5
Dove GFernando AHertz KKim JRizzo JSeiple WNov O(2022)Digital Technologies in Orientation and Mobility Instruction for People Who are Blind or Have Low VisionProceedings of the ACM on Human-Computer Interaction10.1145/35556226:CSCW2(1-25)Online publication date: 11-Nov-2022
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Cheng LChouldechova A(2022)Heterogeneity in Algorithm-Assisted Decision-Making: A Case Study in Child Abuse Hotline ScreeningProceedings of the ACM on Human-Computer Interaction10.1145/35551016:CSCW2(1-33)Online publication date: 11-Nov-2022
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Gonzalez-Jimenez SBoulard CTuco CCalleau R(2022)Designing Food Delivery Gig-platforms for Courier Needs: the Case of Batched OrdersCompanion Publication of the 2022 Conference on Computer Supported Cooperative Work and Social Computing10.1145/3500868.3559452(163-167)Online publication date: 8-Nov-2022
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