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Not Just A Dot on The Map: Food Delivery Workers as Infrastructure
Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
University of Michigan, USA.
Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.ORCID-id: 0000-0002-9100-3826
Rekke forfattare: 42024 (engelsk)Inngår i: CHI '24: Proceedings of the CHI Conference on Human Factors in Computing Systems / [ed] Florian Floyd Mueller; Penny Kyburz; Julie R. Williamson; Corina Sas; Max L. Wilson; Phoebe Toups Dugas; Irina Shklovski, Association for Computing Machinery (ACM) , 2024, artikkel-id 385Konferansepaper, Publicerat paper (Fagfellevurdert)
Abstract [en]

Food delivery platforms are location-based services that rely on minimal, quantifiable data points, such as GPS location, to represent and manage labor. Drawing upon an ethnographic study of food delivery work in India during the COVID-19 pandemic, we illustrate the challenges gig workers face when working with a platform that uses their (phone’s) GPS location to monitor and control their movement. Further, we describe how these, along with the platform’s opaque, location-based logics, shape the delivery workflow. We also document how the platform selectively represented workers’ bodies during the pandemic to portray them as safe and sterile, describing workers’ tactics in responding to issues arising from asymmetric platform policies. In discussion, we consider what we can learn from understanding gig workers as ‘infrastructure’, commonly overlooked but visible upon breakdown. We conclude by reflecting on how we might center gig workers’ well-being and bodily needs in design.

sted, utgiver, år, opplag, sider
Association for Computing Machinery (ACM) , 2024. artikkel-id 385
Emneord [en]
gig work, infrastructure, location, location-based HCI, algorithmic management, food delivery, COVID-19, worker-centered design
HSV kategori
Forskningsprogram
data- och systemvetenskap
Identifikatorer
URN: urn:nbn:se:su:diva-232982DOI: 10.1145/3613904.3641918Scopus ID: 2-s2.0-85194891178ISBN: 9798400703300 (digital)OAI: oai:DiVA.org:su-232982DiVA, id: diva2:1893542
Konferanse
CHI '24: CHI Conference on Human Factors in Computing Systems, 11-16 May, 2024, Honolulu, USA.
Tilgjengelig fra: 2024-08-29 Laget: 2024-08-29 Sist oppdatert: 2025-01-11bibliografisk kontrollert
Inngår i avhandling
1. The Work Practice of Platform-Mediated Food Delivery: An Ethnographic Study of Bridging Algorithmic Workflows and Situated Action
Åpne denne publikasjonen i ny fane eller vindu >>The Work Practice of Platform-Mediated Food Delivery: An Ethnographic Study of Bridging Algorithmic Workflows and Situated Action
2025 (engelsk)Doktoravhandling, med artikler (Annet vitenskapelig)
Abstract [en]

The thesis examines the work practice of platform-mediated food delivery. Combining ethnographic studies in India and Sweden, it highlights the friction between the platform’s representation of work and the ground realities shaping workers’ situated actions, including their economic concerns. The thesis contributes to the fields of Human-Computer Interaction and Computer-Supported Cooperative Work, with an emphasis on worker-centered design and the critical role of human labor in gig work.

sted, utgiver, år, opplag, sider
Stockholm: Department of Computer and Systems Sciences, Stockholm University, 2025. s. 117
Serie
Report Series / Department of Computer & Systems Sciences, ISSN 1101-8526 ; 25-002
Emneord
gig work, algorithmic management, workflow, piecework, bodywork, food delivery, COVID-19, worker-centered design
HSV kategori
Forskningsprogram
informationssamhället
Identifikatorer
urn:nbn:se:su:diva-237767 (URN)978-91-8107-076-7 (ISBN)978-91-8107-077-4 (ISBN)
Disputas
2025-02-28, Lilla Hörsalen, NOD-huset, Borgarfjordsgatan 12, Kista, 14:00 (engelsk)
Opponent
Veileder
Tilgjengelig fra: 2025-02-05 Laget: 2025-01-11 Sist oppdatert: 2025-01-30bibliografisk kontrollert

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