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Critical Incident Technique and Gig-Economy Work (Deliveroo): Working with and Challenging Assumptions around Algorithms

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Published:28 April 2022Publication History

ABSTRACT

Decision-making algorithms can be obscure and fast-moving. This is especially the case in the context of the algorithm that mediates the work of Deliveroo riders. Forming a critical part of the food delivery platform, the algorithm’s obscurity and shifting nature is a part of its design. In this paper we argue that adapting usability techniques like the Critical Incident Technique (CIT) may provide one way to better understand algorithms and platform work. Though there are many methods to understand algorithms like this, asking people about negative or positive interactions with them and what they think provoked them can produce fruitful avenues for HCI research into the impacts of platforms on gig-economy work. We argue that despite the results being an assumption, assumptions from the algorithmically managed are interesting materials to challenge the researchers’ own assumptions about their context, and to, therefore, better scope out contexts and iterate future research.

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  • Published in

    cover image ACM Conferences
    CHI EA '22: Extended Abstracts of the 2022 CHI Conference on Human Factors in Computing Systems
    April 2022
    3066 pages
    ISBN:9781450391566
    DOI:10.1145/3491101

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    • Published: 28 April 2022

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