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

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Critical Incident Technique and Gig-Economy Work (Deliveroo): Working with and Challenging Assumptions around Algorithms. / Lord, Carolynne; Bates, Oliver; Friday, Adrian.
CHI 2022 - Extended Abstracts of the 2022 CHI Conference on Human Factors in Computing Systems. New York: ACM, 2022. p. 258:1-258:6 258 (Conference on Human Factors in Computing Systems - Proceedings).

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paperpeer-review

Harvard

Lord, C, Bates, O & Friday, A 2022, Critical Incident Technique and Gig-Economy Work (Deliveroo): Working with and Challenging Assumptions around Algorithms. in CHI 2022 - Extended Abstracts of the 2022 CHI Conference on Human Factors in Computing Systems., 258, Conference on Human Factors in Computing Systems - Proceedings, ACM, New York, pp. 258:1-258:6. https://doi.org/10.1145/3491101.3519865

APA

Lord, C., Bates, O., & Friday, A. (2022). Critical Incident Technique and Gig-Economy Work (Deliveroo): Working with and Challenging Assumptions around Algorithms. In CHI 2022 - Extended Abstracts of the 2022 CHI Conference on Human Factors in Computing Systems (pp. 258:1-258:6). Article 258 (Conference on Human Factors in Computing Systems - Proceedings). ACM. https://doi.org/10.1145/3491101.3519865

Vancouver

Lord C, Bates O, Friday A. Critical Incident Technique and Gig-Economy Work (Deliveroo): Working with and Challenging Assumptions around Algorithms. In CHI 2022 - Extended Abstracts of the 2022 CHI Conference on Human Factors in Computing Systems. New York: ACM. 2022. p. 258:1-258:6. 258. (Conference on Human Factors in Computing Systems - Proceedings). doi: 10.1145/3491101.3519865

Author

Lord, Carolynne ; Bates, Oliver ; Friday, Adrian. / Critical Incident Technique and Gig-Economy Work (Deliveroo) : Working with and Challenging Assumptions around Algorithms. CHI 2022 - Extended Abstracts of the 2022 CHI Conference on Human Factors in Computing Systems. New York : ACM, 2022. pp. 258:1-258:6 (Conference on Human Factors in Computing Systems - Proceedings).

Bibtex

@inproceedings{340f038d5e9e4766aacc7e15a768e958,
title = "Critical Incident Technique and Gig-Economy Work (Deliveroo): Working with and Challenging Assumptions around Algorithms",
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{\textquoteright}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{\textquoteright} own assumptions about their context, and to, therefore, better scope out contexts and iterate future research.",
author = "Carolynne Lord and Oliver Bates and Adrian Friday",
year = "2022",
month = apr,
day = "27",
doi = "10.1145/3491101.3519865",
language = "English",
series = "Conference on Human Factors in Computing Systems - Proceedings",
publisher = "ACM",
pages = "258:1--258:6",
booktitle = "CHI 2022 - Extended Abstracts of the 2022 CHI Conference on Human Factors in Computing Systems",

}

RIS

TY - GEN

T1 - Critical Incident Technique and Gig-Economy Work (Deliveroo)

T2 - Working with and Challenging Assumptions around Algorithms

AU - Lord, Carolynne

AU - Bates, Oliver

AU - Friday, Adrian

PY - 2022/4/27

Y1 - 2022/4/27

N2 - 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.

AB - 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.

U2 - 10.1145/3491101.3519865

DO - 10.1145/3491101.3519865

M3 - Conference contribution/Paper

T3 - Conference on Human Factors in Computing Systems - Proceedings

SP - 258:1-258:6

BT - CHI 2022 - Extended Abstracts of the 2022 CHI Conference on Human Factors in Computing Systems

PB - ACM

CY - New York

ER -