Design Opportunities for Freelancing Platforms: Online Freelancers’ Views on a Worker-Centred Design Fiction

Alvarez De La Vega, Juan Carlos, Cecchinato, Marta and Rooksby, John (2022) Design Opportunities for Freelancing Platforms: Online Freelancers’ Views on a Worker-Centred Design Fiction. In: CHIWORK 2022: Proceedings of the 1st Annual Meeting of the Symposium on Human-Computer Interaction for Work. ACM, New York, US, p. 12. ISBN 9781450396554

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Official URL: https://doi.org/10.1145/3533406.3533410

Abstract

Freelancing platforms, such as Upwork and Fiverr, have become a viable source of work for millions of freelancers worldwide. However, these gig economy systems are not typically designed in ways that centre workers’ preferences and wellbeing. In this paper, we describe the development and evaluation of ‘Freelance Grow,’ a design fiction portraying a freelancing platform that prioritises freelancers’ professional development and peer support. The design fiction was informed by a systematic literature assessment, using recommendations from twenty-six sources for improving online freelancers’ experiences. We then used the design fiction in focus groups with 23 online freelancers to investigate their views on the ideas suggested in our design fiction. Based upon a thematic analysis of the focus group transcripts, we present three opportunities and considerations for designing systems that further enable freelancers’ work autonomy, entrepreneurial development, and peer support. Ultimately, we contribute an expanded understanding of design approaches to support online freelancers in the gig economy.

Item Type: Book Section
Additional Information: Funding Information: Research funded by Northumbria University RDF Studentship (RDF19/EE/CIS/CECCHINATO). 1st Annual Meeting of the Symposium on Human-Computer Interaction for Work, CHIWORK 2022; Online, United States; 8-9 Jun 2022
Uncontrolled Keywords: Gig Economy, Online Freelancing Platforms, Upwork, Design Fiction, Worker-Centered Design
Subjects: G500 Information Systems
W200 Design studies
Department: Faculties > Engineering and Environment > Computer and Information Sciences
Depositing User: John Coen
Date Deposited: 12 Aug 2022 13:52
Last Modified: 12 Aug 2022 14:00
URI: http://nrl.northumbria.ac.uk/id/eprint/49840

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