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Zoom Obscura: Counterfunctional Design for Video-Conferencing

Elsden, C.; Chatting, D.; Duggan, M.; Dwyer, A.; Thornton, P.

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Authors

C. Elsden

D. Chatting

M. Duggan

A. Dwyer

P. Thornton



Abstract

This paper reports on Zoom Obscura – an artist-based design research project, responding to the ubiquity of video-conferencing as a technical and cultural phenomenon throughout the Covid-19 pandemic. As enterprise software, such as Zoom, rapidly came to mediate even the most personal and intimate interactions, we supported and collaborated with seven independent artists to explore technical and creative interventions in video-conferencing. Our call for participation sought critical interventions that would help users counter, and regain agency in regard to the various ways in which personal data is captured, transmitted and processed in video-conferencing tools. In this design study, we analyse posthoc how each of the seven projects employed aspects of counterfunctional design to achieve these aims. Each project reveals different avenues and strategies for counterfunctionality in videoconferencing software, as well as opportunities to design critically towards interactions and experiences that challenge existing norms and expectations around these platforms.

Citation

Elsden, C., Chatting, D., Duggan, M., Dwyer, A., & Thornton, P. (2022). Zoom Obscura: Counterfunctional Design for Video-Conferencing. In CHI '22: Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems (1-17). https://doi.org/10.1145/3491102.3501973

Start Date Apr 28, 2022
Acceptance Date Nov 18, 2021
Online Publication Date Apr 28, 2022
Publication Date Apr 28, 2022
Deposit Date Jan 13, 2022
Publicly Available Date Mar 28, 2024
Publisher Association for Computing Machinery (ACM)
Volume Article No. 143
Pages 1-17
Book Title CHI '22: Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems
DOI https://doi.org/10.1145/3491102.3501973
Public URL https://durham-repository.worktribe.com/output/1217231

Files

Accepted Journal Article (15.9 Mb)
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Copyright Statement
© {Owner/Author | ACM} 2022. This is the author's version of the work. It is posted here for your personal use. Not for redistribution. The definitive Version of Record was published in CHI '22, https://doi.org/10.1145/3491102.3501973





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