Human-Computer Counter-Choreographies: raising awareness of data tracking through live coding

要旨

In this paper we describe how we designed the performance Human-Computer Counter-Choreographies (HCCC) using a methodology that borrows from artistic research, critical design, choreography, and embodied sense-making. HCCC is a live-coding performance in which I (the first author) manipulate JavaScript code and use a modified version of the open-source DuckDuckGo privacy extension to unveil online tracking algorithms on stage. Throughout the performance, the audience is encouraged to participate in a sequence of choreographic prompts where they embody aspects of online tracking such as fingerprinting and profiling. We analysed audience responses to questionnaires after three performances of HCCC and found that it allows audience members to gain awareness and engage their bodies to critically reflect on online tracking. We contribute a new approach to live-coding that bridges choreography with online tracking, and present empirical findings on the efficacy of this approach to engage audiences in reflecting on data tracking.

著者
Joana Chicau
University of the Arts London, London, United Kingdom
Sarah Fdili Alaoui
University of the Arts London, London, United Kingdom
John Fass
London College of Communication, London, United Kingdom
Rebecca Fiebrink
University of the Arts London, London, United Kingdom
DOI

10.1145/3706598.3713432

論文URL

https://dl.acm.org/doi/10.1145/3706598.3713432

動画

会議: CHI 2025

The ACM CHI Conference on Human Factors in Computing Systems (https://chi2025.acm.org/)

セッション: Technology for Artistic Expression

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7 件の発表
2025-04-29 20:10:00
2025-04-29 21:40:00
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