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Can't touch this: Rethinking public technology in a COVID-19 era

Pearson, Jennifer; Bailey, Gavin; Robinson, Simon; Jones, Matt; Owen, Tom; Zhang, Chi; Reitmaier, Thomas; Steer, Cameron; Carter, Anna; Sahoo, Deepak Ranjan; Raju, Dani Kalarikalayil

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Authors

Jennifer Pearson

Gavin Bailey

Simon Robinson

Matt Jones

Tom Owen

Chi Zhang

Thomas Reitmaier

Cameron Steer

Anna Carter

Deepak Ranjan Sahoo

Dani Kalarikalayil Raju



Abstract

What do pedestrian crossings, ATMs, elevators and ticket machines have in common? These are just a few of the ubiquitous yet essential elements of public-space infrastructure that rely on physical buttons or touchscreens; common interactions that, until recently, were considered perfectly safe to perform. This work investigates how we might integrate touchless technologies into public-space infrastructure in order to minimise physical interaction with shared devices in light of the ongoing COVID-19 pandemic. Drawing on an ethnographic exploration into how public utilities are being used, adapted or avoided, we developed and evaluated a suite of technology probes that can be either retrofitted into, or replace, these services. In-situ community deployments of our probes demonstrate strong uptake and provide insight into how hands-free technologies can be adapted and utilised for the public domain; and, in turn, used to inform the future of walk-up-and use public technologies.

Citation

Pearson, J., Bailey, G., Robinson, S., Jones, M., Owen, T., Zhang, C., …Raju, D. K. (2022). Can't touch this: Rethinking public technology in a COVID-19 era. In CHI '22: Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems (1-14). https://doi.org/10.1145/3491102.3501980

Conference Name Conference on Human Factors in Computing Systems
Acceptance Date Feb 10, 2022
Online Publication Date Apr 29, 2022
Publication Date Apr 29, 2022
Deposit Date Oct 5, 2023
Publicly Available Date Oct 5, 2023
Publisher Association for Computing Machinery (ACM)
Pages 1-14
Book Title CHI '22: Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems
ISBN 9781450391573
DOI https://doi.org/10.1145/3491102.3501980
Public URL https://uwe-repository.worktribe.com/output/11128832

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