Conference Paper/Proceeding/Abstract 467 views 2 downloads
Street Scenes: Public Appliances for GenAI Video in Informal Settlements
Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems, Pages: 1 - 22
Swansea University Authors:
Gavin Bailey , Jen Pearson
, Simon Robinson
, Matt Jones
-
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© 2026 Copyright held by the owner/author(s). This work is licensed under a Creative Commons Attribution 4.0 International License.
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DOI (Published version): 10.1145/3772318.3791033
Abstract
Generative AI is rapidly diffusing worldwide, yet access remains uneven. In informal settlements, barriers of cost, literacy and connectivity can exclude residents from AI-enabled self-expression. This paper presents Street Scenes: a public appliance for walk-up interaction with generative AI video...
| Published in: | Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems |
|---|---|
| ISBN: | 979-8-4007-2278-3 |
| Published: |
New York, NY, USA
Association for Computing Machinery (ACM)
2026
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| URI: | https://cronfa.swan.ac.uk/Record/cronfa71272 |
| first_indexed |
2026-01-19T16:01:39Z |
|---|---|
| last_indexed |
2026-05-16T05:20:44Z |
| id |
cronfa71272 |
| recordtype |
SURis |
| fullrecord |
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In informal settlements, barriers of cost, literacy and connectivity can exclude residents from AI-enabled self-expression. This paper presents Street Scenes: a public appliance for walk-up interaction with generative AI video in Dharavi, Mumbai. Inspired by the “Hole in the Wall” computers and previous Dharavi speech deployments, the system lets passers-by capture phone images, add voice-, button- and dial-based prompts, and generate short videos to view and leave locally. We report on ideation workshops, two Wizard-of-Oz prototypes and a 13-day in-situ deployment across Dharavi street locations. Findings show residents appropriating AI for play, self-presentation, small business promotion and community messaging, while also raising concerns about privacy, trust and misuse. 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2026-05-15T12:40:18.6249733 v2 71272 2026-01-19 Street Scenes: Public Appliances for GenAI Video in Informal Settlements 22a3941f1c07bf22a71a87d30b7d2d52 0000-0002-9445-9626 Gavin Bailey Gavin Bailey true false 6d662d9e2151b302ed384b243e2a802f 0000-0002-1960-1012 Jen Pearson Jen Pearson true false cb3b57a21fa4e48ec633d6ba46455e91 0000-0001-9228-006X Simon Robinson Simon Robinson true false 10b46d7843c2ba53d116ca2ed9abb56e 0000-0001-7657-7373 Matt Jones Matt Jones true false 2026-01-19 MACS Generative AI is rapidly diffusing worldwide, yet access remains uneven. In informal settlements, barriers of cost, literacy and connectivity can exclude residents from AI-enabled self-expression. This paper presents Street Scenes: a public appliance for walk-up interaction with generative AI video in Dharavi, Mumbai. Inspired by the “Hole in the Wall” computers and previous Dharavi speech deployments, the system lets passers-by capture phone images, add voice-, button- and dial-based prompts, and generate short videos to view and leave locally. We report on ideation workshops, two Wizard-of-Oz prototypes and a 13-day in-situ deployment across Dharavi street locations. Findings show residents appropriating AI for play, self-presentation, small business promotion and community messaging, while also raising concerns about privacy, trust and misuse. We contribute: (1) a model for public AI appliances; (2) empirical insights into community engagement with generative AI; and, (3) design lessons for accessible, equitable and community-governed AI systems. Conference Paper/Proceeding/Abstract Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems 1 22 Association for Computing Machinery (ACM) New York, NY, USA 979-8-4007-2278-3 Generative AI, public appliances, creativity, informal settlements, slum communities, HCI4D, ICTD, video generation, public space, technologies, community media 13 4 2026 2026-04-13 10.1145/3772318.3791033 COLLEGE NANME Mathematics and Computer Science School COLLEGE CODE MACS Swansea University SU Library paid the OA fee (TA Institutional Deal) This work was supported by Engineering and Physical Sciences Research Council grant EP/Y010477/1 and Responsible AI UK grant IA012. 2026-05-15T12:40:18.6249733 2026-01-19T10:59:56.5737715 Faculty of Science and Engineering School of Mathematics and Computer Science - Computer Science Gavin Bailey 0000-0002-9445-9626 1 Dani Kalarikalayil Raju 0000-0003-1854-5271 2 Jen Pearson 0000-0002-1960-1012 3 Simon Robinson 0000-0001-9228-006X 4 Matt Jones 0000-0001-7657-7373 5 71272__36744__b5d40a626ba943a093f73f8e4b639dc8.pdf 71272.VOR.pdf 2026-05-15T11:44:38.4428565 Output 3598260 application/pdf Version of Record true © 2026 Copyright held by the owner/author(s). This work is licensed under a Creative Commons Attribution 4.0 International License. true eng https://creativecommons.org/licenses/by/4.0/ |
| title |
Street Scenes: Public Appliances for GenAI Video in Informal Settlements |
| spellingShingle |
Street Scenes: Public Appliances for GenAI Video in Informal Settlements Gavin Bailey Jen Pearson Simon Robinson Matt Jones |
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Street Scenes: Public Appliances for GenAI Video in Informal Settlements |
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Street Scenes: Public Appliances for GenAI Video in Informal Settlements |
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Street Scenes: Public Appliances for GenAI Video in Informal Settlements |
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Street Scenes: Public Appliances for GenAI Video in Informal Settlements |
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Street Scenes: Public Appliances for GenAI Video in Informal Settlements |
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Generative AI is rapidly diffusing worldwide, yet access remains uneven. In informal settlements, barriers of cost, literacy and connectivity can exclude residents from AI-enabled self-expression. This paper presents Street Scenes: a public appliance for walk-up interaction with generative AI video in Dharavi, Mumbai. Inspired by the “Hole in the Wall” computers and previous Dharavi speech deployments, the system lets passers-by capture phone images, add voice-, button- and dial-based prompts, and generate short videos to view and leave locally. We report on ideation workshops, two Wizard-of-Oz prototypes and a 13-day in-situ deployment across Dharavi street locations. Findings show residents appropriating AI for play, self-presentation, small business promotion and community messaging, while also raising concerns about privacy, trust and misuse. We contribute: (1) a model for public AI appliances; (2) empirical insights into community engagement with generative AI; and, (3) design lessons for accessible, equitable and community-governed AI systems. |
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2026-04-13T13:21:21Z |
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