Street Scenes: Public Appliances for GenAI Video in Informal Settlements

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Authors: Gavin Bailey, Dani Kalarikalayil Raju, Jennifer S. Pearson, Simon Robinson, Matt Jones
Cited by: 1
References: 45

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 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.

Fields of Study & Subjects

ICT in Developing Communities Innovative Human-Technology Interaction Ethics and Social Impacts of AI

Publication details

Journal / source
Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems
Publisher
ACM
Pages
1–22
Publication date
13 April 2026
Language
EN