Interdependence in Action: People with Visual Impairments and their Guides Co-constituting Common Spaces
Abstract
Prior work on AI-enabled assistive technology (AT) for people with visual impairments (VI) has treated navigation largely as an independent activity. Consequently, much effort has focused on providing individual users with wayfinding details about the environment, including information on distances, proximity, obstacles, and landmarks. However, independence is also achieved by people with VI through interacting with others, such as in collaboration with sighted guides. Drawing on the concept of interdependence, this research presents a systematic analysis of sighted guiding partnerships. Using interaction analysis as our primary mode of data analysis, we conducted an empirical, qualitative study with 4 couples, each made up of person with a vision impairment and their sighted guide. Our results show how pairs used interactional resources such as turn-taking and body movements to both co-constitute a common space for navigation, and repair moments of rupture to this space. This work is used to present an exemplary case of interdependence and draws out implications for designing AI-enabled AT that shifts the emphasis away from independent navigation, and towards the carefully coordinated actions between people navigating together.
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According to a 2021 nationwide survey, students with disabilities are less likely to start and finish educational programs.
“According to a 2021 nationwide survey, students with disabilities are less likely to start and finish educational programs [85].”
From Neurodiversity and the Accessible University: Exploring Organizational Barriers, Access Labor and Opportunities for Change (2024) · cites this paper as [85]
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- Authors
- Vincenzi, B., Taylor, A. S., & Stumpf, S.
- Affiliations
- City, University of London (GB)
- Venue
- Proceedings of the ACM on Human-Computer Interaction
- Published
- 2021-04-13
- Volume
- 5
- Issue
- CSCW1
- Pages
- 1-33
- ISSN
- 2573-0142 (ISSN-L)
- OpenAlex
- W3132650801
- Cited by
- 48
- References
- 58
- Citations by year
- 2026: 14 · 2025: 10 · 2024: 13 · 2023: 8 · 2022: 3
- FWCI
- 9.88
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Proceedings of the ACM on Human-Computer Interaction (publishedVersion)
- City Research Online (City University London) (acceptedVersion)
- Funders
- City, University of London
- Topics
- Health Sciences › Health Professions › Occupational Therapy › Assistive Technology in Communication and Mobility
- Social Sciences › Human Factors and Ergonomics › Digital Accessibility for Disabilities
- Life Sciences › Neuroscience › Cognitive Neuroscience › Tactile and Sensory Interactions
- Keywords
- interdependence, visual impairment, assistive technology, wayfinding, cooperative navigation, turn-taking, body movement, couples, social interaction
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