The AT Effect: How Disability Affects the Perceived Social Acceptability of Head-Mounted Display Use
Open accessAbstract
Wearable computing devices offer new possibilities to increase accessibility and independence for individuals with disabilities. However, the adoption of such devices may be influenced by social factors, and useful devices may not be adopted if they are considered inappropriate to use. While public policy may adapt to support accommodations for assistive technology, emerging technologies may be unfamiliar or unaccepted by bystanders. We surveyed 1200 individuals about the use of a head-mounted display in a public setting, examining how information about the user's disability affected judgments of the social acceptability of the scenario. Our findings reveal that observers considered head-mounted display use more socially acceptable if the device was being used to support a person with a disability.
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The general public may not accept Google Glass due to privacy concerns, but its use to help people with visual impairments may receive more acceptance.
“For example, the general public may not accept Google Glass due to privacy concerns, but its use to help people with visual impairments may receive more acceptance (Profita et al., 2016).”
From Exploring the role of generative AI in higher education: Semi-structured interviews with students with disabilities (2025) · cites this paper as Profita et al., 2016
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- Diverse Disabilities and Technological Support #chi4good, CHI 2016, San Jose, CA, USA
- Diverse Disabilities and Technological Support #chi4good, CHI 2016, San Jose, CA, USA
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Evaluating Display Modalities Using a Mixed Reality Game
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Uncovering Practical Security and Privacy Threats for Connected Glasses with Embedded Video Cameras
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AI and Accessibility: A Discussion of Ethical ConsiderationsPreprint
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Educational Opportunities for Immersive Virtual Reality
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Preferences for Captioning on Emulated Head Worn Displays While in Group Conversation
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Deinstitutionalizing Independence
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Educational Opportunities for Immersive Virtual Reality
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Mixed Abilities and Varied Experiences: A Group Autoethnography of a Virtual Summer Internship
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Ubiquitous Intelligent Cameras—Between Legal Nightmare and Social Empowerment
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“I Choose Assistive Devices That Save My Face”
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- Authors
- Profita, H., Albaghli, R., Findlater, L., Jaeger, P., & Kane, S. K.
- Affiliations
- University of Colorado Boulder (US)
- University of Maryland, College Park (US)
- Venue
- Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems
- Publisher
- ACM
- Published
- 2016-05-07
- Pages
- 4884-4895
- OpenAlex
- W2398493637
- Cited by
- 131
- References
- 32
- Citations by year
- 2026: 6 · 2025: 9 · 2024: 12 · 2023: 14 · 2022: 12 · 2021: 16 · 2020: 16 · 2019: 14 · 2018: 20 · 2017: 9 · 2016: 3
- FWCI
- 38.38
- Type
- conference paper
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- CHI Conference on Human Factors in Computing Systems (publishedVersion)
- Funders
- NSF (IIS-1350438)
- Topics
- Health Sciences › Health Professions › Occupational Therapy › Assistive Technology in Communication and Mobility
- Physical Sciences › Computer Science › Human-Computer Interaction › Innovative Human-Technology Interaction
- Social Sciences › Human Factors and Ergonomics › Digital Accessibility for Disabilities
- Keywords
- assistive technology, wearable computing, head-mounted displays, social acceptance, disability, technology adoption, accessibility, public policy
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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