The DOI matches its Crossref record; 32 of the 32 references it cites were found in a registry or an index.
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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“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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Cites
A Coefficient of Agreement for Nominal Scales
Cohen, J. (1960) · Educational and Psychological Measurement · doi:10.1177/001316446002000104 · Cited by 42,398
(1998) · Sage eBooks · Cited by 38,631
Basics of Qualitative Research: Techniques and Procedures for Developing Grounded Theory
Wuetherick, B. (2010) · Canadian Journal of University Continuing Education · doi:10.21225/d5g01t · Cited by 8,333
Multiple comparisons among means
Dunn, O. J. (1961) · Journal of the American Statistical Association · doi:10.1080/01621459.1961.10482090 · Cited by 5,006
In the shadow of misperception: assistive technology use and social interactions
Shinohara, K., & Wobbrock, J. O. (2011) · Proceedings of the SIGCHI Conference on Human Factors in Computing Systems · doi:10.1145/1978942.1979044 · Cited by 495
Kane, S. K., Jayant, C., Wobbrock, J. O., & Ladner, R. E. (2009) · Proceedings of the 11th international ACM SIGACCESS conference on Computers and accessibility · doi:10.1145/1639642.1639663 · Cited by 383 · cited 6×
“These individuals often prefer to use the same devices as everyone else, in part due to a desire to blend in [14].”
BackgroundInfluentialSelf-citationUsable gestures for mobile interfaces
Rico, J., & Brewster, S. A. (2010) · ACM SIGCHI Conference on Human Factors in Computing Systems (CHI) · doi:10.1145/1753326.1753458 · Cited by 376
Do life-logging technologies support memory for the past?: an experimental study using sensecam
Sellen, A. J., Fogg, A., Aitken, M., Hodges, S., Rother, C., & Wood, K. (2007) · Proceedings of the SIGCHI Conference on Human Factors in Computing Systems · doi:10.1145/1240624.1240636 · Cited by 324
Assistive Technology Use and Stigma
Parette, P., & Scherer, M. (2004) · Education and Training in Developmental Disabilities · doi:10.1177/215416470403900304 · Cited by 272
In situ with bystanders of augmented reality glasses
Denning, T., Dehlawi, Z., & Kohno, T. (2014) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/2556288.2557352 · Cited by 228
Flagged first, then by citations
Research works printed but not linked: 6
- Amazon Mechanical Turk. Access date: November 24, 2015. http://www.mturk.com/
- Google Glass. Access date: November 24, 2015. http://www.google.com/glass/start/
- Betsy Isaacson. 2013. 5 places Google Glass has already been banned. The Huffington Post. Access date: November 24, 2015. http://www.huffingtonpost.com/2013/04/10/googleglass-banned_n_3039935.html
- OrCam. Access date: September 24, 2015. http://www.orcam.com/
- SurveyGizmo. Access date: November 24, 2015. http://www.surveygizmo.com/
- 10.1007/s00779-003-0245--8 · DOI
Cited by
Sorted by citations
Items 101–130 of 130
Chen, J., Wang, X., Li, J., Chernyshov, G., Huang, Y., Kunze, K. S., Huang, J., Starner, T. E., & Zhang, Q. (2023) · CHI Conference Extended Abstracts on Human Factors in Computing Systems (CHI EA) · doi:10.1145/3544549.3585845 · Cited by 3
Vatavu, R.-D., Rusu, P. P., Schipor, O.-A., & Schipor, M.-D. (2021) · Multimedia Tools and Applications · doi:10.1007/s11042-021-11498-4 · Cited by 3
Safe audio AI services in smart buildings
Williams, J. A., Yazdanpanah, V., & Stein, S. (2022) · ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation (BuildSys) · doi:10.1145/3563357.3564076 · Cited by 3
Towards an Understanding of Real-time Captioning on Head-worn Displays
Tu, J., Lin, G. E., & Starner, T. E. (2020) · International Conference on Human-Computer Interaction with Mobile Devices and Services (MobileHCI) · doi:10.1145/3406324.3410543 · Cited by 3
Zuniga, R., & Magee, J. (2018) · Lecture notes in computer science · doi:10.1007/978-3-319-94274-2_7 · Cited by 3
Kudryashov, L. (2021) · Deep Blue (University of Michigan) · doi:10.7302/1729 · Cited by 3
Exploring Eye Visibility and Mutual Gaze in Augmented Reality Glasses
Perera, K. T., Langlotz, T., Pantidi, N., & Regenbrecht, H. T. (2024) · Australian Conference on Human-Computer Interaction (OzCHI) · doi:10.1145/3726986.3726999 · Cited by 2
Design of keyboard input control for mobile application using Head Movement Control (HEMOCS)
Tolle, H., Aknuranda, I., Ananta, M. T., Brata, K. C., & Az-Zahra, H. M. (2016) · International Conference on Advanced Computer Science and Information Systems · doi:10.1109/icacsis.2016.7872792 · Cited by 2
ToozKit: System for Experimenting with Captions on a Head-worn Display
Feng, P., Martin, D., & Starner, T. E. (2023) · ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp) · doi:10.1145/3594739.3610715 · Cited by 2
MeMic: Towards Social Acceptability of User-Only Speech Recording Wearables
Zulfikar, W. D., Pierce, C., & Maes, P. (2024) · CHI Conference Extended Abstracts on Human Factors in Computing Systems (CHI EA) · doi:10.1145/3613905.3650872 · Cited by 2
Assistive AR Glasses for People with Vision Impairments
Huber, M., Kaufmann, H., & Krösl, K. (2024) · IEEE International Symposium on Mixed and Augmented Reality Adjunct (ISMAR-Adjunct) · doi:10.1109/ismar-adjunct64951.2024.00102 · Cited by 2
Interaction-aware augmented reality interface for assisting erring social robots
Hosoda, K., Brščić, D., & Kanda, T. (2025) · Journal on Multimodal User Interfaces · doi:10.1007/s12193-025-00453-4 · Cited by 2
Kane, S. K. (2019) · Human-computer interaction series · doi:10.1007/978-1-4471-7440-0_35 · Cited by 2
Self-citationConversational Partner’s Perception of Subtle Display Use for Monitoring Notifications
Logas, J., Lin, G. E., Belan, K., Gogate, A., & Starner, T. E. (2021) · Augmented Humans International Conference (AHs) · doi:10.1145/3458709.3458942 · Cited by 2
Kang, J., Layton, E., Martin, D., & Starner, T. E. (2024) · CHI Conference Extended Abstracts on Human Factors in Computing Systems (CHI EA) · doi:10.1145/3613905.3650976 · Cited by 1
Zhang, S., Masu, R., Bettega, M., & Fan, M. (2025) · International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS) · doi:10.1145/3663547.3746466 · Cited by 1
Koelle, M., George, C., Schwind, V., Perry, D., Sakamoto, Y., Hasan, K., Mitchell, R., & Olsson, T. (2019) · Lecture notes in computer science · doi:10.1007/978-3-030-29390-1_73 · Cited by 1
Comparative Evaluation of Priming Effects on HMDs and Smartphones with Photo Taking Behaviors
Isoyama, N., Terada, T., & Tsukamoto, M. (2018) · Lecture notes in computer science · doi:10.1007/978-3-319-94307-7_6 · Cited by 1
Delivering Sign Language in a Live Planetarium Show Using Head-Mounted Displays and Infrared Light
Jones, M. D., & Lawler, M. (2019) · International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS) · doi:10.1145/3308561.3353809 · Cited by 1
First Bite/Chew: distinguish typical allergic food by two IMUs
Li, J., Wang, X., Chen, J., Starner, T. E., Chernyshov, G., Huang, J., Huang, Y., Kunze, K. S., & Zhang, Q. (2023) · Augmented Humans International Conference (AHs) · doi:10.1145/3582700.3583708
Corriette, B. (2023) · International Conference on Affective Computing and Intelligent Interaction Workshops and Demos (ACIIW) · doi:10.1109/aciiw59127.2023.10388101
Future So Bright, Gotta Wear Shades: Lens Tint May Affect Social Perception of Head-Worn Displays
Vempala, S., Mushyakov, J., Varadharajan, S. T., & Starner, T. E. (2024) · Augmented Humans International Conference (AHs) · doi:10.1145/3652920.3652948
How Problematic Are Suspenseful Interactions? MHCI015
Uhde, A. (2025) · Proceedings of the ACM on Human-Computer Interaction · doi:10.1145/3743731 · Cited by 1
Campanini, M. L., Costalunga, F., Bettelli, A., Mingardi, M., Orso, V., & Gamberini, L. (2025) · International Conference on Virtual Reality · doi:10.1109/icvr66534.2025.11172571
Reshaping Inclusive Interpersonal Dynamics through Smart Glasses in Mixed-Vision Social Activities
Ding, J., Zhang, Y., Zhu, X., Yang, K., Wei, Y., Wang, S., Liu, Y., & Jiao, Y. (2026) · Designing Interactive Systems Conference · doi:10.1145/3800645.3812989
Choi, J., Choi, D., Jeong, S., Hong, H., & Seering, J. (2026) · Designing Interactive Systems Conference · doi:10.1145/3800645.3812959
Loughrey, D. G., Brosens, C., Moiselle, R., Shterionov, D., Vandeghinste, V., Way, A., & Leeson, L. M. (2026) · AI and Ethics · doi:10.1007/s43681-026-01230-z · Cited by 1
Technology acceptance of passive brain-computer interfaces in vehicles for adaptive automation
Wehrle, T., Krahnen, L. S., Bauernfeind, G., Haar, A., & Meyer, B. (2026) · Transportation Research Part F Traffic Psychology and Behaviour · doi:10.1016/j.trf.2026.103828
McDonnell, E. J., Jones, T. E., & Pratt, W. (2026) · International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS) · doi:10.1145/3797867.3829045
Alizada, M., Westin, T., Idestam-Almquist, P., & Lampinen, A. (2026) · International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS) · doi:10.1145/3797867.3829016
Metadata
- 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
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