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Understanding the Impact of TVIs on Technology Use and Selection by Children with Visual Impairments

Authors:

Catherine M. Baker,

Lauren R. Milne,

Richard E. LadnerAuthors Info & Claims

CHI '19: Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems

Paper No.: 424, Pages 1 - 13

https://doi.org/10.1145/3290605.3300654

Published: 02 May 2019 Publication History

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Abstract

The use of technology in educational settings is extremely common. For many visually impaired children, educational settings are the first place they are exposed to the assistive technology that they will need to access mainstream computing devices. Current laws provide support for students to receive training from Teachers of the Visually Impaired (TVIs) on these assistive devices. Therefore, TVIs play an important role in the selection and training of technology. Through our interviews with TVIs, we discovered the factors that impact which technologies they select, how they attempt to mitigate the stigma associated with certain technologies, and the challenges that students face in learning assistive technologies. Through this research, we identified three needs that future research on assistive technology should address: (1) increasing focus on built-in accessibility features, (2) providing support for independent learning and exploration, and (3) creating technologies that can support users with progressive vision loss.

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Cited By

Steverson ACmar JHumm LSmith M(2025)Evaluating the Usability of Virtual Interview Training for Transition-Age Youth with Visual ImpairmentsInternational Journal of Human–Computer Interaction10.1080/10447318.2024.2443803(1-10)Online publication date: 6-Jan-2025
https://doi.org/10.1080/10447318.2024.2443803
Mountapmbeme ALudi S(2025)Designing accessible block-based programming environments for persons with visual impairmentsUniversal Access in the Information Society10.1007/s10209-025-01200-yOnline publication date: 19-Feb-2025
https://doi.org/10.1007/s10209-025-01200-y
Hong J(2024)Machines As Social Entities (MASE) ScaleSocial Science Computer Review10.1177/0894439323116721142:1(65-83)Online publication date: 1-Feb-2024
https://dl.acm.org/doi/10.1177/08944393231167211
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Index Terms

Understanding the Impact of TVIs on Technology Use and Selection by Children with Visual Impairments
1. Human-centered computing
  1. Accessibility
    1. Empirical studies in accessibility

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cover image ACM Conferences

CHI '19: Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems

May 2019

9077 pages

ISBN:9781450359702

DOI:10.1145/3290605

General Chairs:
Stephen Brewster
University of Glasgow, Scotland, UK
,
Geraldine Fitzpatrick
TU Wien, Austria
,
Program Chairs:
Anna Cox
University College London, UK
,
Vassilis Kostakos
University of Melbourne, Australia

Copyright © 2019 ACM.

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Published: 02 May 2019

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CHI '19: CHI Conference on Human Factors in Computing Systems

May 4 - 9, 2019

Glasgow, Scotland Uk

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Overall Acceptance Rate 6,199 of 26,314 submissions, 24%

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Cited By

Steverson ACmar JHumm LSmith M(2025)Evaluating the Usability of Virtual Interview Training for Transition-Age Youth with Visual ImpairmentsInternational Journal of Human–Computer Interaction10.1080/10447318.2024.2443803(1-10)Online publication date: 6-Jan-2025
https://doi.org/10.1080/10447318.2024.2443803
Mountapmbeme ALudi S(2025)Designing accessible block-based programming environments for persons with visual impairmentsUniversal Access in the Information Society10.1007/s10209-025-01200-yOnline publication date: 19-Feb-2025
https://doi.org/10.1007/s10209-025-01200-y
Hong J(2024)Machines As Social Entities (MASE) ScaleSocial Science Computer Review10.1177/0894439323116721142:1(65-83)Online publication date: 1-Feb-2024
https://dl.acm.org/doi/10.1177/08944393231167211
Smolansky AYang MAzenkot S(2024)Towards Designing Digital Learning Tools for Students with Cortical/Cerebral Visual Impairments: Leveraging Insights from Teachers of the Visually ImpairedProceedings of the 26th International ACM SIGACCESS Conference on Computers and Accessibility10.1145/3663548.3675636(1-18)Online publication date: 27-Oct-2024
https://dl.acm.org/doi/10.1145/3663548.3675636
Smolansky ABaker CAzenkot SMilne L(2024)Perspectives of Assistive Technology Industry Professionals on AT for ChildrenExtended Abstracts of the CHI Conference on Human Factors in Computing Systems10.1145/3613905.3650902(1-7)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613905.3650902
Baser DKamali‐Arslantas T(2024)Assistive technologies for visual impairments: Development and validation of self‐efficacy scale for preservice teachersPsychology in the Schools10.1002/pits.2322561:8(3421-3434)Online publication date: 7-May-2024
https://doi.org/10.1002/pits.23225
Rashid MWei NWang D(2023)A survey on social-physical sensing: An emerging sensing paradigm that explores the collective intelligence of humans and machinesCollective Intelligence10.1177/263391372311708252:2Online publication date: 1-Apr-2023
https://dl.acm.org/doi/10.1177/26339137231170825
Hernandez Sanchez JAmanhoud WBillard ABouri M(2023)Enabling four-arm laparoscopic surgery by controlling two robotic assistants via haptic foot interfacesInternational Journal of Robotics Research10.1177/0278364923118036642:7(475-503)Online publication date: 1-Jun-2023
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Ndlovu LBayaga ABlignaut S(2023)Acceptance of Job Access with Speech (Jaws) as an Assistive Computer Application SoftwareModern Artificial Intelligence and Data Science10.1007/978-3-031-33309-5_25(307-318)Online publication date: 26-Aug-2023
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Nygren NKankainen VBrunet L(2022)Offsetting Game—Framing Environmental Issues in the Design of a Serious GameSimulation and Gaming10.1177/1046878122112678653:6(615-644)Online publication date: 1-Dec-2022
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