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Broadening Our View: Assistive Technology for Cerebral Visual Impairment

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Abstract

Over the past decade, considerable research has been directed towards assistive technologies to support people with vision impairments using machine learning, computer vision, image enhancement, and/or augmented/virtual reality. However, this has almost totally overlooked a growing demographic: people with Cerebral Visual Impairment (CVI). Unlike Ocular Vision Impairments (OVI), CVI arises from damage to the brain's visual processing centres. This paper introduces CVI and reveals a wide research gap in addressing the needs of this demographic. Through a scoping review, we identified 14 papers at the intersection of these technologies and CVI. Of these, only three papers described assistive technologies focused on people living with CVI, with the others focusing on diagnosis, understanding, simulation or rehabilitation. Our findings highlight the opportunity for the Human-Computer Interaction and Assistive Technologies research community to explore and address this underrepresented domain, thereby enhancing the quality of life for people with CVI.

Original languageEnglish
Title of host publicationExtended Abstracts of the 2024 CHI Conference on Human Factors in Computing Sytems
EditorsJulie R. Williamson, Corina Sas
Place of PublicationNew York NY USA
PublisherAssociation for Computing Machinery (ACM)
Number of pages9
ISBN (Electronic)9798400703317
DOIs
Publication statusPublished - 2024
EventInternational Conference on Human Factors in Computing Systems 2024: Surfing the World - Hybrid, Honolulu, United States of America
Duration: 11 May 202416 May 2024
https://chi2024.acm.org/
https://dl.acm.org/doi/proceedings/10.1145/3613904 (proceedings)
https://dl.acm.org/doi/proceedings/10.1145/3613905 (Extended Abstracts)

Conference

ConferenceInternational Conference on Human Factors in Computing Systems 2024
Abbreviated titleCHI 2024
Country/TerritoryUnited States of America
CityHonolulu
Period11/05/2416/05/24
Internet address

Keywords

  • assistive devices
  • augmented reality
  • cerebral visual impairment
  • computer vision
  • machine learning
  • virtual reality

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