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.
@article{arxiv.2505.21875,
title = {Broadening Our View: Assistive Technology for Cerebral Visual Impairment},
author = {Bhanuka Gamage and Leona Holloway and Nicola McDowell and Thanh-Toan Do and Nicholas Seow Chiang Price and Arthur James Lowery and Kim Marriott},
journal= {arXiv preprint arXiv:2505.21875},
year = {2025}
}
Comments
Author's accepted version of a LBW paper published in Extended Abstracts of the CHI Conference on Human Factors in Computing Systems (CHI EA '24)