Vision-Based Assistive Technologies for People with Cerebral Visual Impairment: A Review and Focus Study
Journal:
arXiv
Published Date:
May 29, 2025
Abstract
Over the past decade, considerable research has investigated Vision-Based
Assistive Technologies (VBAT) to support people with vision impairments to
understand and interact with their immediate environment 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, CVI arises
from damage to the brain's visual processing centres. Through a scoping review,
this paper reveals a significant research gap in addressing the needs of this
demographic. Three focus studies involving 7 participants with CVI explored the
challenges, current strategies, and opportunities for VBAT. We also discussed
the assistive technology needs of people with CVI compared with ocular low
vision. 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.
