Vision-Based Assistive Technologies for People with Cerebral Visual Impairment: A Review and Focus Study
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arXiv
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| Format: | Preprint |
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2025
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| author | Gamage, Bhanuka Holloway, Leona McDowell, Nicola Do, Thanh-Toan Price, Nicholas Lowery, Arthur Marriott, Kim |
| author_facet | Gamage, Bhanuka Holloway, Leona McDowell, Nicola Do, Thanh-Toan Price, Nicholas Lowery, Arthur Marriott, Kim |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2505_22983 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Vision-Based Assistive Technologies for People with Cerebral Visual Impairment: A Review and Focus Study Gamage, Bhanuka Holloway, Leona McDowell, Nicola Do, Thanh-Toan Price, Nicholas Lowery, Arthur Marriott, Kim Human-Computer Interaction 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. |
| title | Vision-Based Assistive Technologies for People with Cerebral Visual Impairment: A Review and Focus Study |
| topic | Human-Computer Interaction |
| url | https://arxiv.org/abs/2505.22983 |