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 language | English |
|---|---|
| Title of host publication | Extended Abstracts of the 2024 CHI Conference on Human Factors in Computing Sytems |
| Editors | Julie R. Williamson, Corina Sas |
| Place of Publication | New York NY USA |
| Publisher | Association for Computing Machinery (ACM) |
| Number of pages | 9 |
| ISBN (Electronic) | 9798400703317 |
| DOIs | |
| Publication status | Published - 2024 |
| Event | International Conference on Human Factors in Computing Systems 2024: Surfing the World - Hybrid, Honolulu, United States of America Duration: 11 May 2024 → 16 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
| Conference | International Conference on Human Factors in Computing Systems 2024 |
|---|---|
| Abbreviated title | CHI 2024 |
| Country/Territory | United States of America |
| City | Honolulu |
| Period | 11/05/24 → 16/05/24 |
| Internet address |
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Keywords
- assistive devices
- augmented reality
- cerebral visual impairment
- computer vision
- machine learning
- virtual reality
Equipment
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