Friday 14 March 2025
A team of researchers has made significant progress in understanding how people with low vision perceive and interact with visual information. By analyzing eye movement data, they’ve identified five distinct visual intents that these individuals use when engaging with images.
The study involved 14 participants with various types of low vision, including macular degeneration, retinitis pigmentosa, and glaucoma. Each participant was presented with a series of images and asked to complete tasks such as identifying objects, reading text, and understanding the overall context of the image.
Using eye tracking technology, the researchers recorded the participants’ gaze patterns as they interacted with the images. They found that each individual’s visual intent was unique and influenced by their specific type and severity of low vision.
The five visual intents identified in the study were searching, observing, traversing, comparing, and exploring. Searching involves scanning an image to locate a specific object or piece of information, while observing focuses on a single area of interest. Traversing refers to moving between different parts of an image, often to understand its overall layout. Comparing involves examining two or more objects or pieces of information to identify similarities or differences. Exploring is the most flexible intent, involving a general search for information without a specific goal in mind.
The researchers also discovered that low vision individuals tend to use their functional vision more frequently than sighted people do, even when it’s challenging. This means that they may rely more heavily on visual cues and context to understand an image, rather than relying solely on text-based information.
The study’s findings have significant implications for the design of assistive technologies and visual aids for individuals with low vision. By understanding how these individuals perceive and interact with visual information, developers can create more effective solutions that cater to their specific needs.
For example, the researchers suggest that image descriptions could be optimized to include multiple levels of information, such as object identification, details, and overall context. This would allow low vision individuals to access a wider range of visual content and improve their independence.
The study also highlights the importance of considering individual differences in visual intent when designing assistive technologies. By acknowledging these variations, developers can create more personalized solutions that better meet the needs of people with low vision.
Overall, this research has shed new light on the complex ways in which people with low vision interact with visual information. Its findings have significant implications for the development of more effective assistive technologies and visual aids, ultimately improving the lives of individuals with low vision.
Cite this article: “Uncovering Visual Intents: New Insights into Low Vision Perception”, The Science Archive, 2025.
Low Vision, Eye Movement, Visual Intent, Assistive Technology, Image Description, Accessibility, Visual Perception, Blindness, Vision Impairment, Disability.
