AltCanvas: A Tile-Based Image Editor with Generative AI for Blind or Visually Impaired People
August 05, 2024 Β· Declared Dead Β· π arXiv.org
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Authors
Seonghee Lee, Maho Kohga, Steve Landau, Sile O'Modhrain, Hari Subramonyam
arXiv ID
2408.10240
Category
cs.HC: Human-Computer Interaction
Cross-listed
cs.AI,
cs.CV
Citations
1
Venue
arXiv.org
Last Checked
4 months ago
Abstract
People with visual impairments often struggle to create content that relies heavily on visual elements, particularly when conveying spatial and structural information. Existing accessible drawing tools, which construct images line by line, are suitable for simple tasks like math but not for more expressive artwork. On the other hand, emerging generative AI-based text-to-image tools can produce expressive illustrations from descriptions in natural language, but they lack precise control over image composition and properties. To address this gap, our work integrates generative AI with a constructive approach that provides users with enhanced control and editing capabilities. Our system, AltCanvas, features a tile-based interface enabling users to construct visual scenes incrementally, with each tile representing an object within the scene. Users can add, edit, move, and arrange objects while receiving speech and audio feedback. Once completed, the scene can be rendered as a color illustration or as a vector for tactile graphic generation. Involving 14 blind or low-vision users in design and evaluation, we found that participants effectively used the AltCanvas workflow to create illustrations.
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