mlsanityData to 7 Oct 2026

Engaging with Children's Artwork in Mixed Visual-Ability Families

arXiv 2407.18874 ↗First posted 26 Jul 2024cs.HC cs.AIcited by 3

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Abstract (arXiv)

We present two studies exploring how blind or low-vision (BLV) family members engage with their sighted children's artwork, strategies to support understanding and interpretation, and the potential role of technology, such as AI, therein. Our first study involved 14 BLV individuals, and the second included five groups of BLV individuals with their children. Through semi-structured interviews with AI descriptions of children's artwork and multi-sensory design probes, we found that BLV family members value artwork engagement as a bonding opportunity, preferring the child's storytelling and interpretation over other nonvisual representations. Additionally, despite some inaccuracies, BLV family members felt that AI-generated descriptions could facilitate dialogue with their children and aid self-guided art discovery. We close with specific design considerations for supporting artwork engagement in mixed visual-ability families, including enabling artwork access through various methods, supporting children's corrections of AI output, and distinctions in context vs. content and interpretation vs. description of children's artwork.

Key facts. Cited by 3 papers in the map (data through 7 Oct 2026). Builds on 10 of its 67 references that are in the map. First posted on arXiv 26 Jul 2024.

Builds on

10 of 67 references.

References · 10

  1. 2022StoryBuddy: A Human-AI Collaborative Chatbot for Parent-Child Interactive Storytelling with Flexible Parental Involvementcited by 37
  2. 2024Investigating Use Cases of AI-Powered Scene Description Applications for Blind and Low Vision Peoplecited by 24
  3. 2023GenAssist: Making Image Generation Accessiblecited by 18
  4. 2023Understanding Visual Arts Experiences of Blind Peoplecited by 9
  5. 2023ImageAssist: Tools for Enhancing Touchscreen-Based Image Exploration Systems for Blind and Low Vision Userscited by 6
  6. 2023An Autoethnographic Case Study of Generative Artificial Intelligence's Utility for Accessibilitycited by 6
  7. 2021Technology Developments in Touch-Based Accessible Graphics: A Systematic Review of Research 2010-2020cited by 4
  8. 2023Inclusive Portraits: Race-Aware Human-in-the-Loop Technologycited by 3
  9. 2022Tactile Materials in Practice: Understanding the Experiences of Teachers of the Visually Impairedcited by 2
  10. 2023Participatory Design of AI with Children: Reflections on IDC Design Challengecited by 1

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2025: 1; 2026: 2.

3 papers.

  1. 2025StreetReaderAI: Making Street View Accessible Using Context-Aware Multimodal AIcited by 5
  2. 2026Querying Multimodal Scientific Papers with AI: Practices and Preferences Across Blind, Low-Vision, and Sighted Scientistscited by 1
  3. 2026Creating Disability Story Videos with Generative AI: Motivation, Expression, and Sharingcited by 0