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

arXiv: https://arxiv.org/abs/2407.18874 · HTML: https://mlsanity.com/paper/2407.18874/

## Key facts

- Cited by 3 papers in the map (data through 14 Oct 2026).
- Builds on 10 of its 67 references that are in the map.
- First posted on arXiv 26 Jul 2024.

## Builds on (most cited first, 10 of 10)

- [StoryBuddy: A Human-AI Collaborative Chatbot for Parent-Child Interactive Storytelling with Flexible Parental Involvement](https://mlsanity.com/paper/2202.06205/) (2022)
- [Investigating Use Cases of AI-Powered Scene Description Applications for Blind and Low Vision People](https://mlsanity.com/paper/2403.15604/) (2024)
- [GenAssist: Making Image Generation Accessible](https://mlsanity.com/paper/2307.07589/) (2023)
- [Understanding Visual Arts Experiences of Blind People](https://mlsanity.com/paper/2301.12687/) (2023)
- [An Autoethnographic Case Study of Generative Artificial Intelligence's Utility for Accessibility](https://mlsanity.com/paper/2308.09924/) (2023)
- [ImageAssist: Tools for Enhancing Touchscreen-Based Image Exploration Systems for Blind and Low Vision Users](https://mlsanity.com/paper/2302.09124/) (2023)
- [Technology Developments in Touch-Based Accessible Graphics: A Systematic Review of Research 2010-2020](https://mlsanity.com/paper/2102.01273/) (2021)
- [Inclusive Portraits: Race-Aware Human-in-the-Loop Technology](https://mlsanity.com/paper/2311.03567/) (2023)
- [Tactile Materials in Practice: Understanding the Experiences of Teachers of the Visually Impaired](https://mlsanity.com/paper/2202.12280/) (2022)
- [Participatory Design of AI with Children: Reflections on IDC Design Challenge](https://mlsanity.com/paper/2304.09091/) (2023)

## Built on by (most cited first, 3 of 3)

- [StreetReaderAI: Making Street View Accessible Using Context-Aware Multimodal AI](https://mlsanity.com/paper/2508.08524/) (2025)
- [Querying Multimodal Scientific Papers with AI: Practices and Preferences Across Blind, Low-Vision, and Sighted Scientists](https://mlsanity.com/paper/2607.18514/) (2026)
- [Creating Disability Story Videos with Generative AI: Motivation, Expression, and Sharing](https://mlsanity.com/paper/2601.12617/) (2026)

## 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.