ArtInsight
AI-powered system to facilitate deeper engagement with child-created artwork in mixed visual-ability families.
Timeline
Summer 2024 – Spring 2025
Roles
Interaction Designer
User Researcher
Team
Arnavi Chheda-Kothary
Ritesh Kanachi
Kevin Xiao
Aditya Sengupta
Chris Sanders
Tools
Figma
Figjam
Premiere Pro
Overview
Context
ArtInsight is a project under the Makeability Lab, an applied machine learning lab focused on accessible technology.
My Role
As a designer and researcher, I created interfaces reflecting key insights from an initial study using the IOS 18 UI kit, assisted with usability testing and thematic analysis, and created video demonstrations for conference submissions.
Impact
Paper accepted to ACM IUI 2025.
Challenge
We built on prior research on the positive impact of AI art description in mixed visual ability families. Key findings included the desire to tweak AI outputs and that descriptions should be respectful and thorough.
Current image-to-text applications intended to assist blind or low-vision individuals lack artistic language and nuance.
Opportunity
We developed ArtInsight using Figma and SwiftUI, powered by a custom Chat-GPT 4o assistant.
Features
AI Descriptions
Users can toggle between a more objective, descriptive description and a more presumptive, creative description for varying perspectives.
Audio Recording
Allows children to record a voice memo to describe the artwork themselves, which may be used to feed additional context into the artwork description.
Questions
Generates set of three example questions, used to stimulate and strengthen discussion.
