DesignTrace: Exploring, Iterating and Tracking Design Alternatives with GenAI

要旨

Creativity support tools have begun to incorporate GenAI for exploring ideas. However, our preliminary study with nine designers showed that current GenAI tools lack explicit support for iteratively evolving, reflecting upon and tracking design alternatives. We developed DesignTrace, an early-stage GenAI design tool that allows designers to experiment with semantically relevant visual variations in an interactive design space. Its representation captures the progression of designers’ visual and semantic ideas through command histories, state tracking, and an interactive branching structure. A study of twelve professional designers shows that DesignTrace’s palette helps express, explore, and reflect on design intentions. Its interactive branching structure helps them maintain visual consistency across design iterations; remember and revisit earlier design decisions; and see connections across ideas. Our work shows how re-envisioning GenAI-based interfaces around explicit design traces enable designers to benefit from generative capabilities while maintaining control as they explore design variants.

著者
Xiaohan Peng
Université Paris-Saclay, CNRS, Inria, Orsay, France
Debanjana Haldar
Université Paris-Saclay, CNRS, Inria, Orsay, France
Wendy E.. Mackay
Université Paris-Saclay, CNRS, Inria, Orsay, France
Janin Koch
UMR 9189 CRIStAL, Lille, France

会議: CHI 2026

ACM CHI Conference on Human Factors in Computing Systems

セッション: Designing Creative GenAI Tools

P1 - Room 115
7 件の発表
2026-04-15 18:00:00
2026-04-15 19:30:00