Papers for

design teams

Papers whose findings have a practical use for this group, as judged from the abstract. Open a paper to read what it means in practice.

Pairs use AI tools to overcome challenges in shared design work

DuoSketch: How Pairs Navigate Challenges in AI-Supported Collaborative Design Ideation

Abstract: Generative AI offers new resources for collaborative design ideation, yet how designers work with it as a shared concept develops remains underexplored. We developed DuoSketch, integrating a shared canvas and live transcripts with a separate AI for each member of a pair. An exploratory qualitative study with 12 pairs identified three challenges: unresolved fit between AI proposals and shared design purposes, shared meanings not expressed in AI responses, and agreed changes missing from later outputs. We found that pairs navigated these challenges through bridging work in two directions: AI -> Shared Design (reworking features, developing uses, and assessing fit with shared requirements) and Shared Design -> AI (supplying materials, explaining meanings, and communicating decisions). We discuss how future AI systems can support the joint exploration and articulation of design ideas.

Wed 7 OctHuman-Computer Interaction

The gist

Working together on design ideas can be tricky, especially when using AI tools that don’t always understand the team’s shared goals. The authors created DuoSketch, a system where two people each have their own AI assistant helping on a shared design canvas. They found that pairs face challenges like AI suggestions not matching their joint plans or missing agreed changes later on. To deal with this, pairs do extra work to clarify how AI fits into their shared ideas and to teach AI what they mean. This research points to ways AI systems could better support teamwork in creative design.

Open → 2610.10249v1