Toward AI Assistants That Let Designers Design
Sebastiaan De Peuter (1), Antti Oulasvirta (2), Samuel Kaski (1, 3), ((1) Department of Computer Science, Aalto University, Finland, (2), Department of Communications, Networking, Aalto University, Finland, (3), Department of Computer Science, University of Manchester, UK)

TL;DR
This paper proposes a new AI framework for assisting designers by understanding their goals and supporting their creativity without disrupting their workflow, emphasizing cooperation over automation.
Contribution
It introduces a generative user model-based framework for AI-assisted design that infers designer goals and supports their creative process.
Findings
Framework enables AI to infer designer goals effectively
Supports non-disruptive, cooperative design assistance
Lays groundwork for future AI tools in creative design
Abstract
AI for supporting designers needs to be rethought. It should aim to cooperate, not automate, by supporting and leveraging the creativity and problem-solving of designers. The challenge for such AI is how to infer designers' goals and then help them without being needlessly disruptive. We present AI-assisted design: a framework for creating such AI, built around generative user models which enable reasoning about designers' goals, reasoning, and capabilities.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsDesign Education and Practice · Manufacturing Process and Optimization
