Toward AI Assistants That Let Designers Design
Not on the map. Why?
Abstract (arXiv)
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.
Key facts. Cited by 6 papers in the map (data through 7 Oct 2026). Builds on 13 of its 62 references that are in the map. First posted on arXiv 22 Jul 2021.
Builds on
13 of 62 references.
References · 13
- 2016Concrete Problems in AI Safetycited by 1,582
- 2016Cooperative Inverse Reinforcement Learningcited by 298
- 2017Preferential Bayesian Optimizationcited by 72
- 2015Shared Autonomy via Hindsight Optimizationcited by 46
- 2017Occam's razor is insufficient to infer the preferences of irrational agentscited by 44
- 2018Where Do You Think You're Going?: Inferring Beliefs about Dynamics from Behaviorcited by 40
- 2020Sequential Gallery for Interactive Visual Design Optimizationcited by 24
- 2020Projective Preferential Bayesian Optimizationcited by 21
- 2020Generalized Hidden Parameter MDPs Transferable Model-based RL in a Handful of Trialscited by 20
- 2021Data-Driven Design-by-Analogy: State of the Art and Future Directionscited by 18
- 2020GRIDS: Interactive Layout Design with Integer Programmingcited by 9
- 2019Learning to design from humans: Imitating human designers through deep learningcited by 8
1 more
Built on by
Citing papers per year: 2023: 3; 2024: 1; 2025: 0; 2026: 2.
6 papers.
- 2024Problem Solving Through Human-AI Preference-Based Cooperationcited by 11
- 2023AI for Science: An Emerging Agendacited by 5
- 2023MenuCraft: Interactive Menu System Design with Large Language Modelscited by 4
- 2023User-Centered Design (IX): A "User Experience 3.0" Paradigm Framework in the Intelligence Eracited by 0
- 2026The Boundaries of Automation: A Theory of Persistent Human Participationcited by 0
- 2026TailorCoPilot: Enabling Agentic Pattern Making with Version-Controlled State Trackingcited by 0
- 2026TailorCoPilot: Enabling Agentic Pattern Making with Version-Controlled State Tracking26 Aug 2026
- 2026The Boundaries of Automation: A Theory of Persistent Human Participation23 Jul 2026
- 2024Problem Solving Through Human-AI Preference-Based Cooperation14 Aug 2024
- 2023MenuCraft: Interactive Menu System Design with Large Language Models8 Mar 2023
- 2023AI for Science: An Emerging Agenda7 Mar 2023
- 2023User-Centered Design (IX): A "User Experience 3.0" Paradigm Framework in the Intelligence Era13 Feb 2023