Toward AI assistants that let designers design

Sebastiaan De Peuter; Antti Oulasvirta; Samuel Kaski

doi:10.1002/aaai.12077

Toward AI assistants that let designers design

University of Manchester

Research output: Contribution to journal › Article › Scientific › peer-review

25 Citations (Scopus)

263 Downloads (Pure)

Abstract

We need to rethink how we assist designers with artificial intelligence (AI). AI should aim to cooperate, not automate, by supporting and leveraging the creativity and problem-solving capabilities of designers. The challenge for such AI is how to infer designers' goals and then help them without being needlessly disruptive. We introduce AI-assisted design, a new framework for creating such AI, built around generative user models, which allow it to infer and adapt to designers' goals, reasoning, and capabilities.

Original language	English
Pages (from-to)	85-96
Number of pages	12
Journal	AI Magazine
Volume	44
Issue number	1
DOIs	https://doi.org/10.1002/aaai.12077
Publication status	Published - Mar 2023
MoE publication type	A1 Journal article-refereed

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10.1002/aaai.12077Licence: CC BY

Toward AI assistants that let designers designFinal published version, 564 KBLicence: CC BY

Cite this

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Toward AI assistants that let designers design

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Interactive machine learning from multiple biodata sources

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Toward AI assistants that let designers design

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-: Bridging the Reality Gap in Autonomous Learning

Interactive machine learning from multiple biodata sources

Interactive machine learning from multiple biodata sources

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Science-IT

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