Toward AI Assistants That Let Designers Design

Sebastiaan De Peuter; Antti Oulasvirta; Samuel Kaski

Toward AI Assistants That Let Designers Design

Sebastiaan De Peuter, Antti Oulasvirta, Samuel Kaski

Research output: Contribution to journal › Article › Scientific

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.

Original language	English
Journal	arXiv.org
Publication status	Submitted - 2022
MoE publication type	B1 Article in a scientific magazine

Access to Document

https://arxiv.org/abs/2107.13074Licence: CC BY

Bridging the Reality Gap in Autonomous Learning
Kaski, S.
01/01/2020 → 31/12/2022
Project: Academy of Finland: Other research funding
Interactive machine learning from multiple biodata sources
Kaski, S.
01/01/2019 → 31/08/2021
Project: Academy of Finland: Other research funding
Interactive machine learning from multiple biodata sources
Kaski, S.
01/01/2016 → 31/08/2021
Project: Academy of Finland: Other research funding

Science-IT
Mikko Hakala (Manager)
School of Science
Facility/equipment: Facility

Cite this

@article{5bb66be3f0754e75a40705126cb1ce02,

title = "Toward AI Assistants That Let Designers 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.",

author = "{De Peuter}, Sebastiaan and Antti Oulasvirta and Samuel Kaski",

year = "2022",

language = "English",

journal = "arXiv.org",

issn = "2331-8422",

publisher = "Cornell University",

}

TY - JOUR

T1 - Toward AI Assistants That Let Designers Design

AU - De Peuter, Sebastiaan

AU - Oulasvirta, Antti

AU - Kaski, Samuel

PY - 2022

Y1 - 2022

N2 - 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.

AB - 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.

M3 - Article

JO - arXiv.org

JF - arXiv.org

SN - 2331-8422

ER -

Toward AI Assistants That Let Designers Design

Abstract

Access to Document

Projects

Bridging the Reality Gap in Autonomous Learning

Interactive machine learning from multiple biodata sources

Interactive machine learning from multiple biodata sources

Equipment

Science-IT

Cite this