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A framework of artificial intelligence augmented design support
Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
Number of Authors: 32020 (English)In: Human-Computer Interaction, ISSN 0737-0024, E-ISSN 1532-7051, Vol. 35, no 5-6, p. 511-544Article in journal (Refereed) Published
Abstract [en]

Recent advances in Artificial Intelligence raise interest in its participation in design activity, which is commonly considered to be complex and human-dominated. In this work, we aim to examine AI roles in early design stages. The human ideation components and design tools related to AI are discussed in a framework of AI-augmented design support. The framework develops a hierarchy of design cognition (basis), approaches and principles. The cognitive models are constructed in an empirical study of 30 designers (26 for analysis, 4 for pilot study) by concurrent Think-Aloud protocol and behavior analysis. The process of producing new design ideas is explained by a transparent analysis of designers' language and behaviors. Three strategies to organize cognitive activities in design ideation are summarized: develop structured consideration, relate to a scenario, and stick-to designing. These strategies suggest AI could act as (1) representation creation, (2) empathy trigger and (3) engagement, in principles of knowledge-driven and decompose-and-integrate. The design support with AI provides new perspectives on computer-based design tools that limit to well-defined design variables. The framework is built on a generic notion of design activity and mimic human design rationales, expected to benefit research of domain-independent computational design supports and cognitive supports.

Place, publisher, year, edition, pages
2020. Vol. 35, no 5-6, p. 511-544
Keywords [en]
Human computer interaction theory, design supports, artificial intelligence
National Category
Computer and Information Sciences
Identifiers
URN: urn:nbn:se:su:diva-183100DOI: 10.1080/07370024.2020.1733576ISI: 000532117600001OAI: oai:DiVA.org:su-183100DiVA, id: diva2:1452976
Available from: 2020-07-08 Created: 2020-07-08 Last updated: 2022-02-26Bibliographically approved

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Hansen, Preben

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