A framework of artificial intelligence augmented design support.
Published in Human-Computer Interaction, 2020
Citation: Jing Liao, Preben Hansen & Chunlei Chai (2020). "A framework of artificial intelligence augmented design support." Human–Computer Interaction. 35(5-6).
This paper propose a new framework of computational support for design activities.
Abstract
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.