Abstract

In design practice and education, emerging representations and tools, such as artificial intelligence (AI), are challenging the dominance of sketches as the primary creative medium. However, the role of these new representations in design disciplines and education remains ambiguous. To address this ambiguity, this paper proposes a "creative process as conversation" framework to understand representations and tools within the creative process. This framework decouples representational mediums from creative acts driven by subjective intent and knowledge source, revealing the cognitive functions of representations in ideation.. The conversational perspective clarifies AI's advantages: generating inspiring representations, accessing expansive knowledge resources, and integrating different subjectivity. By bridging traditional and new representations, this paper provides a framework to support positioning and ultilizing AI in design education.

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Creative Commons Attribution-NonCommercial 4.0 International License
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License

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Sep 22nd, 9:00 AM Sep 24th, 5:00 PM

Positioning Roles of AI Representations in Creative Conversation

In design practice and education, emerging representations and tools, such as artificial intelligence (AI), are challenging the dominance of sketches as the primary creative medium. However, the role of these new representations in design disciplines and education remains ambiguous. To address this ambiguity, this paper proposes a "creative process as conversation" framework to understand representations and tools within the creative process. This framework decouples representational mediums from creative acts driven by subjective intent and knowledge source, revealing the cognitive functions of representations in ideation.. The conversational perspective clarifies AI's advantages: generating inspiring representations, accessing expansive knowledge resources, and integrating different subjectivity. By bridging traditional and new representations, this paper provides a framework to support positioning and ultilizing AI in design education.

 

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