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Title
Japanese:Visualization and inquiry into mental content in design activity: a case study of design interpretation 
English:Visualization and inquiry into mental content in design activity: a case study of design interpretation 
Author
Japanese: KAHLON YUVAL, 藤井 晴行.  
English: Yuval Kahlon, Haruyuki Fujii.  
Language English 
Journal/Book name
Japanese:Artificial Intelligence for Engineering Design, Analysis and Manufacturing 
English:Artificial Intelligence for Engineering Design, Analysis and Manufacturing 
Volume, Number, Page Vol. 26       
Published date Feb. 9, 2022 
Publisher
Japanese: 
English:Cambridge University Press 
Conference name
Japanese: 
English: 
Conference site
Japanese: 
English: 
Official URL https://www.cambridge.org/core/journals/ai-edam/article/visualization-and-inquiry-into-mental-content-in-design-activity-a-case-study-of-design-interpretation/BACE2D1E3FDDD30FC2A388860D5D26EA
 
DOI https://doi.org/10.1017/S0890060421000172
Abstract The study of interpretation is of major importance for our understanding of design cognition. When interacting with design representations, designers often rely on metaphorical descriptions as interpretive devices, which aid in coping with the task at hand. Consequently, such descriptions can enlighten us regarding the designer's perspective of the situation, and their analysis can deepen our knowledge of design cognition. We observe designers as they metaphorically interpret design representations during a simple task of spatial configuration, and introduce an approach for modeling this practice, as a means for getting insights into the designer's mental world. In this, we draw on traditional practices of protocol analysis, as well as on state-of-the-art theoretical frameworks for situated design and discourse analysis. Our integrated approach demonstrates how important relations between external and internal reality in design activity can be mapped and visualized. This sheds some light on the cognitive process of interpretation in design. The proposed method can both serve as a basis for detailed analyses of design cognition and for the enhancement of current models for situated design agents.

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