设计活动中心理内容的形象化与探究:以设计诠释为例

IF 1.7 3区 工程技术 Q3 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Yuval Kahlon, Haruyuki Fujii
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引用次数: 0

摘要

阐释的研究对于我们理解设计认知具有重要意义。当与设计表示进行交互时,设计师通常依赖于隐喻描述作为解释手段,这有助于处理手头的任务。因此,这样的描述可以启发我们从设计师的角度来看待情况,而对这些描述的分析可以加深我们对设计认知的认识。我们观察到设计师在一个简单的空间配置任务中隐喻性地解释设计表征,并介绍了一种建模这种实践的方法,作为深入了解设计师心理世界的一种手段。在这方面,我们借鉴了传统的协议分析实践,以及最先进的理论框架,用于情境设计和话语分析。我们的综合方法表明,在设计活动中,外部和内部现实之间的关系是多么重要,可以被映射和可视化。这对设计中解释的认知过程有一定的启发。所提出的方法既可以作为详细分析设计认知的基础,也可以增强现有的设计主体模型。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Visualization and inquiry into mental content in design activity: a case study of design interpretation
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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来源期刊
CiteScore
4.40
自引率
14.30%
发文量
27
审稿时长
>12 weeks
期刊介绍: The journal publishes original articles about significant AI theory and applications based on the most up-to-date research in all branches and phases of engineering. Suitable topics include: analysis and evaluation; selection; configuration and design; manufacturing and assembly; and concurrent engineering. Specifically, the journal is interested in the use of AI in planning, design, analysis, simulation, qualitative reasoning, spatial reasoning and graphics, manufacturing, assembly, process planning, scheduling, numerical analysis, optimization, distributed systems, multi-agent applications, cooperation, cognitive modeling, learning and creativity. AI EDAM is also interested in original, major applications of state-of-the-art knowledge-based techniques to important engineering problems.
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