参数化设计中认知复杂性的测量

IF 1.2 Q4 ENGINEERING, MANUFACTURING

International Journal of Design Creativity and Innovation Pub Date : 2018-12-25 DOI:10.1080/21650349.2018.1555492

Ju Hyun Lee, Michael J. Ostwald

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引用次数: 10

摘要

认知复杂性是一个心理学概念，用于分析解决问题、活动优先级、信息聚类和抽象的不同方法。本文开发了一种利用协议分析和链接术来测量参数设计过程的认知复杂性的组合方法。该方法在参数建模环境中使用来自两个实验的试点数据进行了选择性应用和测试。结果表明：（i）设计认知水平可以解释个体的认知复杂性；（ii）随着时间的推移，顺序熵可以被视为复杂性的定量度量。链接图的十进制增长图用于揭示设计过程中的个体认知差异。这种方法有助于提高设计认知和复杂性的基础知识。

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Measuring cognitive complexity in parametric design

ABSTRACT Cognitive complexity is a psychological concept that is used to analyse different approaches to problem solving, activity prioritising, information clustering and abstraction. This paper develops a combined approach utilising protocol analysis and linkography to measure the cognitive complexity of parametric design processes. The approach is selectively applied and tested using pilot data from two experiments in parametric modelling environments. The results indicate that: (i) levels of design cognition can explain individual cognitive complexity and (ii) sequential entropies over time can be regarded as quantitative measures of complexity. Decile growth plots of linkographs are used to reveal individual cognitive differences in the design process. This approach contributes to advancing fundamental knowledge about design cognition and complexity.

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来源期刊

International Journal of Design Creativity and Innovation ENGINEERING, MANUFACTURING-

CiteScore

3.80

自引率

27.80%

发文量

期刊介绍： The International Journal of Design Creativity and Innovation is an international publication that provides a forum for discussing the nature and potential of creativity and innovation in design from both theoretical and practical perspectives. Design creativity and innovation is truly an interdisciplinary academic research field that will interest and stimulate researchers of engineering design, industrial design, architecture, art, and similar areas. The journal aims to not only promote existing research disciplines but also pioneer a new one that lies in the intermediate area between the domains of systems engineering, information technology, computer science, social science, artificial intelligence, cognitive science, psychology, philosophy, linguistics, and related fields. The journal covers, but is not restricted to, the following topics: ·Theories on Design Creativity and Innovation ·Cognition of Design Creativity ·Innovative Process ·Inventive Process ·Analogical Reasoning for Design Creativity and Innovation ·Design Synthesis ·Method and Tools for Design Creativity and Innovation ·Representation of Design Creativity and Innovation ·Education for Design Creativity and Innovation ·Concept Generation and Inspiration.