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Toward the Rapid Design of Engineered Systems Through Deep Neural Networks Read chapter Read first chapter

2019 | OriginalPaper | Chapter

Cognitive Style and Field Knowledge in Complex Design Problem-Solving: A Comparative Case Study of Decision Support Systems

Authors : Yuan Ling Zi Shi, Hyunseung Bang, Guy Hoffman, Daniel Selva, So-Yeon Yoon

Published in: Design Computing and Cognition '18

Publisher: Springer International Publishing

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Abstract

Cognitive differences between how people perceive and process information have been broadly studied in the fields of education and psychology. Previous findings show that comprehension is optimized when information presentation aligns with the cognitive abilities and preferences of an individual. On the other hand, the possession of field knowledge has also been studied to influence learning outcome and perception. This paper aims to understand the effects of individual’s information processing styles and field knowledge on design decision-making, specifically focusing on designer learning and user experience. Two distinct decision support systems interfaces were developed to better examine the effect using a mixed model design. A total of 48 college students participated in the experimental study and interacted with the two different interfaces of a satellite design system in a randomized order. Analysis results show significant impacts of field knowledge and visual processing style on both learning and user experience. Potential interaction effects with the design support system interface type and cognitive styles were also observed.

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previous chapter Building a Social-Cognitive Framework for Design: Personality and Design Self-efficacy Effects on Pro-design Behaviors
next chapter What Do Experienced Practitioners Discuss When Designing Product/Service Systems?
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Metadata
Title
Cognitive Style and Field Knowledge in Complex Design Problem-Solving: A Comparative Case Study of Decision Support Systems
Authors
Yuan Ling Zi Shi
Hyunseung Bang
Guy Hoffman
Daniel Selva
So-Yeon Yoon
Copyright Year
2019
Book
Design Computing and Cognition '18

Print ISBN: 978-3-030-05362-8

Electronic ISBN: 978-3-030-05363-5

Copyright Year: 2019

DOI
https://doi.org/10.1007/978-3-030-05363-5_19

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