Understanding Analogical Reasoning in Biomimetic Design: An Inductive Approach

Cheong, Hyunmin; Hallihan, Gregory M.; Shu, L. H.

doi:10.1007/978-94-017-9112-0_2

Cited by 19 publications

(24 citation statements)

References 42 publications

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“…This desire is one reason why individuals rely on cognitive heuristics, even when they have an incentive not to (Gilovich et al, 2002). It is worth noting that design researchers have found evidence suggesting designers are also motivated to conserve cognitive effort (Guindon, 1990;Cheong et al, 2012). Therefore, we believe that designers may unconsciously rely on cognitive heuristics, to minimize cognitive effort, even when they are highly invested in the design task.…”

Section: Using Cognitive Heuristics In Designmentioning

confidence: 91%

“…A previous experiment by Cheong et al (2012) collected design protocols from 30 engineering students, engaged in a biomimetic design practical session as part of a 4 th -year mechanical design course. The students were split into 9 groups of 3 or 4 to work on a biomimetic design problem for 20 minutes.…”

Section: Methods and Proceduresmentioning

confidence: 99%

“…The students' dialogues were recorded and transcribed in 9 design protocols. For a full description of the methodology see Cheong et al (2012). For the purpose of this study, these protocols were qualitatively analyzed to evaluate whether or not designers exhibit a confirmatory bias during concept generation.…”

Section: Methods and Proceduresmentioning

confidence: 99%

“…Two studies are then presented that were performed to examine confirmation bias in design. The first study analyzed verbal protocols, collected from engineering students engaged in a biomimetic design practical session described by Cheong et al (2012), to determine if confirmation bias was present during concept generation. The second study examined the effectiveness of decision matrices as tools to mitigate confirmation bias during concept evaluation.…”

Section: Introductionmentioning

confidence: 99%

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Confirmation and Cognitive Bias in Design Cognition

Hallihan

Cheong

Shu

2012

Volume 7: 9th International Conference on Design Education; 24th International Conference on Design Theory and Methodology

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The desire to better understand design cognition has led to the application of literature from psychology to design research, e.g., in learning, analogical reasoning, and problem solving. Psychological research on cognitive heuristics and biases offers another relevant body of knowledge for application. Cognitive biases are inherent biases in human information processing, which can lead to suboptimal reasoning. Cognitive heuristics are unconscious rules utilized to enhance the efficiency of information processing and are possible antecedents of cognitive biases. This paper presents two studies that examined the role of confirmation bias, which is a tendency to seek and interpret evidence in order to confirm existing beliefs. The results of the first study, a protocol analysis involving novice designers engaged in a biomimetic design task, indicate that confirmation bias is present during concept generation and offer additional insights into the influence of confirmation bias in design. The results of the second study, a controlled experiment requiring participants to complete a concept evaluation task, suggest that decision matrices are effective tools to reduce confirmation bias during concept evaluation.

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Section: Using Cognitive Heuristics In Designmentioning

confidence: 91%

Section: Methods and Proceduresmentioning

confidence: 99%

Section: Methods and Proceduresmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Confirmation and Cognitive Bias in Design Cognition

Hallihan

Cheong

Shu

2012

Volume 7: 9th International Conference on Design Education; 24th International Conference on Design Theory and Methodology

Self Cite

View full text Add to dashboard Cite

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“…This has already been proposed, 83 and several works have focused on various aspects (e.g. Helfman et al, 74 Cheong et al, 84 Hoeller et al, 85 Yen and Weissburg…”

Section: Application To Biomimetic Approaches (N = 43)mentioning

confidence: 97%

Biomimetics and its tools

Wanieck

Fayemi

Maranzana

et al. 2017

Bioinspired, Biomimetic and Nanobiomaterials

105

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Biomimetics, as the transfer of strategies from biology to technology, is an emerging research area and has led to significant concepts over the past decades. The development of such concepts is described by the process of biomimetics, encompassing several steps. In Practice, beneficiaries of the process face challenges. Therefore, to overcome challenges and to facilitate the steps, tools have been developed in various areas, such as engineering, computing and design. However, these tools are not widely used yet. This paper presents an overview and a classification study of more than 40 tools with qualitative criteria. The criteria included, for example, the year of development, the accessibility of tools, the facilitated steps of the process or their contribution to sustainability. The classification shows that certain steps of the process and their challenges are well addressed by the tools, while other steps are not. The presented results contribute to the proposal of an improvement of the state of the art, and they build the foundation for future theoretical and practical analyses. These findings could contribute to increasing the implementation of biomimetics in various disciplines in the long term.

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Biomimetics: teaching the tools of the trade

et al. 2020

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Effective teaching requires an understanding of the student learning context. These ‘personas’ can then be matched with appropriate learning outcomes to design meaningful experiences that will support the student in applying their new skills. Here, we analyze the personas engaged in biologically inspired design (BID) and the associated learning outcomes. Recommendations for teaching BID are included.

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Understanding Analogical Reasoning in Biomimetic Design: An Inductive Approach

Cited by 19 publications

References 42 publications

Confirmation and Cognitive Bias in Design Cognition

Confirmation and Cognitive Bias in Design Cognition

Biomimetics and its tools

Biomimetics: teaching the tools of the trade

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