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    Effects of Abstraction on Selecting Relevant Biological Phenomena for Biomimetic Design

    Source: Journal of Mechanical Design:;2014:;volume( 136 ):;issue: 011::page 111111
    Author:
    Feng, Tao
    ,
    Cheong, Hyunmin
    ,
    Shu, L. H.
    DOI: 10.1115/1.4028173
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: The naturallanguage approach to identifying biological analogies exploits the existing format of much biological knowledge, beyond databases created for biomimetic design. However, designers may need to select analogies from search results, during which biases may exist toward: specific words in descriptions of biological phenomena, familiar organisms and scales, and strategies that match preconceived solutions. Therefore, we conducted two experiments to study the effect of abstraction on overcoming these biases and selecting biological phenomena based on analogical similarities. Abstraction in our experiments involved replacing biological nouns with hypernyms. The first experiment asked novice designers to choose between a phenomenon suggesting a highly useful strategy for solving a given problem, and another suggesting a lessuseful strategy, but featuring bias elements. The second experiment asked novice designers to evaluate the relevance of two biological phenomena that suggest similarly useful strategies to solve a given problem. Neither experiment demonstrated the anticipated benefits of abstraction. Instead, our abstraction led to: (1) participants associating nonabstracted words to design problems and (2) increased difficulty in understanding descriptions of biological phenomena. We recommend investigating other ways to implement abstraction when developing similar tools or techniques that aim to support biomimetic design.
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      Effects of Abstraction on Selecting Relevant Biological Phenomena for Biomimetic Design

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    contributor authorFeng, Tao
    contributor authorCheong, Hyunmin
    contributor authorShu, L. H.
    date accessioned2017-05-09T01:10:47Z
    date available2017-05-09T01:10:47Z
    date issued2014
    identifier issn1050-0472
    identifier othermd_136_11_111111.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/155719
    description abstractThe naturallanguage approach to identifying biological analogies exploits the existing format of much biological knowledge, beyond databases created for biomimetic design. However, designers may need to select analogies from search results, during which biases may exist toward: specific words in descriptions of biological phenomena, familiar organisms and scales, and strategies that match preconceived solutions. Therefore, we conducted two experiments to study the effect of abstraction on overcoming these biases and selecting biological phenomena based on analogical similarities. Abstraction in our experiments involved replacing biological nouns with hypernyms. The first experiment asked novice designers to choose between a phenomenon suggesting a highly useful strategy for solving a given problem, and another suggesting a lessuseful strategy, but featuring bias elements. The second experiment asked novice designers to evaluate the relevance of two biological phenomena that suggest similarly useful strategies to solve a given problem. Neither experiment demonstrated the anticipated benefits of abstraction. Instead, our abstraction led to: (1) participants associating nonabstracted words to design problems and (2) increased difficulty in understanding descriptions of biological phenomena. We recommend investigating other ways to implement abstraction when developing similar tools or techniques that aim to support biomimetic design.
    publisherThe American Society of Mechanical Engineers (ASME)
    titleEffects of Abstraction on Selecting Relevant Biological Phenomena for Biomimetic Design
    typeJournal Paper
    journal volume136
    journal issue11
    journal titleJournal of Mechanical Design
    identifier doi10.1115/1.4028173
    journal fristpage111111
    journal lastpage111111
    identifier eissn1528-9001
    treeJournal of Mechanical Design:;2014:;volume( 136 ):;issue: 011
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
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