Analysis of problem decomposition strategies of novice industrial designers using network-based cognitive maps.
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| Title: | Analysis of problem decomposition strategies of novice industrial designers using network-based cognitive maps. |
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| Authors: | Zhou, Chuyi1,2, Chai, Chunlei1 dishengchai@126.com, Liao, Jing1 |
| Source: | International Journal of Technology & Design Education. Apr2022, Vol. 32 Issue 2, p1293-1315. 23p. |
| Subjects: | Industrial design, Cognitive processing of language, Cognitive maps (Psychology), Problem solving, Fluency (Language learning) |
| Abstract: | There is limited information about the design process and outcomes of novice industrial designers when working with different levels of problem abstraction. In this paper, we propose a new way of describing the cognitive processes of problem solving based on problem decomposition strategy studies and network-based cognitive maps. An empirical study was conducted to examine the impact of problem abstraction on novice designers, and their reasoning mode was quantitatively explored. Thirty-three novice designers majoring in industrial design participated in a 40-min design exercise and verbalized their cognitive process while they were solving a given design problem. The verbal protocols from the experiment were first segmented, then encoded based on cognitive maps. By analyzing the problem-solving process using this new method, we found that designers use different reasoning modes for different levels of problem abstraction. Abstract problems helped designers to break design fixation and promote the divergence of ideas. Ideas also improved in fluency, originality and novelty so that the abstract group generated better solutions. The study contributes to an enhanced understanding of design activity. [ABSTRACT FROM AUTHOR] |
| Copyright of International Journal of Technology & Design Education is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
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| Header | DbId: egs DbLabel: Engineering Source An: 156025313 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Analysis of problem decomposition strategies of novice industrial designers using network-based cognitive maps. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Zhou%2C+Chuyi%22">Zhou, Chuyi</searchLink><relatesTo>1,2</relatesTo><br /><searchLink fieldCode="AR" term="%22Chai%2C+Chunlei%22">Chai, Chunlei</searchLink><relatesTo>1</relatesTo><i> dishengchai@126.com</i><br /><searchLink fieldCode="AR" term="%22Liao%2C+Jing%22">Liao, Jing</searchLink><relatesTo>1</relatesTo> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Technology+%26+Design+Education%22">International Journal of Technology & Design Education</searchLink>. Apr2022, Vol. 32 Issue 2, p1293-1315. 23p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Industrial+design%22">Industrial design</searchLink><br /><searchLink fieldCode="DE" term="%22Cognitive+processing+of+language%22">Cognitive processing of language</searchLink><br /><searchLink fieldCode="DE" term="%22Cognitive+maps+%28Psychology%29%22">Cognitive maps (Psychology)</searchLink><br /><searchLink fieldCode="DE" term="%22Problem+solving%22">Problem solving</searchLink><br /><searchLink fieldCode="DE" term="%22Fluency+%28Language+learning%29%22">Fluency (Language learning)</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: There is limited information about the design process and outcomes of novice industrial designers when working with different levels of problem abstraction. In this paper, we propose a new way of describing the cognitive processes of problem solving based on problem decomposition strategy studies and network-based cognitive maps. An empirical study was conducted to examine the impact of problem abstraction on novice designers, and their reasoning mode was quantitatively explored. Thirty-three novice designers majoring in industrial design participated in a 40-min design exercise and verbalized their cognitive process while they were solving a given design problem. The verbal protocols from the experiment were first segmented, then encoded based on cognitive maps. By analyzing the problem-solving process using this new method, we found that designers use different reasoning modes for different levels of problem abstraction. Abstract problems helped designers to break design fixation and promote the divergence of ideas. Ideas also improved in fluency, originality and novelty so that the abstract group generated better solutions. The study contributes to an enhanced understanding of design activity. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of International Journal of Technology & Design Education is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s10798-020-09647-1 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 23 StartPage: 1293 Subjects: – SubjectFull: Industrial design Type: general – SubjectFull: Cognitive processing of language Type: general – SubjectFull: Cognitive maps (Psychology) Type: general – SubjectFull: Problem solving Type: general – SubjectFull: Fluency (Language learning) Type: general Titles: – TitleFull: Analysis of problem decomposition strategies of novice industrial designers using network-based cognitive maps. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Zhou, Chuyi – PersonEntity: Name: NameFull: Chai, Chunlei – PersonEntity: Name: NameFull: Liao, Jing IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 04 Text: Apr2022 Type: published Y: 2022 Identifiers: – Type: issn-print Value: 09577572 Numbering: – Type: volume Value: 32 – Type: issue Value: 2 Titles: – TitleFull: International Journal of Technology & Design Education Type: main |
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