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Behavior-Based Design Fixation Automated Detection for Novice Designers to Facilitate Creative Design Processes.

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Title: Behavior-Based Design Fixation Automated Detection for Novice Designers to Facilitate Creative Design Processes.
Authors: Jia, Miao1 jiamiao@sjtu.edu.cn, Zhao, Qianyou1 1025034345@sjtu.edu.cn, Jia, Qinghan2 213203176@seu.edu.cn, Chen, Bin1 cb5183298@sjtu.edu.cn, Hu, Jie3 hujie@sjtu.edu.cn, Qi, Jin1 jinhuaqj@sjtu.edu.cn
Source: Journal of Mechanical Design. Mar2026, Vol. 148 Issue 3, p1-12. 12p.
Subjects: Behavioral assessment, Design students, Cognitive bias, Novelty (Perception), Detection algorithms, Conceptual design, Engineering design
Abstract: Design fixation usually leads designers to unconsciously copy features of previous solutions directly into later solutions. This limits the innovation of the solution and leads to low-quality design results. Currently, fixation evaluation methods mainly rely on manual evaluation, which is unable to remind designers of fixation occurrences in a timely manner during the design process. To address the aforementioned issues, this study proposes a framework for a behavioral fixation automatic identification system (BF-AIS). This system consists of two modules: fixation identification and fixation judgment. Additionally, we established mathematical models to calculate the behavior-fixation mapping relationship for the first time. Finally, an experimental evaluation involving 30 industrial design students was conducted. The results showed that the whole level of novice designers' fixation reduced by 54.4% and the quality of the solutions increased by 39.9% after using the system. After the fixation reminder was issued, the probability of the next solution continuing to solve the fixation was reduced by 93%. The design fixation computational framework proposed in this study achieves the transformation of design fixation judgment from traditional manual evaluation to automatic identification, which helps novice designers generate creative design results. [ABSTRACT FROM AUTHOR]
Copyright of Journal of Mechanical Design is the property of American Society of Mechanical Engineers 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: 192337301
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
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  Label: Title
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  Data: Behavior-Based Design Fixation Automated Detection for Novice Designers to Facilitate Creative Design Processes.
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  Data: <searchLink fieldCode="AR" term="%22Jia%2C+Miao%22">Jia, Miao</searchLink><relatesTo>1</relatesTo><i> jiamiao@sjtu.edu.cn</i><br /><searchLink fieldCode="AR" term="%22Zhao%2C+Qianyou%22">Zhao, Qianyou</searchLink><relatesTo>1</relatesTo><i> 1025034345@sjtu.edu.cn</i><br /><searchLink fieldCode="AR" term="%22Jia%2C+Qinghan%22">Jia, Qinghan</searchLink><relatesTo>2</relatesTo><i> 213203176@seu.edu.cn</i><br /><searchLink fieldCode="AR" term="%22Chen%2C+Bin%22">Chen, Bin</searchLink><relatesTo>1</relatesTo><i> cb5183298@sjtu.edu.cn</i><br /><searchLink fieldCode="AR" term="%22Hu%2C+Jie%22">Hu, Jie</searchLink><relatesTo>3</relatesTo><i> hujie@sjtu.edu.cn</i><br /><searchLink fieldCode="AR" term="%22Qi%2C+Jin%22">Qi, Jin</searchLink><relatesTo>1</relatesTo><i> jinhuaqj@sjtu.edu.cn</i>
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+Mechanical+Design%22">Journal of Mechanical Design</searchLink>. Mar2026, Vol. 148 Issue 3, p1-12. 12p.
– Name: Subject
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  Data: <searchLink fieldCode="DE" term="%22Behavioral+assessment%22">Behavioral assessment</searchLink><br /><searchLink fieldCode="DE" term="%22Design+students%22">Design students</searchLink><br /><searchLink fieldCode="DE" term="%22Cognitive+bias%22">Cognitive bias</searchLink><br /><searchLink fieldCode="DE" term="%22Novelty+%28Perception%29%22">Novelty (Perception)</searchLink><br /><searchLink fieldCode="DE" term="%22Detection+algorithms%22">Detection algorithms</searchLink><br /><searchLink fieldCode="DE" term="%22Conceptual+design%22">Conceptual design</searchLink><br /><searchLink fieldCode="DE" term="%22Engineering+design%22">Engineering design</searchLink>
– Name: Abstract
  Label: Abstract
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  Data: Design fixation usually leads designers to unconsciously copy features of previous solutions directly into later solutions. This limits the innovation of the solution and leads to low-quality design results. Currently, fixation evaluation methods mainly rely on manual evaluation, which is unable to remind designers of fixation occurrences in a timely manner during the design process. To address the aforementioned issues, this study proposes a framework for a behavioral fixation automatic identification system (BF-AIS). This system consists of two modules: fixation identification and fixation judgment. Additionally, we established mathematical models to calculate the behavior-fixation mapping relationship for the first time. Finally, an experimental evaluation involving 30 industrial design students was conducted. The results showed that the whole level of novice designers' fixation reduced by 54.4% and the quality of the solutions increased by 39.9% after using the system. After the fixation reminder was issued, the probability of the next solution continuing to solve the fixation was reduced by 93%. The design fixation computational framework proposed in this study achieves the transformation of design fixation judgment from traditional manual evaluation to automatic identification, which helps novice designers generate creative design results. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Journal of Mechanical Design is the property of American Society of Mechanical Engineers 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:
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    Identifiers:
      – Type: doi
        Value: 10.1115/1.4069402
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      – Code: eng
        Text: English
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        PageCount: 12
        StartPage: 1
    Subjects:
      – SubjectFull: Behavioral assessment
        Type: general
      – SubjectFull: Design students
        Type: general
      – SubjectFull: Cognitive bias
        Type: general
      – SubjectFull: Novelty (Perception)
        Type: general
      – SubjectFull: Detection algorithms
        Type: general
      – SubjectFull: Conceptual design
        Type: general
      – SubjectFull: Engineering design
        Type: general
    Titles:
      – TitleFull: Behavior-Based Design Fixation Automated Detection for Novice Designers to Facilitate Creative Design Processes.
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          Name:
            NameFull: Jia, Miao
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            NameFull: Zhao, Qianyou
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            NameFull: Jia, Qinghan
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            NameFull: Chen, Bin
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            NameFull: Hu, Jie
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            NameFull: Qi, Jin
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            – D: 01
              M: 03
              Text: Mar2026
              Type: published
              Y: 2026
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              Value: 148
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            – TitleFull: Journal of Mechanical Design
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