IDEAS home Printed from https://ideas.repec.org/a/spr/joinma/v28y2017i7d10.1007_s10845-016-1211-4.html
   My bibliography  Save this article

Cognitive shape similarity assessment for 3D part search

Author

Listed:
  • Chih-Hsing Chu

    (National Tsing Hua University)

  • Cheng-Hung Lo

    (Xi’an Jiaotong-Liverpool University)

  • Han-Chung Cheng

    (National Tsing Hua University)

Abstract

Mass customization aims to satisfy diverse customer requirements with high product variety while maintaining reasonable manufacturing cost and lead time. Allowing customers to perceive product differentiation is a critical factor for most design methods developed for mass customization. This study examines 3D part search from the human cognitive perspective. We designed and conducted a quasi-factorial experiment to understand how structured variations of four factors—the shape, type, dimension, and location of the feature volume of a part model—affect human judgment of part similarity. The corresponding factorial similarity values were computed with different shape signatures in the form of the feature adjacency graph. The human responses were obtained by paired comparisons of test parts, and quantified as the cognitive similarity. Statistical analysis of the experimental results showed that the type and shape factors played an important role in the subjects’ judgments. Back-propagation neural networks were trained to model the correlations between the cognitive and the factorial similarity values. The performance of the networks validates our idea of incorporating human cognition into assessment of 3D part similarity. This study presents a systematic approach for personalized part search that reflects individual perception of shape similarity.

Suggested Citation

  • Chih-Hsing Chu & Cheng-Hung Lo & Han-Chung Cheng, 2017. "Cognitive shape similarity assessment for 3D part search," Journal of Intelligent Manufacturing, Springer, vol. 28(7), pages 1679-1694, October.
    • Handle: RePEc:spr:joinma:v:28:y:2017:i:7:d:10.1007_s10845-016-1211-4
    DOI: 10.1007/s10845-016-1211-4
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10845-016-1211-4
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s10845-016-1211-4?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Lefkoff-Hagius, Roxanne & Mason, Charlotte H, 1993. "Characteristic, Beneficial, and Image Attributes in Consumer Judgments of Similarity and Preference," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 20(1), pages 100-110, June.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Maddalena Honorati & Sara Johansson de Silva & Natalia Millan & Florentin Kerschbaumer, 2019. "Work for a Better Future in Armenia," World Bank Publications - Reports 34412, The World Bank Group.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Zhiyi Wang & Lusi Yang & Jungpil Hahn, 2023. "Winner Takes All? The Blockbuster Effect on Crowdfunding Platforms," Information Systems Research, INFORMS, vol. 34(3), pages 935-960, September.
    2. Breivik, Einar & Supphellen, Magne, 2003. "Elicitation of product attributes in an evaluation context: A comparison of three elicitation techniques," Journal of Economic Psychology, Elsevier, vol. 24(1), pages 77-98, February.
    3. Douglas Bryson & Glyn Atwal & Peter Hultén & Klaus Heine, 2021. "Antecedents of Luxury Brand Hate : A Quantitative Study," Post-Print hal-03188197, HAL.
    4. Verlegh, Peeter W. J. & Steenkamp, Jan-Benedict E. M., 1999. "A review and meta-analysis of country-of-origin research," Journal of Economic Psychology, Elsevier, vol. 20(5), pages 521-546, October.
    5. Correia, Antónia & Kozak, Metin, 2016. "Tourists' shopping experiences at street markets: Cross-country research," Tourism Management, Elsevier, vol. 56(C), pages 85-95.
    6. Zeugner-Roth, Katharina Petra & Žabkar, Vesna, 2015. "Bridging the gap between country and destination image: Assessing common facets and their predictive validity," Journal of Business Research, Elsevier, vol. 68(9), pages 1844-1853.
    7. Anne Bowers, 2015. "Relative Comparison and Category Membership: The Case of Equity Analysts," Organization Science, INFORMS, vol. 26(2), pages 571-583, April.
    8. Cristina Marreiros & Mitchell Ness, 2009. "A Conceptual Framework of Consumer Food Choice Behaviour," CEFAGE-UE Working Papers 2009_06, University of Evora, CEFAGE-UE (Portugal).
    9. Snelders, Dirk & Schoormans, Jan P. L., 2004. "An exploratory study of the relation between concrete and abstract product attributes," Journal of Economic Psychology, Elsevier, vol. 25(6), pages 803-820, December.
    10. Gerke, Anna & Chanavat, Nicolas & Benson-Rea, Maureen, 2014. "How can Country-of-Origin image be leveraged to create global sporting goods brands?," Sport Management Review, Elsevier, vol. 17(2), pages 174-189.
    11. Yili Hong & Paul A. Pavlou, 2017. "On Buyer Selection of Service Providers in Online Outsourcing Platforms for IT Services," Information Systems Research, INFORMS, vol. 28(3), pages 547-562, September.
    12. Wang, Li & Jin, Manhui & Yang, Zhiyong, 2020. "Regulatory focus and consumption of counterfeit luxury goods: Roles of functional theories of attitudes and perceived similarity," Journal of Business Research, Elsevier, vol. 107(C), pages 50-61.
    13. Hong Jun Huang & Jun Yang & Benrong Zheng, 2021. "Demand effects of product similarity network in e-commerce platform," Electronic Commerce Research, Springer, vol. 21(2), pages 297-327, June.
    14. Hans H. Bauer & Maik Hammerschmidt & Matthias Staat, 2004. "Analyzing Product Efficiency – A Customer-Oriented Approach," Microeconomics 0402008, University Library of Munich, Germany.
    15. Jelnov, Pavel, 2019. "Comparison Dimensions and Similarity: Addressing Individual Heterogeneity," IZA Discussion Papers 12355, Institute of Labor Economics (IZA).
    16. Homer, Pamela Miles, 2008. "Perceived quality and image: When all is not "rosy"," Journal of Business Research, Elsevier, vol. 61(7), pages 715-723, July.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:joinma:v:28:y:2017:i:7:d:10.1007_s10845-016-1211-4. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.