• DocumentCode
    3318522
  • Title

    Studies on the design model and method of product identity based on image cognition

  • Author

    Zhang, Linghao ; Ni, Ming

  • Author_Institution
    Sch. of Design, Jiangnan Univ., Wuxi, China
  • fYear
    2009
  • fDate
    8-11 Aug. 2009
  • Firstpage
    383
  • Lastpage
    387
  • Abstract
    The product identity is an important topic in modern design. However very little research on the cognition of product identity based on consumers´ image and design model has been reported. This article has proposed the cognition concept of the product identity image, and analyzed the main method based on the image cognition. According to the features of the product identity, this study has employed some quantitative relation experiments such as semantic differential (SD), eye track observing, and qualitative analysis methods such as oral description, metaphor analysis, extracted the key features which affect the image identification and image cognition, and formed the feature database and the rule database of the image inferences. Taking this as the foundation, the study has established the prototype design model of the product identity from the input to the output, carried out the dual appraisals and the revision to the inference results using the identification model and the consumer model in the later period, and ensured the correct output.
  • Keywords
    advertising data processing; consumer behaviour; feature extraction; product design; consumer model; design model; eye track observation; feature database; feature extraction; identification model; image cognition; image identification; image inference; metaphor analysis; oral description; product identity image; qualitative analysis method; rule database; semantic differential; Cognition; Computer simulation; Design engineering; Design methodology; Electronic mail; Feature extraction; Image analysis; Image databases; Psychology; Spatial databases;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science and Information Technology, 2009. ICCSIT 2009. 2nd IEEE International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-4519-6
  • Electronic_ISBN
    978-1-4244-4520-2
  • Type

    conf

  • DOI
    10.1109/ICCSIT.2009.5234923
  • Filename
    5234923