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
Link To Document