Abstract
Perceptual engineering research has examined product contours as a crucial component of product design. The research, however, mostly focuses on the contours of particular products, and it is not yet obvious what the general relationship is between product contours and perceived product qualities. In order to create a three-level model of perceived product attributes, this paper classifies product qualities into categories based on Norman’s dimensions. The exterior contour of the mouse product is used as the research object, and web crawler technology is used to extract the impression keywords. After that, the eye-tracking method is employed to investigate how the product contours influence consumers’ eye movements in relation to certain impression keywords. The findings demonstrate how users’ particular perceptions of a particular product attribute can be improved by the matching product contour features. The study illustrates the connection between product contours and perceived product qualities, providing product designers with a reference point during the initial sketching stage.
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Acknowledgments
The authors extend their gratitude to the Zhejiang Sci-Tech University Laboratory for providing essential facilities for the eye-tracking experiments.
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Ding, H., Zhang, Z. (2023). Investigating the Impact of Product Contours on User Perception of Product Attributes. In: Jin, Z., Jiang, Y., Buchmann, R.A., Bi, Y., Ghiran, AM., Ma, W. (eds) Knowledge Science, Engineering and Management. KSEM 2023. Lecture Notes in Computer Science(), vol 14118. Springer, Cham. https://doi.org/10.1007/978-3-031-40286-9_8
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DOI: https://doi.org/10.1007/978-3-031-40286-9_8
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