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• W2181098794 abstract "This paper presents a neural network based approach to modeling consumers' affective responses for product form design. A theoretical framework for a single user's perception is developed. On the basis of this theoretical framework, a mathematical model which enables single users' responses to different products to be predicted was developed. The results obtained show that the mathematical models developed achieved highly accurate predictions. For the purpose of obtaining a global model various individual mathematical models were created, which were based on the opinions of users representing different groups of opinion. The results suggest that, under some conditions, the combined use of various models of individual users can perform as well as a single model generated on the basis of mean market responses." @default.
• W2181098794 created "2016-06-24" @default.
• W2181098794 creator A5046546561 @default.
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• W2181098794 date "2016-05-01" @default.
• W2181098794 modified "2023-09-27" @default.
• W2181098794 title "Single users' affective responses models for product form design" @default.
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• W2181098794 doi "https://doi.org/10.1016/j.ergon.2015.11.005" @default.
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