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• W4206473849 abstract "This paper focuses on the study of a product experience’s perception. It is then discussed how automotive Human-Machine Interfaces, as interactive products, are singular in their design process, perception, and evaluation. As essential products for a satisfactory user onboard experience, it is necessary for experts to have access to a translation of the non-expert perception, in a research and development perspective. Arguments about the benefits of using a sensory evaluation method, adapted to this kind of complex product, are provided. In this study, a sorting task evaluation is performed on naive people, to quantify and qualify the perception of a large number of stimuli. The paper proposes a statistical analysis methodology for processing data from a complex product evaluation. The analysis offers several levels of perception interpretation in order to provide a translation at different levels as well. An application example is given for three attributes that are different in nature and interpretation." @default.
• W4206473849 created "2022-01-26" @default.
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• W4206473849 date "2022-06-01" @default.
• W4206473849 modified "2023-09-29" @default.
• W4206473849 title "Translating non-experts’ perception for expert engineers: A first step in co-designing automotive human–machine interfaces" @default.
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• W4206473849 doi "https://doi.org/10.1016/j.foodqual.2022.104528" @default.
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