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Research on Household Product Design Based on Design Knowledge Hierarchy and Text Mining—Taking Aroma Diffuser as an Example

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Human Interface and the Management of Information: Applications in Complex Technological Environments (HCII 2022)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 13306))

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Abstract

Online review data on e-commerce websites is one of the most important channels that reflect user demands and preferences. This work takes household aroma diffusers products as the study object, conducts text mining based on design knowledge hierarchy (DKH) to explore a user demand acquisition and analysis method to obtain the structural relationship among multiple demands then evaluate the importance, so as to help develop product improvement strategies and product design positions. Applying the method in this work, three design positions of household aroma diffusers are defined with the typical part option clusters, and a specific design is proposed.

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Correspondence to Zhenyu Gu .

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Chen, Z., Zhang, X., Zhu, X., Gu, Z. (2022). Research on Household Product Design Based on Design Knowledge Hierarchy and Text Mining—Taking Aroma Diffuser as an Example. In: Yamamoto, S., Mori, H. (eds) Human Interface and the Management of Information: Applications in Complex Technological Environments. HCII 2022. Lecture Notes in Computer Science, vol 13306. Springer, Cham. https://doi.org/10.1007/978-3-031-06509-5_1

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  • DOI: https://doi.org/10.1007/978-3-031-06509-5_1

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-06508-8

  • Online ISBN: 978-3-031-06509-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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