Abstract
Based on the review of research methods in the design field, it can be found that the KJ method is heavily used in the information induction stage of user research, but the KJ method has the disadvantage of subjectivity in the clustering process. Quantitative research characteristics of the AHP method through weight calculation can effectively overcome the subjectivity of the KJ method, so the KJ method is combined with the AHP method to form a bottom-up exogenous innovation integration method. In this paper, the method is applied to the research on the topic of community new energy vehicle charging service designs in line with the current era, and outputs a set of service design for community new energy vehicle charging based on user needs research.
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Wei, W., Tang, S., Huang, R. (2023). The Design of a Community New Energy Vehicle Shared Charging Service System Based on the KJ-AHP Method. In: Duffy, V.G., Krömker, H., A. Streitz, N., Konomi, S. (eds) HCI International 2023 – Late Breaking Papers. HCII 2023. Lecture Notes in Computer Science, vol 14057. Springer, Cham. https://doi.org/10.1007/978-3-031-48047-8_29
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