Age-based Preference Design of Mobile APPs for New Energy Vehicles Based on Kmeans-KANO Models

WANG Yuxi; ZHOU Kai

doi:10.19554/j.cnki.1001-3563.2026.04.008

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Packaging Engineering ›› 2026, Vol. 47 ›› Issue (4) : 88-99. DOI: 10.19554/j.cnki.1001-3563.2026.04.008

Industrial Design

Age-based Preference Design of Mobile APPs for New Energy Vehicles Based on Kmeans-KANO Models

WANG Yuxi, ZHOU Kai^*

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Abstract

Most current mobile APPs for new energy vehicles are designed based on generalized user needs, failing to address the diverse preferences of users at different ages. The work aims to establish a more targeted personalized design mechanism to improve user satisfaction. A Kmeans-KANO-based need analysis model based on references of users at different ages was proposed. Firstly, Natural-language user needs were collected and transformed into quantitative feature vectors via encoding. Then, Kmeans clustering was applied to identify distinct need patterns across user groups. In combination with the KANO model, functional preferences of the youth and middle-aged users were analyzed. Accordingly, differentiated APP optimization plans were formed, the key needs of young and middle-aged users were clearly identified, and functional modules and interactive interfaces that matched their needs were designed, significantly enhancing user satisfaction. It quantitatively reveals the influence of age differences on user needs. The proposed design framework enhances the personalized service capability of APPs and provides theoretical support and practical reference for product optimization.

Key words

new energy vehicles (NEVs) / mobile APPs / differentiated design / KANO analysis / cluster features

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WANG Yuxi, ZHOU Kai. Age-based Preference Design of Mobile APPs for New Energy Vehicles Based on Kmeans-KANO Models[J]. Packaging Engineering. 2026, 47(4): 88-99 https://doi.org/10.19554/j.cnki.1001-3563.2026.04.008

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