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Research on Construction and Evaluation of Female In-Vehicle HMI Perception Features Based on Multidimensional Kansei Model

Author(s)

Peng Sun

Affiliation(s)

Dalian Jiaotong University, Dalian, Liaoning, China

Abstract

This study aims to address the lack of targeted quantitative research on female users’ perceptual experience in current in-vehicle human-machine interface (HMI) design, and construct a systematic perception feature system and scientific evaluation model for female in-vehicle HMI. Combining multidimensional Kansei engineering theoretical framework, the research integrates semantic differential method, multiple linear regression and particle swarm optimization optimized support vector regression to establish the mapping relationship between interface design elements and users’ perceptual intention. Female driver groups are selected as core research subjects to extract Kansei semantic vocabularies and decompose multi-dimensional HMI design elements, then the multidimensional Kansei perception model is constructed and verified through controlled empirical experiments. The results show that the proposed model can effectively quantify female users’ perceptual preferences for in-vehicle HMI, and provide reliable quantitative support for female-oriented in-vehicle interaction design optimization.

Keywords

Multidimensional Kansei Engineering; In-Vehicle HMI; Female User Perception; Perceptual Evaluation

References

[1] Yonosuke Miki. Application of Kansei engineering for vehicle development in Nissan[J]. Journal of Japan Society of Kansei Engineering, 2006, 6: 35-38. [2] Xu Jie, Yang Chuan, Li Chao, et al. Optimization and verification of fault display interface of high-speed EMU HMI for efficient operation and maintenance[J]. Urban Mass Transit Research, 2026(4): 181-189. [3] Liu Zhenghong, Xie Qingsheng, Huang Haisong, et al. Construction and performance evaluation of multidimensional variable Kansei engineering model[J]. Journal of Sichuan University (Engineering Science Edition), 2016, 48(2): 9. DOI: 10.15961/j.jsuese.2016.02.029. [4] Chai Chunlei, Li Dan, Bao Defu, et al. Research on construction of multidimensional Kansei semantic recognition model[J]. Journal of Machine Design, 2017, 34(3): 6. [5] Liu Zhenghong, Pan Weijie, Lü Jian, et al. Construction of multidimensional Kansei engineering model based on multiple linear regression[J]. Modular Machine Tool & Automatic Manufacturing Technique, 2015(12): 4. DOI: 10.13462/j.cnki.mmtamt.2015.12.005. [6] Li Zhi, Liu Junjiang, Xiao Jinkui. Research on GPT model enhanced by Kansei engineering in distributed customized manufacturing schemes[J]. Industrial Engineering Journal, 2025(3). [7] Liu Lingling, Xue Chengqi. Product feature deconstruction method for multidimensional KE model construction[J]. Journal of Engineering Design, 2014, 21(4): 6. [8] Xu Xiaoqing. Research on interface optimization design of material APP in automobile manufacturing industry based on Kansei engineering[D]. Shenyang University of Technology, 2022. [9] Zhang Ningning, Feng Chen, Ji Li, et al. Kansei engineering analysis of visual design elements of automobile digital instruments[J]. Science Technology and Engineering, 2021, 21(35): 6. [10] Wang Peng, Su Jianning, Hu Chibing. Research on Kansei design of mechanical equipment based on TRIZ theory[C]//Proceedings of 2013 International Industrial Design Symposium & the 18th National Annual Conference on Industrial Design. 2013. [11] Zhang Liwei, Li Haolin, Yang Jinyuan, et al. Study on oscillation mechanism of plasma sheath in discharge chamber of RF self-neutralizing ion thruster[J]. Acta Physica Sinica, 2026, 75(21). DOI: 10.7498/aps.75.20260719. [12] Tang Fanxi, Yang Qin, Gao Shangqing. Kansei intention seat design and its applicability research based on KE-PSO-SVR model[J]. Packaging Engineering, 2025(12). [13] Lin Li. Construction and evaluation of multidimensional variable expression model of product emotional image based on KE[D]. Southeast University, 2012. DOI: 10.7666/d.Y2272810. [14] Du Xi. Research on subway service quality improvement based on Kano model and Kansei engineering[D]. Southwest Jiaotong University, 2021. [15] Li Jingyao, Guo Wei, Niu Zhanwen. Product Kansei customization model for mass consumers and its application[J]. Journal of Computer-Aided Design & Computer Graphics, 2007, 19(11): 5. [16] Cai Wanxin. Research on intelligent product image design based on association rule extraction of multidimensional Kansei information[D]. Guizhou University, 2026. [17] Chen Shibin, Yang Shuangjian, Zhu Lei, et al. Car styling image design and quantitative prediction model establishment based on BP neural network[J]. Packaging Engineering, 2019, 40(16): 6. [18] Huang Qi, Sun Shouqian. Research on automobile sketch design technology based on image cognitive model[J]. Journal of Zhejiang University (Engineering Science), 2006. [19] Xu Wenyi. Research on appearance design method of electric vehicle oriented to female aesthetic needs[D]. Hebei University of Technology, 2026. [20] He Lulu, Sun Ningna, Zeng Xi. Research on product form design based on multidimensional Kansei engineering[J]. Design, 2024(3). [21] Fu Liming, Yu Haiyang, Li Xuming. Cognitive image projection principle and evaluation model of automobile body surface modeling[J]. Journal of Jilin University (Engineering and Technology Edition), 2015, 45(1): 49-54. DOI: 10.13229/j.cnki.jdxbgxb201501008. [22] Shang Huichao, Tong Xiaodong, Fu Xiaoli. Extension model of product appearance design oriented to users' Kansei needs[J]. Machinery Design & Manufacture, 2025(8).