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A Comparative Study on Mapping Experience of Typical Battery Electric Vehicles Based on Big Data Text Mining Technology

  • Conference paper
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HCI International 2022 Posters (HCII 2022)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1583))

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Abstract

Battery electric vehicles (BEV) are the core innovation of low-carbon travel transformation. However, there are still few evaluation studies on the user experience of its users. This paper is based on the text mining of big data natural language processing. Taking the user experience reviews of typical Battery electric vehicles as the research object, by comparing the user experience reviews of users of two typical electric vehicles that are more popular in China on Quora with Chinese characteristics, the specific research models are Tesla Model 3 which is representative of international brands and BYD Han EV which represents a domestic brand. After data collection, filtering, extraction, analysis, and mapping. The specific findings are as follows: Firstly, In terms of the vehicle hardware itself, the user experience of both focuses on the “battery”, Model3 Focusing on “brake”, the user experience of Han EV pays more attention to “appearance” and “rear space”; Secondly, in terms of vehicle software configuration, both pay attention to “system”, and Han EV users focus more on the features that are not obvious, Model 3 its user experience focuses on “charging”, “marketing” and “performance”; Thirdly, in terms of subjective feeling, both focus on “driving” and “experience”, and Model 3 focuses more on “owner” and “price”. Overall, we have the conditions to conclude that in the context of the experience economy, the application of artificial intelligence technology uses big data to actively “restore” user experience in real scenarios, and optimize the user experience of traditional subjective questionnaires based on small data. Ground on the research of group characteristics, explore the possibility of individual user experience characteristics that can highly fit the characteristics of user groups in the future.

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Acknowledgement

This study was supported by the Key Project of National Social Science Fund, China (Grant No. 21&ZD215).

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Authors and Affiliations

  1. School of Art Design and Media, East China University of Science and Technology, Shanghai, 200237, China

    Quan Gu, Shengqing Huang, Zhang Jie, Yue Cui & Ying Zhang

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  1. Quan Gu
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  2. Shengqing Huang
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  3. Zhang Jie
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  4. Yue Cui
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  5. Ying Zhang
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Corresponding author

Correspondence to Zhang Jie .

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Editors and Affiliations

  1. University of Crete and Foundation for Research and Technology – Hellas (FORTH), Heraklion, Crete, Greece

    Constantine Stephanidis

  2. Foundation for Research and Technology – Hellas (FORTH), Heraklion, Crete, Greece

    Margherita Antona

  3. Foundation for Research and Technology – Hellas (FORTH), Heraklion, Crete, Greece

    Stavroula Ntoa

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Gu, Q., Huang, S., Jie, Z., Cui, Y., Zhang, Y. (2022). A Comparative Study on Mapping Experience of Typical Battery Electric Vehicles Based on Big Data Text Mining Technology. In: Stephanidis, C., Antona, M., Ntoa, S. (eds) HCI International 2022 Posters. HCII 2022. Communications in Computer and Information Science, vol 1583. Springer, Cham. https://doi.org/10.1007/978-3-031-06394-7_27

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  • DOI: https://doi.org/10.1007/978-3-031-06394-7_27

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-06393-0

  • Online ISBN: 978-3-031-06394-7

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