With the development of automotive intelligence, networking and automation, the interaction between users and vehicles has changed. Automobile product development based on user experience is the only way for future OEMs (Original Equipment Manufacturers). Research on vehicle scenarios is the breakthrough point for the optimization and upgrading of intelligent cockpit products. User emotions under different scenarios are the core indicators to express users' satisfaction with vehicle functions. However, at present, the data of user emotions generally need to be obtained in the form of user interviews, which is subjective and not convincing. This paper aims to propose a quantitative method to identify users' emotions. Specifically, using eye tracker to record users' eye movement signals in different scenarios, and identifying users' emotions in different scenarios through data analysis, so as to judge the user's satisfaction.


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    Titel :

    Research on User Experience Evaluation Method Based on Eye Movement Technology


    Beteiligte:
    Jian, Meng (Autor:in) / Bo, Zhang (Autor:in) / Ya'nan, Li (Autor:in)


    Erscheinungsdatum :

    28.10.2022


    Format / Umfang :

    2066665 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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