Abstract With the Development of Artificial Intelligence, there are different ways to interact with vehicles besides graphical user interface (GUI). Technology such as speech recognition, gesture recognition, facial expression recognition, and gaze tracking has gradually gained application in vehicle interaction. The advances in autonomous driving technology will also lead to the transformation of vehicle functions from transportation to multi-sensory space. Users can get a comprehensive experience based on sight, hearing, touch, taste and smell in future vehicles. Therefore, an exploration of the future vehicle interaction design combined with vehicle technology is needed. The objective of this paper is to deliver a vehicle multi-sensory user interaction design model based on the MINDS method [1]. This paper starts with the function analysis based on user requirement. On this basis, a connection between user and innovative services can be illustrated which enhances the user experience. Then an interaction sketch offered a detailed view of how users interact with vehicles and how technology impacts interaction. Finally, a new vehicle interaction model can be created by integrating the scenarios, technology, and users.


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    Title :

    Vehicle Multi-sensory User Interaction Design Research Based on MINDS Methods


    Contributors:
    Wu, Qianqian (author) / Zhang, Zhang (author)


    Publication date :

    2019-06-05


    Size :

    6 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English




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