We propose a system for a VR driving simulator including an \ac{its} to train the user's driving skills. TheVR driving simulator comprises a detailed model of a city,VR traffic, and a physical driving engine, interacting with the driver. In a physical mockup of a car cockpit, the driver operates the vehicle through the virtual environment by controlling a steering wheel, pedals, and a gear lever. Using a HMD, the driver observes the scene from within the car. The realism of the simulation is enhanced by a 6 DOF motion platform, capable of simulating forces experienced when accelerating, braking, or turning the car. Based on a pre-defined list of driving-related activities, the ITS permanently assesses the quality of driving during the simulation and suggests an optimal path through the city to the driver in order to improve the driving skills. A user study revealed that most drivers experience presence in the virtual world and are proficient in operating the car.


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    Titel :

    Adaptive Tutoring on a Virtual Reality Driving Simulator


    Beteiligte:
    Ropelato, Sandro (Autor:in) / Zund, Fabio (Autor:in) / Magnenat, Stephane (Autor:in) / Menozzi, Marino (Autor:in) / Summer, Robert W. (Autor:in)

    Erscheinungsdatum :

    2018-01-11


    Anmerkungen:

    International SERIES on Information Systems and Management in Creative eMedia (CreMedia); No 2017/2 (2017): Proceedings of the 10th International Workshop on Semantic Ambient Media Experiences (SAME 2017): Artificial Intelligence MEETS Virtual and Augmented Worlds (AIVR) - in conjunction with SIGGRAPH Asia; 12-17 ; 2341-5576 ; 2341-5584


    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch


    Klassifikation :

    DDC:    380 / 629



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