Adaptive Tutoring on a Virtual Reality Driving Simulator


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Date

2018-01-01

Publication Type

Conference Paper

ETH Bibliography

yes

Citations

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Data

Abstract

We propose a system for a Virtual Reality (VR) driving simulator including an Intelligent Tutoring System (ITS) to train the user's driving skills. The VR driving simulator comprises a detailed model of a city, Artificial Intelligence (AI) 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 Head-Mounted Display (HMD), the driver observes the scene from within the car. The realism of the simulation is enhanced by a 6 Degrees of Freedom (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.

Publication status

published

Editor

Book title

Volume

2017 (2)

Pages / Article No.

12 - 17

Publisher

International Ambient Media Association (iAMEA)

Event

1st Workshop on Artificial Intelligence Meets Virtual and Augmented Worlds (AIVRAR) in conjunction with SIGGRAPH Asia 2017

Edition / version

Methods

Software

Geographic location

Date collected

Date created

Subject

virtual reality; driving simulation; intelligent tutoring system

Organisational unit

08698 - Game Technology Center (GTC)

Notes

Funding

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