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dc.contributor.author
Ropelato, Sandro
dc.contributor.author
Zünd, Fabio
dc.contributor.author
Magnenat, Stéphane
dc.contributor.author
Menozzi, Marino
dc.contributor.author
Sumner, Robert
dc.date.accessioned
2018-06-06T06:38:45Z
dc.date.available
2017-10-16T11:02:56Z
dc.date.available
2017-10-18T08:32:30Z
dc.date.available
2018-06-06T06:38:45Z
dc.date.issued
2018-01-01
dc.identifier.issn
2341-5584
dc.identifier.issn
2341-5576
dc.identifier.issn
2341-6165
dc.identifier.uri
http://hdl.handle.net/20.500.11850/195951
dc.identifier.doi
10.3929/ethz-b-000195951
dc.description.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.
en_US
dc.format
application/pdf
en_US
dc.language.iso
en
en_US
dc.publisher
International Ambient Media Association (iAMEA)
en_US
dc.rights.uri
http://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subject
virtual reality
en_US
dc.subject
driving simulation
en_US
dc.subject
intelligent tutoring system
en_US
dc.title
Adaptive Tutoring on a Virtual Reality Driving Simulator
en_US
dc.type
Conference Paper
dc.rights.license
Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International
dc.date.published
2017-10-18
ethz.journal.title
International SERIES on Information Systems and Management in Creative EMedia (CreMedia)
ethz.journal.volume
2017
en_US
ethz.journal.issue
2
en_US
ethz.pages.start
12
en_US
ethz.pages.end
17
en_US
ethz.version.deposit
acceptedVersion
en_US
ethz.event
1st Workshop on Artificial Intelligence Meets Virtual and Augmented Worlds (AIVRAR) in conjunction with SIGGRAPH Asia 2017
en_US
ethz.event.location
Bangkok, Thailand
en_US
ethz.event.date
November 27-30, 2017
en_US
ethz.publication.place
Zurich
en_US
ethz.publication.status
published
en_US
ethz.leitzahl
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02150 - Dep. Informatik / Dep. of Computer Science::08698 - Game Technology Center (GTC)
en_US
ethz.identifier.url
http://www.ambientmediaassociation.org/Journal/index.php/series/article/view/275
ethz.date.deposited
2017-10-16T11:02:57Z
ethz.source
FORM
ethz.eth
yes
en_US
ethz.availability
Open access
en_US
ethz.rosetta.installDate
2018-06-06T06:39:00Z
ethz.rosetta.lastUpdated
2021-02-15T00:16:45Z
ethz.rosetta.versionExported
true
ethz.COinS
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