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Demonstration of a low-cost hyper-realistic testbed for designing future onboard experiences
KTH, School of Electrical Engineering and Computer Science (EECS), Communication Systems, CoS.
KTH, School of Electrical Engineering and Computer Science (EECS), Communication Systems, CoS.ORCID iD: 0000-0002-9554-0071
KTH, School of Electrical Engineering and Computer Science (EECS), Communication Systems, CoS.ORCID iD: 0000-0002-8286-3234
KTH, School of Electrical Engineering and Computer Science (EECS), Communication Systems, CoS, Mobile Service Laboratory (MS Lab).
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2018 (English)In: Adjunct Proceedings - 10th International ACM Conference on Automotive User Interfaces and Interactive Vehicular Applications, AutomotiveUI 2018, Association for Computing Machinery, Inc , 2018, p. 235-238Conference paper, Published paper (Refereed)
Abstract [en]

This demo presents DriverSense, a novel experimental platform for designing and validating onboard user interfaces for self-driving and remotely controlled vehicles. Most of currently existing vehicular testbeds and simulators are designed to reproduce with high fidelity the ergonomic aspects associated with the driving experience. However, with increasing deployment of self-driving and remotely controlled or monitored vehicles, it is expected that the digital components of the driving experience will become more relevant. That is because users will be less engaged in the actual driving tasks and more involved with oversight activities. In this respect, high visual testbed fidelity becomes an important pre-requisite for supporting the design and evaluation of future interfaces. DriverSense, which is based on the hyper-realistic video game GTA V, has been developed to satisfy this need. To showcase its experimental flexibility, a set of self-driving interfaces have been implemented, including Heads-Up Display (HUDs), Augmented Reality (ARs) and directional audio.

Place, publisher, year, edition, pages
Association for Computing Machinery, Inc , 2018. p. 235-238
Keywords [en]
AR, Experimental assessment, HUD, Self-driving, Testbed, Argon, Augmented reality, Costs, Testbeds, Design and evaluations, Digital components, Driving experiences, Experimental platform, Heads-up display, Pre-requisites, Self drivings, User interfaces
National Category
Human Computer Interaction
Identifiers
URN: urn:nbn:se:kth:diva-252258DOI: 10.1145/3239092.3267850Scopus ID: 2-s2.0-85063139649ISBN: 9781450359474 (print)OAI: oai:DiVA.org:kth-252258DiVA, id: diva2:1324886
Conference
10th ACM International Conference on Automotive User Interfaces and Interactive Vehicular Applications, AutomotiveUI 2018, 23 September 2018 through 25 September 2018
Note

QC20190614

Available from: 2019-06-14 Created: 2019-06-14 Last updated: 2019-06-14Bibliographically approved

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Publisher's full textScopushttps://www.auto-ui.org/18

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Lungaro, PietroTollmar, KonradSaeik, FirdoseMateu Gisbert, ConradoDubus, Gaël
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Communication Systems, CoSMobile Service Laboratory (MS Lab)
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