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DriverSense: A hyper-realistic testbed for the design and evaluation of novel user interfaces in self-driving vehicles
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. 127-131Conference paper, Published paper (Refereed)
Abstract [en]

This paper presents DriverSense, a novel experimental platform for designing and validating onboard user interfaces for self-driving and remotely controlled vehicles. Most of currently existing academic and industrial testbeds and vehicular simulators are designed to reproduce with high fidelity the ergonomic aspects associated with the driving experience. However, with increasing deployment of self-driving and remote controlled vehicular modalities, it is expected that the digital components of the driving experience will become more and more relevant, 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 onboard 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 selected case studies, including Heads-Up Diplays (HUDs), Augmented Reality (ARs) and directional audio solutions, are presented. 

Place, publisher, year, edition, pages
Association for Computing Machinery, Inc , 2018. p. 127-131
Keywords [en]
AR, Autonomous vehicular systems, Trust, Argon, Augmented reality, Remote control, Testbeds, Design and evaluations, Digital components, Driving experiences, Driving tasks, Experimental platform, Pre-requisites, Vehicular systems, User interfaces
National Category
Communication Systems
Identifiers
URN: urn:nbn:se:kth:diva-252259DOI: 10.1145/3239092.3265955Scopus ID: 2-s2.0-85063134845ISBN: 9781450359474 (print)OAI: oai:DiVA.org:kth-252259DiVA, id: diva2:1321180
Conference
10th ACM International Conference on Automotive User Interfaces and Interactive Vehicular Applications, AutomotiveUI 2018, 23 September 2018 through 25 September 2018
Note

QC20190607

Available from: 2019-06-07 Created: 2019-06-07 Last updated: 2019-06-07Bibliographically approved

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

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Lungaro, PietroTollmar, KonradMateu Gisbert, ConradoDubus, Gaël

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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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