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DriverSense: A hyper-realistic testbed for the design and evaluation of novel user interfaces in self-driving vehicles
KTH, Skolan för elektroteknik och datavetenskap (EECS), Kommunikationssystem, CoS.ORCID-id: 0000-0002-9554-0071
KTH, Skolan för elektroteknik och datavetenskap (EECS), Kommunikationssystem, CoS.ORCID-id: 0000-0002-8286-3234
KTH, Skolan för elektroteknik och datavetenskap (EECS), Kommunikationssystem, CoS, Mobile Service Laboratory (MS Lab).
Vise andre og tillknytning
2018 (engelsk)Inngår i: Adjunct Proceedings - 10th International ACM Conference on Automotive User Interfaces and Interactive Vehicular Applications, AutomotiveUI 2018, Association for Computing Machinery, Inc , 2018, s. 127-131Konferansepaper, Publicerat paper (Fagfellevurdert)
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. 

sted, utgiver, år, opplag, sider
Association for Computing Machinery, Inc , 2018. s. 127-131
Emneord [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
HSV kategori
Identifikatorer
URN: urn:nbn:se:kth:diva-252259DOI: 10.1145/3239092.3265955Scopus ID: 2-s2.0-85063134845ISBN: 9781450359474 (tryckt)OAI: oai:DiVA.org:kth-252259DiVA, id: diva2:1321180
Konferanse
10th ACM International Conference on Automotive User Interfaces and Interactive Vehicular Applications, AutomotiveUI 2018, 23 September 2018 through 25 September 2018
Merknad

QC20190607

Tilgjengelig fra: 2019-06-07 Laget: 2019-06-07 Sist oppdatert: 2019-06-07bibliografisk kontrollert

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Forlagets fulltekstScopushttps://www.auto-ui.org/18/

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Lungaro, PietroTollmar, KonradMateu Gisbert, ConradoDubus, Gaël

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