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Mateu Gisbert, Conrado
Publications (3 of 3) Show all publications
Lungaro, P., Tollmar, K., Saeik, F., Mateu Gisbert, C. & Dubus, G. (2018). Demonstration of a low-cost hyper-realistic testbed for designing future onboard experiences. In: Adjunct Proceedings - 10th International ACM Conference on Automotive User Interfaces and Interactive Vehicular Applications, AutomotiveUI 2018: . Paper presented at 10th ACM International Conference on Automotive User Interfaces and Interactive Vehicular Applications, AutomotiveUI 2018, 23 September 2018 through 25 September 2018 (pp. 235-238). Association for Computing Machinery, Inc
Open this publication in new window or tab >>Demonstration of a low-cost hyper-realistic testbed for designing future onboard experiences
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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
Keywords
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:nbn:se:kth:diva-252258 (URN)10.1145/3239092.3267850 (DOI)2-s2.0-85063139649 (Scopus ID)9781450359474 (ISBN)
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
Lungaro, P., Tollmar, K., Saeik, F., Mateu Gisbert, C. & Dubus, G. (2018). DriverSense: A hyper-realistic testbed for the design and evaluation of novel user interfaces in self-driving vehicles. In: Adjunct Proceedings - 10th International ACM Conference on Automotive User Interfaces and Interactive Vehicular Applications, AutomotiveUI 2018: . Paper presented at 10th ACM International Conference on Automotive User Interfaces and Interactive Vehicular Applications, AutomotiveUI 2018, 23 September 2018 through 25 September 2018 (pp. 127-131). Association for Computing Machinery, Inc
Open this publication in new window or tab >>DriverSense: A hyper-realistic testbed for the design and evaluation of novel user interfaces in self-driving vehicles
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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
Keywords
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:nbn:se:kth:diva-252259 (URN)10.1145/3239092.3265955 (DOI)2-s2.0-85063134845 (Scopus ID)9781450359474 (ISBN)
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
Mateu Gisbert, C. (2018). Novel synthetic environment to design and validate future onboard interfaces for self-driving vehicles. KTH Royal Institute of Technology
Open this publication in new window or tab >>Novel synthetic environment to design and validate future onboard interfaces for self-driving vehicles
2018 (English)Report (Refereed)
Abstract [en]

This thesis presents a novel synthetic environment for supporting advanced explorations of user interfaces and interaction modalities for future transport systems. The main goal of the work is the definition of novel interfaces solutions designed for increasing trust in self-driving vehicles. The basic idea is to provide insights to the passengers concerning the information available to the Artificial Intelligence (AI) modules on-board of the car, including the driving behaviour of the vehicle and its decision making.

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, they have very low degrees of realism for what concerns the digital components of the various traffic scenarios. These includes the visuals of the driving simulator and the behaviours of both other vehicles on the road and pedestrians.  High visual testbed fidelity becomes an important pre-requisite for supporting the design and evaluation of future on-board interfaces. An innovative experimental testbed 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 user studies, presenting novel self-driving interfaces and associated user experience results, are described. These explore the capabilities of inducing trust in autonomous vehicles and explore Heads-Up Diplays (HUDs), Augmented Reality (ARs) and directional audio solutions.

The work includes three core phases focusing on the development of software for the testbed, the definition of relevant interfaces and experiments and focused testing with panels comprising different user demographics.

Specific investigations will focus on the design and exploration of a set of alternative visual feedback mechanisms (adopting AR visualizations) to gather information about the surrounding environment and AI decision making. The performances of these will be assessed with real users in respect of their capability to foster trust in the vehicle and on the level of understandability of the provided signals.

Moreover, additional accessory studies will focus on the exploration of different designs for triggering driving handover, i.e. the transfer vehicle control from AI to human drivers, which is a central problem in current embodiments of self-driving vehicles.

Place, publisher, year, edition, pages
KTH Royal Institute of Technology, 2018. p. ix,44
Series
TRITA-EECS-RP ; 2018:3
National Category
Communication Systems
Identifiers
urn:nbn:se:kth:diva-235930 (URN)978-91-7729-991-2 (ISBN)
Note

QC 20181010

Available from: 2018-10-09 Created: 2018-10-09 Last updated: 2018-10-10Bibliographically approved
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