Human vehicle interaction model for supervision in conditionally automated driving cars

Capallera, Marine (School of Engineering and Architecture (HEIA-FR), HES-SO // University of Applied Sciences Western Switzerland) ; Abou Khaled, Omar (School of Engineering and Architecture (HEIA-FR), HES-SO // University of Applied Sciences Western Switzerland) ; Angelini, Leonardo (School of Engineering and Architecture (HEIA-FR), HES-SO // University of Applied Sciences Western Switzerland) ; Mugellini, Elena (School of Engineering and Architecture (HEIA-FR), HES-SO // University of Applied Sciences Western Switzerland)

Developments in the field of semi-autonomous driving will increasingly free the driver from the main driving task. Conditional autonomous driving allows the driver not to constantly monitor her/his environment, but s/he must still be able to regain control of the vehicle at any time if the situation requires it. That’s why it is important to maintain driver’s Situation Awareness while is performing a secondary task. This paper presents a model of an adaptive, full-body and multimodal Human Vehicle Interaction (HVI) for supervision.


Keywords:
Conference Type:
short paper
Faculty:
Ingénierie et Architecture
School:
HEIA-FR
Institute:
HumanTech - Technology for Human Wellbeing Institute
Publisher:
Siena, Italy, 16-20 November 2020
Date:
2020-11
Siena, Italy
16-20 November 2020
Pagination:
4 p.
Published in:
Proceedings of ETIS 2020 : the Fourth European Tangible Interaction Studio, 16-20 November 2020, Siena, Italy
Appears in Collection:

Note: The status of this file is: restricted


 Record created 2021-01-12, last modified 2021-01-20

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