Measuring trust in automated driving using a multi-level approach to human factors

As the driving is shifting towards automation, the maximization of related benefits would profit from improved user acceptance of the new technology. Studies suggest a strong connection between acceptance and trust in technical solutions. We investigate the improvement of user trust to driving autom...

Full description

Saved in:

Bibliographic Details
Published in:	2021 24th Euromicro Conference on Digital System Design (DSD) pp. 410 - 417
Main Authors:	Clement, Philipp, Danzinger, Herbert, Veledar, Omar, Konczol, Clemens, Macher, Georg, Eichberger, Arno
Format:	Conference Proceeding
Language:	English
Published:	IEEE 01-09-2021
Subjects:	ADAS/AD Automation comfort Data integrity Digital systems driver state heart-rate HMI Human factors In-cabin measurement Machine learning multi-level approach Particle measurements psychophysiology trust User experience
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!

Description
Summary:	As the driving is shifting towards automation, the maximization of related benefits would profit from improved user acceptance of the new technology. Studies suggest a strong connection between acceptance and trust in technical solutions. We investigate the improvement of user trust to driving automation through demonstrations carried out in a sophisticated driving simulator. The study correlates subjective data with objective psychophysiological measurements. The multi-factorial and multivariate analysis of variance investigates the influence of learning effects and pre-experience with advanced driver assistance systems on trust. Results show improvement in trust through user interaction with a human-machine interface of the demonstrated AD system, hence illustrating the relevance of human-centered development processes. The conclusion is supported by the observation of driver cardiac signals.
DOI:	10.1109/DSD53832.2021.00069