Literature DB >> 26646299

Fully Automated Driving: Impact of Trust and Practice on Manual Control Recovery.

William Payre1, Julien Cestac2, Patricia Delhomme3.   

Abstract

OBJECTIVE: An experiment was performed in a driving simulator to investigate the impacts of practice, trust, and interaction on manual control recovery (MCR) when employing fully automated driving (FAD).
BACKGROUND: To increase the use of partially or highly automated driving efficiency and to improve safety, some studies have addressed trust in driving automation and training, but few studies have focused on FAD. FAD is an autonomous system that has full control of a vehicle without any need for intervention by the driver.
METHOD: A total of 69 drivers with a valid license practiced with FAD. They were distributed evenly across two conditions: simple practice and elaborate practice.
RESULTS: When examining emergency MCR, a correlation was found between trust and reaction time in the simple practice group (i.e., higher trust meant a longer reaction time), but not in the elaborate practice group. This result indicated that to mitigate the negative impact of overtrust on reaction time, more appropriate practice may be needed.
CONCLUSIONS: Drivers should be trained in how the automated device works so as to improve MCR performance in case of an emergency. APPLICATION: The practice format used in this study could be used for the first interaction with an FAD car when acquiring such a vehicle.
© 2015, Human Factors and Ergonomics Society.

Keywords:  fully automated driving; manual control recovery; practice; trust

Mesh:

Year:  2015        PMID: 26646299     DOI: 10.1177/0018720815612319

Source DB:  PubMed          Journal:  Hum Factors        ISSN: 0018-7208            Impact factor:   2.888


  6 in total

1.  Automation Expectation Mismatch: Incorrect Prediction Despite Eyes on Threat and Hands on Wheel.

Authors:  Trent W Victor; Emma Tivesten; Pär Gustavsson; Joel Johansson; Fredrik Sangberg; Mikael Ljung Aust
Journal:  Hum Factors       Date:  2018-08-10       Impact factor: 2.888

2.  Scared to Trust? - Predicting Trust in Highly Automated Driving by Depressiveness, Negative Self-Evaluations and State Anxiety.

Authors:  Johannes Kraus; David Scholz; Eva-Maria Messner; Matthias Messner; Martin Baumann
Journal:  Front Psychol       Date:  2020-01-23

3.  Predicting takeover response to silent automated vehicle failures.

Authors:  Callum Mole; Jami Pekkanen; William Sheppard; Tyron Louw; Richard Romano; Natasha Merat; Gustav Markkula; Richard Wilkie
Journal:  PLoS One       Date:  2020-11-30       Impact factor: 3.240

4.  More Than a Feeling-Interrelation of Trust Layers in Human-Robot Interaction and the Role of User Dispositions and State Anxiety.

Authors:  Linda Miller; Johannes Kraus; Franziska Babel; Martin Baumann
Journal:  Front Psychol       Date:  2021-04-12

5.  An EEG study of human trust in autonomous vehicles based on graphic theoretical analysis.

Authors:  Tao Xu; Andrei Dragomir; Xucheng Liu; Haojun Yin; Feng Wan; Anastasios Bezerianos; Hongtao Wang
Journal:  Front Neuroinform       Date:  2022-08-16       Impact factor: 3.739

6.  Trusting Other Vehicles' Automatic Emergency Braking Decreases Self-Protective Driving.

Authors:  Yasunori Kinosada; Takashi Kobayashi; Kazumitsu Shinohara
Journal:  Hum Factors       Date:  2020-02-26       Impact factor: 2.888

  6 in total

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