Literature DB >> 28992451

Driver compliance to take-over requests with different auditory outputs in conditional automation.

Yannick Forster1, Frederik Naujoks2, Alexandra Neukum3, Lynn Huestegge4.   

Abstract

Conditionally automated driving (CAD) systems are expected to improve traffic safety. Whenever the CAD system exceeds its limit of operation, designers of the system need to ensure a safe and timely enough transition from automated to manual mode. An existing visual Human-Machine Interface (HMI) was supplemented by different auditory outputs. The present work compares the effects of different auditory outputs in form of (1) a generic warning tone and (2) additional semantic speech output on driver behavior for the announcement of an upcoming take-over request (TOR). We expect the information carried by means of speech output to lead to faster reactions and better subjective evaluations by the drivers compared to generic auditory output. To test this assumption, N=17 drivers completed two simulator drives, once with a generic warning tone ('Generic') and once with additional speech output ('Speech+generic'), while they were working on a non-driving related task (NDRT; i.e., reading a magazine). Each drive incorporated one transition from automated to manual mode when yellow secondary lanes emerged. Different reaction time measures, relevant for the take-over process, were assessed. Furthermore, drivers evaluated the complete HMI regarding usefulness, ease of use and perceived visual workload just after experiencing the take-over. They gave comparative ratings on usability and acceptance at the end of the experiment. Results revealed that reaction times, reflecting information processing time (i.e., hands on the steering wheel, termination of NDRT), were shorter for 'Speech+generic' compared to 'Generic' while reaction time, reflecting allocation of attention (i.e., first glance ahead), did not show this difference. Subjective ratings were in favor of the system with additional speech output.
Copyright © 2017 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Conditional automation; Highly automated driving; Human machine interface; Human-machine interaction

Mesh:

Year:  2017        PMID: 28992451     DOI: 10.1016/j.aap.2017.09.019

Source DB:  PubMed          Journal:  Accid Anal Prev        ISSN: 0001-4575


  2 in total

1.  External Human-Machine Interfaces for Autonomous Vehicles from Pedestrians' Perspective: A Survey Study.

Authors:  Jiawen Guo; Quan Yuan; Jingrui Yu; Xizheng Chen; Wenlin Yu; Qian Cheng; Wuhong Wang; Wenhui Luo; Xiaobei Jiang
Journal:  Sensors (Basel)       Date:  2022-04-27       Impact factor: 3.847

2.  Transitions Between Highly Automated and Longitudinally Assisted Driving: The Role of the Initiator in the Fight for Authority.

Authors:  Davide Maggi; Richard Romano; Oliver Carsten
Journal:  Hum Factors       Date:  2020-08-31       Impact factor: 2.888

  2 in total

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