Literature DB >> 26141907

Keep the driver in control: Automating automobiles of the future.

Victoria A Banks1, Neville A Stanton2.   

Abstract

Automated automobiles will be on our roads within the next decade but the role of the driver has not yet been formerly recognised or designed. Rather, the driver is often left in a passive monitoring role until they are required to reclaim control from the vehicle. This research aimed to test the idea of driver-initiated automation, in which the automation offers decision support that can be either accepted or ignored. The test case examined a combination of lateral and longitudinal control in addition to an auto-overtake system. Despite putting the driver in control of the automated systems by enabling them to accept or ignore behavioural suggestions (e.g. overtake), there were still issues associated with increased workload and decreased trust. These issues are likely to have arisen due to the way in which the automated system has been designed. Recommendations for improvements in systems design have been made which are likely to improve trust and make the role of the driver more transparent concerning their authority over the automated system.
Copyright © 2015 Elsevier Ltd and The Ergonomics Society. All rights reserved.

Keywords:  Automation; Driver trust; Driver workload; Thematic analysis

Mesh:

Year:  2015        PMID: 26141907     DOI: 10.1016/j.apergo.2015.06.020

Source DB:  PubMed          Journal:  Appl Ergon        ISSN: 0003-6870            Impact factor:   3.661


  4 in total

1.  Using Smartbands, Pupillometry and Body Motion to Detect Discomfort in Automated Driving.

Authors:  Matthias Beggiato; Franziska Hartwich; Josef Krems
Journal:  Front Hum Neurosci       Date:  2018-09-24       Impact factor: 3.169

2.  Electrophysiological frequency domain analysis of driver passive fatigue under automated driving conditions.

Authors:  Yijing Zhang; Jinfei Ma; Chi Zhang; Ruosong Chang
Journal:  Sci Rep       Date:  2021-10-13       Impact factor: 4.379

3.  Analysing the effect of gender on the human-machine interaction in level 3 automated vehicles.

Authors:  Shuo Li; Phil Blythe; Yanghanzi Zhang; Simon Edwards; Weihong Guo; Yanjie Ji; Paul Goodman; Graeme Hill; Anil Namdeo
Journal:  Sci Rep       Date:  2022-07-08       Impact factor: 4.996

4.  Divergent Effects of Factors on Crash Severity under Autonomous and Conventional Driving Modes Using a Hierarchical Bayesian Approach.

Authors:  Weixi Ren; Bo Yu; Yuren Chen; Kun Gao
Journal:  Int J Environ Res Public Health       Date:  2022-09-09       Impact factor: 4.614

  4 in total

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