Literature DB >> 29409628

Is partially automated driving a bad idea? Observations from an on-road study.

Victoria A Banks1, Alexander Eriksson2, Jim O'Donoghue3, Neville A Stanton4.   

Abstract

The automation of longitudinal and lateral control has enabled drivers to become "hands and feet free" but they are required to remain in an active monitoring state with a requirement to resume manual control if required. This represents the single largest allocation of system function problem with vehicle automation as the literature suggests that humans are notoriously inefficient at completing prolonged monitoring tasks. To further explore whether partially automated driving solutions can appropriately support the driver in completing their new monitoring role, video observations were collected as part of an on-road study using a Tesla Model S being operated in Autopilot mode. A thematic analysis of video data suggests that drivers are not being properly supported in adhering to their new monitoring responsibilities and instead demonstrate behaviour indicative of complacency and over-trust. These attributes may encourage drivers to take more risks whilst out on the road.
Copyright © 2017 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Automated driving; Driver role; Level of automation; Mode transitions; Partial automation; Transitions of control

Mesh:

Year:  2017        PMID: 29409628     DOI: 10.1016/j.apergo.2017.11.010

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


  5 in total

1.  The Effect of Cognitive Load on Auditory Susceptibility During Automated Driving.

Authors:  Remo M A Van der Heiden; J Leon Kenemans; Stella F Donker; Christian P Janssen
Journal:  Hum Factors       Date:  2021-03-11       Impact factor: 3.598

2.  Perceived safety and trust in SAE Level 2 partially automated cars: Results from an online questionnaire.

Authors:  Sina Nordhoff; Jork Stapel; Xiaolin He; Alexandre Gentner; Riender Happee
Journal:  PLoS One       Date:  2021-12-21       Impact factor: 3.240

Review 3.  How transparency modulates trust in artificial intelligence.

Authors:  John Zerilli; Umang Bhatt; Adrian Weller
Journal:  Patterns (N Y)       Date:  2022-02-24

4.  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

5.  Mental workload accumulation effect of mobile phone distraction in L2 autopilot mode.

Authors:  Hongfei Zhao; Jinfei Ma; Yijing Zhang; Ruosong Chang
Journal:  Sci Rep       Date:  2022-10-07       Impact factor: 4.996

  5 in total

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