Literature DB >> 29885726

An interview study exploring Tesla drivers' behavioural adaptation.

Rui Lin1, Liang Ma2, Wei Zhang3.   

Abstract

Partially automated vehicles (PAVs) have been used in real-world environments for several years since the emergence of autonomous driving. It is important to understand the effects of partial automation systems (PAS) on the understanding of drivers and their behaviour during the first months of use. In order to adapt to new vehicle technology, drivers usually exhibit specific behaviours in this stage that are not intended by the developers, namely behavioural adaptation. The present study investigated the behavioural adaptations by early PAV adopters after short-term usage. A semi-structured interview was conducted among 20  Tesla drivers who had relatively high experience (one to five months) with Autopilot, and the interviews were synthesized to understand their behavioural adaptation, mental models, and trust during the period of use. The results showed that PAV drivers had a very positive attitude towards the PAS and drivers universally engaged in secondary tasks during automated driving. They also learned from their experiences to identify relatively safe usage conditions and they employed a safety margin to avoid exposure to excessively risky situations.
Copyright © 2018 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Automated driving; Partial automation system; Secondary task

Mesh:

Year:  2018        PMID: 29885726     DOI: 10.1016/j.apergo.2018.04.006

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


  2 in total

Review 1.  Public acceptance and perception of autonomous vehicles: a comprehensive review.

Authors:  Kareem Othman
Journal:  AI Ethics       Date:  2021-02-26

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

  2 in total

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