Updating our understanding of situation awareness in remote operators of autonomous vehicles. / Mutzenich, Clare; Durant, Szonya; Helman, Shaun; Dalton, Polly.

In: Cognitive Research: Principles and Implications, 30.07.2020.

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Updating our understanding of situation awareness in remote operators of autonomous vehicles. / Mutzenich, Clare; Durant, Szonya; Helman, Shaun; Dalton, Polly.

In: Cognitive Research: Principles and Implications, 30.07.2020.

Research output: Contribution to journalArticle

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@article{331997e1b232450085dc6be05f084c68,
title = "Updating our understanding of situation awareness in remote operators of autonomous vehicles",
abstract = "The introduction of autonomous vehicles (AVs) could prevent many accidents attributable to human driver error. However, even entirely driverless vehicles will sometimes require remote human intervention. Current taxonomies of automated driving do not acknowledge the possibility of remote control of AVs or the challenges that are unique to a driver in charge of a vehicle that they are not physically occupying. Yet there are significant differences between situation awareness (SA) in normal driving contexts and SA in remote driving operations. Remote Vehicle Operators (RVOs) will have limited prior awareness of the situation and will be reliant on second-hand information from the scene. SA in the remote scenario is therefore likely to be poorer and take longer to develop. We argue that the established understanding of automated driving requires updating to include the context of remote operation. We emphasise the importance of designing control interfaces in a way that will maximise remote SA and we identify some principles for designing systems aimed at increasing an RVO{\textquoteright}s sense of embodiment in the AV that they are controlling.",
author = "Clare Mutzenich and Szonya Durant and Shaun Helman and Polly Dalton",
year = "2020",
month = jul,
day = "30",
language = "English",
journal = "Cognitive Research: Principles and Implications",

}

RIS

TY - JOUR

T1 - Updating our understanding of situation awareness in remote operators of autonomous vehicles

AU - Mutzenich, Clare

AU - Durant, Szonya

AU - Helman, Shaun

AU - Dalton, Polly

PY - 2020/7/30

Y1 - 2020/7/30

N2 - The introduction of autonomous vehicles (AVs) could prevent many accidents attributable to human driver error. However, even entirely driverless vehicles will sometimes require remote human intervention. Current taxonomies of automated driving do not acknowledge the possibility of remote control of AVs or the challenges that are unique to a driver in charge of a vehicle that they are not physically occupying. Yet there are significant differences between situation awareness (SA) in normal driving contexts and SA in remote driving operations. Remote Vehicle Operators (RVOs) will have limited prior awareness of the situation and will be reliant on second-hand information from the scene. SA in the remote scenario is therefore likely to be poorer and take longer to develop. We argue that the established understanding of automated driving requires updating to include the context of remote operation. We emphasise the importance of designing control interfaces in a way that will maximise remote SA and we identify some principles for designing systems aimed at increasing an RVO’s sense of embodiment in the AV that they are controlling.

AB - The introduction of autonomous vehicles (AVs) could prevent many accidents attributable to human driver error. However, even entirely driverless vehicles will sometimes require remote human intervention. Current taxonomies of automated driving do not acknowledge the possibility of remote control of AVs or the challenges that are unique to a driver in charge of a vehicle that they are not physically occupying. Yet there are significant differences between situation awareness (SA) in normal driving contexts and SA in remote driving operations. Remote Vehicle Operators (RVOs) will have limited prior awareness of the situation and will be reliant on second-hand information from the scene. SA in the remote scenario is therefore likely to be poorer and take longer to develop. We argue that the established understanding of automated driving requires updating to include the context of remote operation. We emphasise the importance of designing control interfaces in a way that will maximise remote SA and we identify some principles for designing systems aimed at increasing an RVO’s sense of embodiment in the AV that they are controlling.

M3 - Article

JO - Cognitive Research: Principles and Implications

JF - Cognitive Research: Principles and Implications

ER -