Difference between revisions of "BrownLaurier2017"

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{{BibEntry
 
{{BibEntry
 +
|BibType=INPROCEEDINGS
 +
|Author(s)=Barry Brown; Eric Laurier;
 +
|Title=The Trouble with Autopilots
 +
|Tag(s)=Car driving; EMCA
 
|Key=BrownLaurier2017
 
|Key=BrownLaurier2017
|Key=BrownLaurier2017
 
|Title=The Trouble with Autopilots
 
|Author(s)=Barry Brown; Eric Laurier;
 
|Tag(s)=
 
|ISBN=9781450346559
 
|BibType=ARTICLE
 
 
|Year=2017
 
|Year=2017
 +
|Language=English
 
|Journal=Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems  - CHI '17
 
|Journal=Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems  - CHI '17
 
|Pages=416–429
 
|Pages=416–429
 
|URL=http://dl.acm.org/citation.cfm?doid3025453.3025462
 
|URL=http://dl.acm.org/citation.cfm?doid3025453.3025462
 
|DOI=10.1145/3025453.3025462
 
|DOI=10.1145/3025453.3025462
 +
|ISBN=9781450346559
 
|Abstract=As self-driving cars have grown in sophistication and ability, they have been deployed on the road in both localised tests and as regular private vehicles. In this paper we draw upon publicly available videos of autonomous and assisted driving (specifically the Tesla autopilot and Google self-driving car) to explore how their drivers and the drivers of other cars interact with, and make sense of, the actions of these cars. Our findings provide an early perspective on human interaction with new forms of driving involving assisted-car drivers, autonomous vehicles and other road users. The focus is on social interaction on the road, and how drivers communicate through, and interpret, the movement of cars. We provide suggestions toward increasing the transparency of autopilots' actions for both their driver and other drivers.
 
|Abstract=As self-driving cars have grown in sophistication and ability, they have been deployed on the road in both localised tests and as regular private vehicles. In this paper we draw upon publicly available videos of autonomous and assisted driving (specifically the Tesla autopilot and Google self-driving car) to explore how their drivers and the drivers of other cars interact with, and make sense of, the actions of these cars. Our findings provide an early perspective on human interaction with new forms of driving involving assisted-car drivers, autonomous vehicles and other road users. The focus is on social interaction on the road, and how drivers communicate through, and interpret, the movement of cars. We provide suggestions toward increasing the transparency of autopilots' actions for both their driver and other drivers.
 
}}
 
}}

Latest revision as of 09:22, 8 February 2019

BrownLaurier2017
BibType INPROCEEDINGS
Key BrownLaurier2017
Author(s) Barry Brown, Eric Laurier
Title The Trouble with Autopilots
Editor(s)
Tag(s) Car driving, EMCA
Publisher
Year 2017
Language English
City
Month
Journal Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems - CHI '17
Volume
Number
Pages 416–429
URL Link
DOI 10.1145/3025453.3025462
ISBN 9781450346559
Organization
Institution
School
Type
Edition
Series
Howpublished
Book title
Chapter

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Abstract

As self-driving cars have grown in sophistication and ability, they have been deployed on the road in both localised tests and as regular private vehicles. In this paper we draw upon publicly available videos of autonomous and assisted driving (specifically the Tesla autopilot and Google self-driving car) to explore how their drivers and the drivers of other cars interact with, and make sense of, the actions of these cars. Our findings provide an early perspective on human interaction with new forms of driving involving assisted-car drivers, autonomous vehicles and other road users. The focus is on social interaction on the road, and how drivers communicate through, and interpret, the movement of cars. We provide suggestions toward increasing the transparency of autopilots' actions for both their driver and other drivers.

Notes