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