Abstract / Description of output
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.
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.
Original language | English |
---|---|
Title of host publication | CHI '17: Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems |
Place of Publication | Denver, CO, USA |
Pages | 416–429 |
DOIs | |
Publication status | Published - 11 May 2017 |
Fingerprint
Dive into the research topics of 'The trouble with autopilots: Assisted and autonomous driving on the social road'. Together they form a unique fingerprint.Profiles
-
Eric Laurier
- School of Geosciences - Personal Chair of Geography & Interaction
Person: Academic: Research Active