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Negotiating the Traffic: Can Cognitive Science Help Make Autonomous Vehicles a Reality?
Nick Chater1, Jennifer Misyak1, Derrick Watson2
1Behavioural Science Group, Warwick Business School, University of Warwick, Coventry, CV4 7AL, UK.
Autonomous vehicles must replicate human driving for safety, especially in complex social interactions on roads. This research explores how autonomous driving can advance computational social science and vehicle development.
Area of Science:
- Robotics
- Cognitive Science
- Human-Computer Interaction
Background:
- Safe integration of autonomous vehicles (AVs) requires interaction with human drivers, cyclists, and pedestrians.
- Driving involves complex joint actions and social negotiation over shared road space.
Purpose of the Study:
- To investigate autonomous driving as a test case for computational theories of social interaction.
- To highlight the implications of social interaction research for autonomous vehicle development.
Main Methods:
- Conceptual analysis of driving as a social negotiation problem.
- Framework development for computational social interaction models applicable to AVs.
Main Results:
- Autonomous driving necessitates the development of sophisticated social negotiation capabilities.
- The challenges of AV interaction provide a unique empirical ground for social science theories.
Conclusions:
- Autonomous driving research can significantly advance computational theories of social interaction.
- Addressing social interaction is fundamental for the successful development and deployment of autonomous vehicles.
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