5. Discussion and conclusion
The research made an important theoretical contribution by informing understanding on the key factors impacting on trust in driverless cars. It does so by integrating the literatures on technology adoption and driverless cars. In so doing, it identified key factors influencing driverless car adoption including performance expectancy, reliability, security, privacy and trust. The research identified the situations when people are most likely to adopt driverless cars. These included closed environments, finding a carpark, public transport with a chaperone and on highways where drivers can then take full control. This research had a focus on closed environments. Specifically, it surveyed students and staff in a university campus where driverless cars will soon be implemented to transport passengers to the nearly train and bus stops. Unlike previous research which evaluated trust throughout an entire nation, this research makes an important contribution in focusing particularly on a closed environment. This has important implications for the implementation, messaging and strategies to boost the use of such cars in these closed environments.
