A new survey reveals that 10% of Brits would have sex during a commute in a fully autonomous car. The OnePoll survey, conducted by webuyanycar.com, asked 2000 UK motorists who currently drive to and from work what they would do during a commute in a fully autonomous car.
The results reveal that 1 in ten motorists would have sex whilst commuting in a fully autonomous. This response was highest amongst men and young adults.
According to the results, men are twice as likely (13%) to have sex whilst commuting in a driverless car compared to women (7%).
When breaking the responses down by age, the survey reveals that millennials are most likely to have sex during a commute in a fully autonomous car. 1 in 10 respondents aged between 18 and 24 said that they would have sex in a driverless car, compared to only 1 in 20 respondents aged between 35 and 44.
When looking at the results by region, respondents in London and the West Midlands are most likely to have sex during a commute in a fully autonomous car. A total of 8% of respondents in London and 7% in the West Midlands said that they would have sex in a driverless car.
Richard Evans, the head of Technical Services at WBAC said “We knew that fully autonomous cars would provide motorists with free time during their commute, so we conducted this survey to see how they would use it. We were surprised by the number of respondents who said that they would have sex during a commute in a driverless car.”
Notes to Editors:
The raw survey data that includes age, gender and region demographics can be provided upon request.
webuyanycar.com is the UK's largest car buying service. They specialise in providing customers with a simple three step solution for selling their car without the need for a dealer or selling privately. webuyanycar.com have over 200 branches nationwide and have bought over 1 million cars.
OnePoll is a marketing research company specialising in online quantitative research and polling. OnePoll delivers consumer and B2B research, specialising in PR surveys and online quantitative research.