Based on Lewin's field theory, we advanced a computational modelĬombining signal detection theory with pre-trained language models to predict We further investigated how human passengers ascribe humanness InĬontrast, when the human driver drove the car, the passengers' judgement wasĪround chance. To pass our test because passengers detected the AI driver above chance. Participants rode in autonomous cars (driven by either human or AI drivers) asĪ passenger and judged whether the driver was human or AI. We designed a rideĮxperience-based version of the non-verbal Turing test for automated driving. Whether the AI driver could create a human-like ride experience for passengersīased on 69 participants' feedback in a real-road scenario. To examine the humanness of current autonomous cars. Research offers the naturalistic experience from a passenger's seat perspective Although existing literature highlights that the acceptance of theĪutonomous car will increase if it drives in a human-like manner, sparse Download a PDF of the paper titled Towards human-compatible autonomous car: A study of non-verbal Turing test in automated driving with affective transition modelling, by Zhaoning Li and 6 other authors Download PDF Abstract: Autonomous cars are indispensable when humans go further down the hands-free
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