Affiliations: [a] Department of Engineering School of Science and Technology, Nottingham Trent University, UK
| [b] University Institute of Engineering and Technology, Panjab University, Chandigarh, India
Correspondence:
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Address for correspondence: Neil Mansfield, Department of Engineering School of Science and Technology, Nottingham Trent University, UK. E-mail: [email protected].
Abstract: BACKGROUND:Autonomous vehicles can be classified on a scale of automation from 0 to 5, where level 0 corresponds to vehicles that have no automation to level 5 where the vehicle is fully autonomous and it is not possible for the human occupant to take control. At level 2, the driver needs to retain attention as they are in control of at least some systems. Level 3-4 vehicles are capable of full control but the human occupant might be required to, or desire to, intervene in some circumstances. This means that there could be extended periods of time where the driver is relaxed, but other periods of time when they need to drive. OBJECTIVE:The seat must therefore be designed to be comfortable in at least two different types of use case. METHODS:This driving simulator study compares the comfort experienced in a seat from a production hybrid vehicle whilst being used in a manual driving mode and in autonomous mode for a range of postures. RESULTS:It highlights how discomfort is worse for cases where the posture is non-optimal for the task. It also investigates the design of head and neckrests to mitigate neck discomfort, and shows that a well-designed neckrest is beneficial for drivers in autonomous mode.
