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HumanDrive Human Factors white paper released

A white paper focusing on measuring user’s comfort in autonomous vehicles has been written by Ellie Wooldridge and Jamie Chan-Pensley from our Human Factors team.

The title of the paper is ‘Measuring User’s Comfort in Autonomous Vehicles’ and is based upon a literature review of research in this area and the Human Factors team’s own live trial experiences.

One of the primary outputs from the HumanDrive project was the development of an Advanced Control System (ACS) (by Nissan and Hitachi) that was designed such that the autonomous vehicle would emulate a natural, human-like driving style. During the course of the project Human Factors based research was carried out by the University of Leeds, Connected Places Catapult and Cranfield University to evaluate the ACS in real-world and simulator based trials so as to gain insights into the perceived naturalness, comfort and safety of the system under evaluation. These attributes were measured during, and post experiencing, AV driving styles, via think aloud protocols, questionnaires and real time participant feedback. The evaluations also considered how personality traits and personal driving style might influence perceptions of AV driving styles.

The HumanDrive project outputs complement a growing body of research exploring ride comfort in the context of AVs. The investigation of ride comfort should be mindful of the occupant’s expectations between the expected and actual driving style of the AV; the experienced loss of physical control of the vehicle; the potential for engagement in non-driving related tasks, and the creation of more novel seating configurations, which all alter the experience of riding in an AV, compared to conventional vehicle ride comfort.

To read the full white paper and to find out more about the HumanDrive project visit the website here.

 

Read the white paper here

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