Can We Study Autonomous Driving Comfort in Moving-Base Driving Simulators? A Validation Study

• Published in: Human factors 2017-05, Vol.59 (3), p.442-456
• Main Authors: Bellem, Hanna, Klüver, Malte, Schrauf, Michael, Schöner, Hans-Peter, Hecht, Heiko, Krems, Josef F.
• Format: Article
• Language: English
• Subjects: Acceleration; Adult; Automation; Automation - instrumentation; Automobile Driving; Autonomous vehicles; Comfort; Computer Simulation; Cues; Deceleration; Driving; Driving ability; Driving conditions; Equipment Design; Female; Humans; Male; Maneuvers; Middle Aged; Parameterization; Reproducibility of Results; Research Design; Scaling; Scaling factors; Simulation; Simulators; Space life sciences; Validation studies; Validity; Virtual environments; Young Adult
• ISSN: 0018-7208; 1547-8181
• DOI: 10.1177/0018720816682647

Objective: To lay the basis of studying autonomous driving comfort using driving simulators, we assessed the behavioral validity of two moving-base simulator configurations by contrasting them with a test-track setting. Background: With increasing level of automation, driving comfort becomes increasingly important. Simulators provide a safe environment to study perceived comfort in autonomous driving. To date, however, no studies were conducted in relation to comfort in autonomous driving to determine the extent to which results from simulator studies can be transferred to on-road driving conditions. Method: Participants (N = 72) experienced six differently parameterized lane-change and deceleration maneuvers and subsequently rated the comfort of each scenario. One group of participants experienced the maneuvers on a test-track setting, whereas two other groups experienced them in one of two moving-base simulator configurations. Results: We could demonstrate relative and absolute validity for one of the two simulator configurations. Subsequent analyses revealed that the validity of the simulator highly depends on the parameterization of the motion system. Conclusion: Moving-base simulation can be a useful research tool to study driving comfort in autonomous vehicles. However, our results point at a preference for subunity scaling factors for both lateral and longitudinal motion cues, which might be explained by an underestimation of speed in virtual environments. Application: In line with previous studies, we recommend lateral- and longitudinal-motion scaling factors of approximately 50% to 60% in order to obtain valid results for both active and passive driving tasks.