Can We Study Autonomous Driving Comfort in Moving-Base Driving Simulators? A Validation Study. (May 2017)

• Record Type: Journal Article
• Authors: Bellem, Hanna; Klüver, Malte; Schrauf, Michael; Schöner, Hans-Peter; Hecht, Heiko; Krems, Josef F.
• Is Part Of: Human factors. Volume 59:Number 3(2017)
• Page Start: 442
• Page End: 456
• Publication Date: 2017-05
• Subjects: vehicle automation -- autonomous driving -- multisensory integration -- immersive environments -- virtual environments -- trust in automation -- vehicle design -- usability/acceptance measurement and research -- driving simulation -- behavioral validity -- visual-vestibular integration; Human engineering -- Periodicals; 620.82
• DOI: 10.1177/0018720816682647
• Languages: English
• ISSNs: 0018-7208

Abstract

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.