Print Email Facebook Twitter Reducing Motion Sickness by Manipulating an Autonomous Vehicle's Accelerations Title Reducing Motion Sickness by Manipulating an Autonomous Vehicle's Accelerations Author Wijlens, R. (TU Delft Control & Simulation) van Paassen, M.M. (TU Delft Control & Simulation) Mulder, Max (TU Delft Control & Simulation) Takamatsu, Atsushi (Nissan Motor Co., Ltd.) Makita, Mitsuhiro (Nissan Motor Co., Ltd.) Wada, Takahiro (Nara Institute of Science and Technology) Date 2022 Abstract Without intervention the widespread adoption of autonomous vehicles could be compromised by an increased incidence of motion sickness compared to conventional cars. To investigate whether passengers' motion sickness can be reduced by manipulating an autonomous vehicle's accelerations on a fixed route without altering the travel time, a human-out-of-the-loop experiment was performed in the SIMONA Research Simulator at Delft University of Technology. The experiment consisted of two different driving conditions, in which an identical 22-km road including 52 curves was travelled in 30 minutes. Condition 1 comprised larger longitudinal, but smaller lateral, acceleration values compared to Condition 2. Experimental results suggested that Condition 1 resulted in more severe motion sickness than Condition 2, with fitted learning curves providing final MIsery SCale scores of 1.19 vs. 0.80. A similar relative difference between the two conditions had been predicted by the 6-DOF Subjective Vertical Conflict model. Hence, this model has the potential to, once further developed, support the design of autonomous vehicles by reducing the need to perform costly, time-consuming experiments. Subject autonomous vehiclesdrivingmitigationmodelingmotion sickness To reference this document use: http://resolver.tudelft.nl/uuid:8b646b74-5416-48ba-b20b-5dc082fb22d5 DOI https://doi.org/10.1016/j.ifacol.2022.10.244 ISSN 1474-6670 Source IFAC-PapersOnLine, 55 (29), 132-137 Event 15th IFAC Symposium on Analysis, Design and Evaluation of Human Machine Systems, HMS 2022, 2022-09-12 → 2022-09-15, San Jose, United States Part of collection Institutional Repository Document type journal article Rights © 2022 R. Wijlens, M.M. van Paassen, Max Mulder, Atsushi Takamatsu, Mitsuhiro Makita, Takahiro Wada Files PDF 1_s2.0_S2405896322022716_main.pdf 550.88 KB Close viewer /islandora/object/uuid:8b646b74-5416-48ba-b20b-5dc082fb22d5/datastream/OBJ/view