CIAV2022 International Workshop on Comfort Intelligence with AR for Autonomous Vehicle 2022


Date: 13:00-16:00 17th October
Room: Waterfront 1 – L2

13:00 - 13:10
13:10 - 14:00
Regular paper session

Video Generation Unconsciously Evoking Pre-Motion to Passengers in Automated Vehicles
Kazuki Shimada, Taishi Sawabe, Hidehiko Shishido, Masayuki Kanbara and Itaru Kitahara
This paper aims to propose a video generation and display method to reduce acceleration stimulus for the passenger in automated ve-hicles by making him/her perceive the vehicle’s behavior change in advance with evoking pre-motion to passengers. In automated driv-ing, it is difficult to predict the acceleration stimulus that arises due to the vehicle’s behavior change. As a result, motion sickness is led. Our method tries to solve the problem by displaying videos to con-trol the passenger’s motive perception. The experiments are con-ducted by displaying an omnidirectional video which the projection surface is deformed according to the acceleration of a passenger on an electric wheelchair. As a result, the deformation reduced the per-ception of acceleration and deceleration is confirmed.

Diminished Reality for Sense of Movement with XR Mobility Platform
Taishi Sawabe, Yosuke Okami, Masayuki Kanbara Yuichiro Fujimoto and Hirokazu Kato
This paper proposes a method to reduce a sense of movement by controlling a passenger’s sense of movement using a multimodal XR system mounted on an autonomous vehicle. The passenger should not be given the sense of movement from the accelerating stimulus, in order to make the space comfortable during self-driving. In the field of VR, technologies have been developed to simulate a sense of movement that does not occur, such as in a driving simulator. However, the purpose of this paper is to solve the inverse problem to reduce the sense of movement generated by real autonomous driving. By using a multimodal XR mobility platform that consists of an immersive display and a motion platform with a tilting seat, we develop a state-of-the-art method to reduce the passenger’s perceived sense of movement. This method enables one to perceive the vehicle as if they are not moving, even though they are in automated driving. In the experiments, we evaluated 20 participants under the condition of the combination of visual and force acceleration stimuli. From experimental results, it was confirmed that the sense of movement was reduced significantly when both visual and force acceleration stimuli were not presented in the condition.

14:00 - 14:10

14:10 - 15:00
Organized session

Towards Autonomous Comfortable Personal Mobility Vehicles
Luis Yoichi Morales
Nagoya University (Standard Cognition)
The use of robot technology such as personal mobility vehicles is crucial to provide services for super-aging societies. A social issue in current robotic wheelchairs is the lack of passenger and pedestrian comfort considerations. In this presentation I present experimental work done with participants to explore and mitigate discomfort effects for the passenger and pedestrians around the autonomous vehicle.

Autonomous Vehicles and Us: Immersion, Emotion and Attitudes with on Board Physiological Measurements
Zsolt Palatinus
University of Szeged, Institute of Psychology (AV Readiness Research Group)

15:00 - 15:10

15:10 - 15:50
Invited Talk

Cyriel Diels more information
(Royal College of Art,Intelligent Mobility Design Centre)
Talk title:
Designing for motion comfort in AVs:Mitigation strategies and the need for common protocols more information

 Motion discomfort in Automated Vehicles (AV) will negatively impact the passenger experience and, ultimately, public acceptance. Minimising or avoiding motion discomfort therefore becomes a strategic design goal. In this presentation, several recent test track and lab studies into mitigation strategies will be discussed to i) explore the possible role of AR/VR in alleviating or exacerbating motion discomfort, and ii) highlight the need for common protocols to accelerate our knowledge in this field.   
15:50 - 16:00