The Influence of Dynamic Signs on Cyclists’ Braking Rates: A Systematic Study Using Immersive Virtual Reality
- 1 Human Informatics Research Institute, National Institute of Advanced Industrial Science and Technology, Tsukuba, Japan
- 2 Human Informatics Research Institute, National Institute of Advanced Industrial Science and Technology, Tsukuba, Japan
- 3 Human Informatics Research Institute, National Institute of Advanced Industrial Science and Technology, Tsukuba, Japan
- 4 Industrial Design Center, Mitsubishi Electric Corporation, Kamakura, Japan
- 5 Industrial Design Center, Mitsubishi Electric Corporation, Kamakura, Japan
- 6 Industrial Design Center, Mitsubishi Electric Corporation, Kamakura, Japan
Abstract
Dynamic signs are signs that incorporate movement and are projected from a vehicle toward pedestrians or on the wall or floor of a public facility. Projection-based signage systems that are easy to install and move are becoming increasingly practical as a result of recent improvements in projector technology, and there is a need to accumulate knowledge on such signs and their interactions with people from an ergonomic perspective. This paper studies dynamic signs projected from parked cars (these signs warn that the car is about to reverse or open a door) with the goal to clarify the influence of these dynamic signs on the braking behavior of cyclists riding near the cars. In an experiment, we placed several parked cars in an immersive virtual reality space and created a system that allowed participants to move through the virtual space by steering a real bicycle. As participants rode past the row of parked cars, they took evasive actions to avoid a collision by actually operating the brake and handlebar in response to signs projected from cars warning that the car was about to reverse or open a door. For the experimental conditions, we looked at participant age groups, the method used to display the signs, and the timing of displaying the sign. The results suggest that the various experimental conditions produce different effects, and our discussion focuses on brake selection rates as a measure of cyclists’ responses to events.
- Adachi, Y., Harada, E., Suto, S., Kumada, T., & Fujiwara, T. (2014). Cognitive Aging and Usage of Novel Artifact: A Database Analysis of the Center for Usability and Aging Research (CUAR) on a Usability Testing of Automatic Coffeemaker. Cognitive Studies, 21, 83-99. (In Japanese)
- Aledo. (2017). Projection of Light Symbols. http://en.aledo.cz/projection-of-light-symbols-and-signs
- Balk, S. A., Bertola, M. A., & Inman V. W. (2013). Simulator Sickness Questionnaire: Twenty Years Later. Proceedings of the Seventh International Driving Symposium on Human Factors in Driver Assessment, Training, and Vehicle Design, USA, 257-263.
- Brown, I. D., & Groger, J. A. (1988). Risk Perception and Decision Taking during the Transition between Novice and Experienced Driver Status. Ergonomics, 31, 585-597.
- Cycle Street City Multi-Purpose Virtual Cycling System. (2016). http://flovel-sports.jp/technosports/cycle/cyclestreet_city/
- Design Collector. (2012). Interactive Navigation by SILA. http://designcollector.net/likes/interactive-navigation-by-sila
- Ecolight. (2016). Projected Floor Marking. http://www.gobo-projector.eu/news/february-18th-2016
- Folstein, M. F., Folstein, S. E., & McHugh, P. R. (1975). Mini-Mental State, a Practical Method for Grading the Cognitive State of Patients for the Clinician. Journal of Psychiatric Research, 12, 189-198.
- Institute for Traffic Accident Research and Data Analysis. (2015). Traffic Accident Analysis Report (No. 115). Tokyo. (In Japanese)
- Institute for Traffic Accident Research and Data Analysis. (2016). Traffic Accident Analysis Report (No. 114). Tokyo. (In Japanese)
- Jackson, G. R., Owsley, C., & McGwin, G. Jr. (1999). Aging and Dark Adaptation. Vision Research, 39, 3975-3982.
- Kennedy, R. S., Lane, N. E., Berbaum, K. S., & Lilienthal, M. G. (1993). Simulator Sickness Questionnaire (SSQ): A New Method for Quantifying Simulator Sickness. International Journal of Aviation Psychology, 3, 203-220. https://doi.org/10.1207/s15327108ijap0303_3
- Landscape + Urbanism (2010). Smart Wayfinding. http://landscapeandurbanism.blogspot.jp/2010/03/smart-wayfinding.html
- Laservision (n.d.). Activated 8 Times in 8 Weeks, with 100% Success! http://www.laservision.com.au/portfolio/softstop/
- Sakata, R., Matsubara, T., Watanabe, H., Ito, N., & Ujike, H. (2016). Visibility of “Dynamic Signs” Used to Signal Open Vehicle Doors and Their Effect on Avoidance Action. Poster Session Presented at the 6th International Conference for Universal Design, Nagoya.