JACIII Vol.16 No.1 pp. 117-123
doi: 10.20965/jaciii.2012.p0117


A Study on the Change of Operation of Driving Video Game Under Ultrasound Exposure

Hiroshi Takahashi and Hirohiko Honda

Shonan Institute of Technology, 1-1-25 Tsujido-Nishikaigan, Fujisawa, Kanagawa 251-8511, Japan

May 23, 2011
October 17, 2011
January 20, 2012
driving video game, human machine interaction, ultrasound signal, maneuver, driver assistance system

This paper presents a preliminary study on the influences on an operator’s maneuver by the ultrasound signal. The lap time of driving computer video game course, that is, the performance index of operation, is measured for each subject with or without ultrasound signal exposure. Results show that the operational characteristics of several subjects are changed by the ultrasound environment. Subjects tend to concentrate on handling the driving and decreasing an attention to check the over speed driving during ultrasound exposure. We discuss the relationship between the ultrasound signal and the operator’s behavior.

Cite this article as:
Hiroshi Takahashi and Hirohiko Honda, “A Study on the Change of Operation of Driving Video Game Under Ultrasound Exposure,” J. Adv. Comput. Intell. Intell. Inform., Vol.16, No.1, pp. 117-123, 2012.
Data files:
  1. [1] D. Bruin, J. Kroon, R. Klaveren et al, “Design and Test of a Cooperative Adaptive Cruise Control System,” Proc. of 2004 IEEE Intelligent Vehicles Symposium, pp. 392-396, 2004.
  2. [2] S. Ishida et al., “Development, Evaluation and Introduction of a Lane Keeping Assistance System,” Proc. of 2004 IEEE Intelligent Vehicles Symposium, pp. 943-945, 2004.
  3. [3] F. Tsuji et al., “Development of a Support System for Nighttime Recognition of Pedestrians,” Preprint of JSAE Scientific Lecture Series, 20055287, 2005.
  4. [4] Y. Sato and E. Kato, “An estimation of the hazard-controllability of Distance Warning System (DWS’s) for motor vehicles,” Int. Symposium on Automobile Technique & Automation, 94SF009, pp. 81-88, 1994.
  5. [5] A. Ishibashi, “Human Factors and Error Countermeasures,” J. of National Institute of Public Health, Vol.51, No.4, pp. 232-244, 2002.
  6. [6] G. J. S. Wilde, “Target Risk 2: A New Psychology of Safety and Health,” Pde Pubns, 2001.
  7. [7] M. Kokubun et al., “Analysis of Drivers’ Risk Sensitivity Characteristics,” Trans. of the Human Interface Society, Vol.5, No.1, pp. 27-36, 2003.
  8. [8] H. Honda, “Science of consciousness/unconsciousness,” Fukumura, Hokkaido, 2000.
  9. [9] M. Zimmermann, “Neurophysiology of Sensory Systems,” pp. 68-166, 1977.
  10. [10] J. Karremans, “Beyond vicary’s fantasies: the impact of subliminal priming and brand choice [Electronic Version],” J. of Experimental Social Psychology, Vol.42, pp. 792-798, 2006.
  11. [11] T. Norretranders, “The User illusion :Cutting Consciousness Down to Size,” Penguin Groupe (USA), 1999.
  12. [12] I. Hagiwara, “An environmental problem from “a brain”,” The monthly journal of global environment, Vol.39, No.5, pp. 88-90, 2008.
  13. [13] R. Yagi, E. Nishina, and T. Oohashi, “A method for behavioral evaluation of the “hypersonic effect”,” Acoustical Science and Technology, Vol.24, No.4, pp. 197-200, 2003.
  14. [14] Y. Okamoto, Y. Fukushima, T. Sakaguchi et al., “The effect of Sound field containing the Supersonic wave on the Psychophysiological condition,” Technical report of IEICE. EA, Vol.103, No.252, pp. 51-58, 2003.
  15. [15] H. Takahashi et al., “A Study on Predicting Hazard Factors for Safe Driving,” IEEE Trans. on Industrial Electronics, Vol.54, No.2, pp. 781-789, 2007.

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