This paper proposes a method for prompting drivers’ spatial attention by presenting visual cue in their peripheral visual field. Computer-generated images of forward-facing driving scenes were projected on a screen 6 m wide and 1.8 m high, with a 140° viewing angle. The gaze movement of subjects was measured when hazardous events were presented, such as cardboard boxes collapsing onto the road or a child running out into the road. The task defined for the subjects was to detect visual cue presented in their central visual field while observing the driving scene in front of them. A preceding visual cue was presented in the right and left visual fields, at a visual angle of 10° to 40°, for 1–5 s in advance of the visual cue presented in the center of the visual field. The detection time for the visual cue in the central visual field was then measured. The results of the experiments conducted with six subjects revealed two types of gaze movement patterns with respect to a hazardous event. In one type, the subjects broadly captured the overall scene without shifting their gaze markedly; in the other type, the subjects sequentially scanned the scene and fixed their gaze on the hazardous event when it occurred. The former type tended to be seen in subjects with long driving experience. It was also found that presenting visual cue in the peripheral visual field quickened recognition of the visual cue in the central visual field. By varying the viewing angle at which the preceding cue was presented in the peripheral visual field and the time interval between the presentation of the preceding cue and the detection cue in the central visual field, conditions were found for assisting prompt detection of the latter visual cue.

1. [1] H. Kishi, M. Akamatsu, and T. Endo, “Consideration of driving readiness during automated driving – Time prediction to regain driving control, using driver’s visual behavior metric and task demand –,” JSAE Congress Proc., pp. 472-477, 20166090, 2016.
2. [2] S. Sajan and G. G. Ray, “Human Factors in Safe Driving – A Review of Literature on Systems Perspective,” 2012 IEEE Global Humanitarian Technology Conf., pp. 128-133, 2012.
3. [3] H. Takahashi and H. Honda, “A Study on the Possibility of Applying Subliminal Visual Cue for Guiding Subject’s Attention,” J. Adv. Comput. Intell. Intell. Inform., Vol.16, No.1, pp. 96-107, 2012.
4. [4] H. Takahashi and H. 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.
5. [5] H. Okumura, “Current and future views of flat panel display,” The Institute of Electronics, Information and Communication Engineers Technical Report. Circuits and Systems, Vol.104, No.556, pp. 19-24, 2005.
6. [6] A. Heijl, G. Lindgren, and J. Olsson, “Normal variability of static perimetric threshold values across the central visual field,” Archives of ophthalmology, Vol.105, No.11, pp. 1544-1549, 1987.
7. [7] E. M. Rantanen and J. H. Goldberg, “The effect of mental workload on the visual field size and shape,” Ergonomics, Vol.42, No.6, pp. 816-834, 1999.
8. [8] T. Fukuda, “The Functional Difference Between Central and Peripheral Vision in Motion Perception,” The J. of the Institute of Television Engineers of Japan, Vol.33, No.6, pp. 479-484, 1979 (in Japanese).
9. [9] H. H. Yu, T. A. Chaplin, R. Verma et al., “A specialized area in limbic cortex for fast analysis of peripheral Vision,” Current Biology, Vol.22, pp. 1351-1357, 2012.
10. [10] M. Shimura, H. Suzuki, Y. Shimomura et al., “Perception of Visual Motion Stimulation in Peripheral Vision During Eye Fixation,” Japan Society of Physiological Anthropology, Vol.20, No.2, pp. 95-102, 2015 (in Japanese).
11. [11] M. Funakawa and H. Nemoto, “Ambient Information Display for Peripheral Vision (in japanese),” J. of Society of Automotive Engineers of Japan, Vol.64, No.10, pp. 85-89, 2010.
12. [12] J. Wu, S. Miyamoto, T. Kochiyama et al., “Measurement of the Effect of Aging on the Kinetic Visual Field and Examination of Its Application to Traffic Safety,” IATSS Review, Vol.34, No.3, pp. 317-325, 2009 (in Japanese).
13. [13] H. Takahashi, “A Study on Guiding an Attention Direction of a Driver by an Ambient Visual Mark,” J. Adv. Comput. Intell. Intell. Inform., Vol.18, No.6, pp. 875-887, 2014.
14. [14] E. M. Rantanen and J. H. Goldberg, “The effect of mental workload on the visual field size and shape,” Ergonomics, Vol.42, No.6, pp. 816-834, 1999.
15. [15] SAE J3016, “Surface Vehicle Recommended Practice: Taxonomy and Definitions for Terms Related to Driving Automation Systems for On-Road Motor Vehicles,” Warrendale, PA: SAE Int., 2016.
16. [16] M. I. Posner, “Orienting of attention,” Q. J. Exp. Psychol., Vol.32, No.1, pp. 3-25, 1980.
17. [17] Y. Ohyma and H. Ishigaki, “A Study on the Periphery Visual Reaction Time orer a Moring Spot Light Mark,” AIT Associated Repository of Academic Resources, Vol.13, pp. 25-29, 1978 (in Japanese).
18. [18] H. Takahashi, “Visual Cue in Peripheral Vision Field for Driving Support System,” J. Adv. Comput. Intell. Intell. Inform., Vol.21, No.3, pp. 543-558, 2017.