The Influence of Gender and Age on the Visual Codes Working Memory and the Display Duration – A Case Study of Fencers

  • Chih-Lin Chang
  • Kai-Way Li
  • Yung-Tsan Jou
  • Hsu-Chang Pan
  • Tai-Yen Hsu
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5639)

Abstract

This research discusses the influence of code colors and duration of display to the corrective rate of visual codes working memory and the Critical Fusion Frequency (CFF) value in different gender and two age groups (high school and university). The results showed that gender has a certain effect upon the corrective rate of the visual codes working memory and on the CFF ratios. Moreover, female fencers’ CFF ratios were higher than the male fencers’. The high school participants’ CFF ratios were obviously higher than the college participants’. The color of display has a significant effect on the corrective rate of visual codes working memory. Evidence showed that the duration time of display affected the corrective rate of the visual codes working memory. The code duration of display of 0.3 second had the highest corrective rate of visual codes working memory.

Keywords

duration of display visual codes working memory Critical Fusion Frequency (CFF) value color of display 

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    Zhang, H.L.: Anxiety, attention and exercise score. Chinese Sports Quarterly 11(3), 5–11 (1997) (in Chinese)Google Scholar
  2. 2.
    Qiu, X.X., Liu, C.G.: Exploration on application and importance of attention in sports context. Chinese Sports Quarterly 18(4), 74–80 (2004) (in Chinese)Google Scholar
  3. 3.
    Classe, J.G., Semes, L.P., Daum, K.M., Nowakowski, R.L., Alexander, J., Wisniewski, J., Beisel, J.A., Mann, K., Rutstein, R., Smith, M., Bartolucci, A.: Association between visual reaction time and batting, fielding, and earned run averages among players of the Southern Baseball League. Journal of the American Optometric Association 68(1), 43–49 (1997)Google Scholar
  4. 4.
    Fujishiro, H., Mashimo, I., Ishigaki, H., Edeagawa, H., Endoh, F., Nakazato, K., Nakajima, H.: Visual Function of collegiate American Football Players in Japan. In: 13th Asian Games Scientific Congress (1998)Google Scholar
  5. 5.
    Tsai, T.B.: The faculty train of sport vision for volleyball athletes. Science of Volleyball coaching, 25–30 (2003)Google Scholar
  6. 6.
    Loran, D.F., MacEwen, C.J.: Sport vision. Butterworth-Heinemann, Boston (1997)Google Scholar
  7. 7.
    Olsen, E.: Relationships between psychological capacities a success in college athletics. Research Quarterly 27, 79–89 (1956)Google Scholar
  8. 8.
    Stroup, F.: Relationship between measurements of field of motion perception and basketball ability in college men. Research Quarterly 28, 72–75 (1957)Google Scholar
  9. 9.
    Ridini, L.: Relationships between psychological function, test and selected sports skills of boys in junior high school. Research Quarterly 39, 674–683 (1968); Iwasaki, T., Kurimoto, S., Noro, K.: The Changes in colour flicker fusion (CFF) values and accommodation times during experimental repetitive tasks with CRT display screens. Ergonomics 32(3), 293–305 (1989)Google Scholar
  10. 10.
    Landers, D., Boutcher, C., Wang, Q.: A psychological study of archery performance. Research Quarterly for Exercise and Sport 57, 236–244 (1986)CrossRefGoogle Scholar
  11. 11.
    Abernethy, B.: Visual characteristics of clay target shooters. Journal of Science and Medicine in Sport 2(1), 1–19 (1999)CrossRefGoogle Scholar
  12. 12.
    Chang, H.L.: Athlete Training on Attentiveness - Sports Related Methodology. Physical Education at School 31, 160–167 (1997)Google Scholar
  13. 13.
    Yuan, W.M., Chang, C., Hsiao, T.: Fencing (in Chinese). People of Physical Education Publication, Ltd., Beijing (1998)Google Scholar
  14. 14.
    Tinker, M.A., Paterson, D.G.: Studies of typographical factors influencing speed of reading: Variations in color of print and background. Journal of Applied Psychology 15, 471–479 (1981)CrossRefGoogle Scholar
  15. 15.
    Zhu, Z.X., Cao, L.R.: The impact of object-background color matching on the color CRT display effectiveness. Psychology Journal (in Chinese) 26(2), 128–134 (1994)Google Scholar
  16. 16.
    Long, G.M., Johnson, D.M.: A comparison between methods for assessing the resolution of moving targets (dynamic visual acuity). Perception 25(12), 1389–1399 (1996)CrossRefGoogle Scholar
  17. 17.
    Ishigaki, H., Miyao, M.: Implications for dynamic visual acuity with changes in age and sex. Perceptual and motor skills 78, 1049–1050 (1994)CrossRefGoogle Scholar
  18. 18.
    Saito, S., Hosokawa, T.: Basic study of the VRT (visual reaction test): the effects of illumination and luminance. International Journal of Human-Computer Interaction 3(3), 311–316 (1991)CrossRefGoogle Scholar
  19. 19.
    ANSI/HFS 100-1998: American National Standard for Human factors Engineering of visual display terminal workstations. Human factors Society, Inc., Santa Monica, California (1998)Google Scholar
  20. 20.
    Chang, C. L., Lin, F. T., Li, K. W., Jou, Y. T., Hsu, T. Y.: The Study of the Impact of Environmental Illuminance on the Visual Codes Working Memory during a Fencing Game. In: 2009 IEEE International Conference on Networking, Sensing and Control (2009) (accepted)Google Scholar
  21. 21.
    Oohira, A.: Eye strain and foveal CFF in VDT work. Japanese Ophthalmology 57(12), 1318–1319 (1986)Google Scholar
  22. 22.
    Aoki, K., Yamanoi, N., Aoki, M., Horie, Y.: A study on the change of visual function in CRT display task. In: Salvendy, G. (ed.) Human-Computer Interaction, pp. 465–468. Elsevier, Amsterdam (1984)Google Scholar
  23. 23.
    Nishiyama, K.: Ergonomic aspects of the health and safety of VDT work in Japan: a review. Ergonomics 33, 659–685 (1990)CrossRefGoogle Scholar
  24. 24.
    Iwasaki, T., Kurimoto, S., Noro, K.: The Changes in colour flicker fusion (CFF) values and accommodation times during experimental repetitive tasks with CRT display screens. Ergonomics 32(3), 293–305 (1989)CrossRefGoogle Scholar
  25. 25.
    Ge, S.Q., Wu, G.C., Xu, X.H., Yao, Y.X., Du, X.Q., Jin, L.J.: The impact of flight fatigue on visual integration for civil flight personnel with different age groups. China Aviation & Aerospace Medical Journal (in Chinese) 16(3), 180–183 (2005)Google Scholar
  26. 26.
    Nomiyama, K., Okubo, T., Nomiyama, H.: Characteristics of fatigue tests by a long- term observation. Japanese journal of Hygiene 39, 831–840 (1984)CrossRefGoogle Scholar
  27. 27.
    Marek, T., Noworol, C.: Bi-point flicker research and self0-ratings of mental and visual fatigue of VDT operators. In: Asfour, S.S. (ed.) Trends in Ergonomics/Human Factors IV, pp. 163–168. Elsevier, North-Holland (1987)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Chih-Lin Chang
    • 1
  • Kai-Way Li
    • 2
  • Yung-Tsan Jou
    • 3
  • Hsu-Chang Pan
    • 4
  • Tai-Yen Hsu
    • 5
  1. 1.General Education Center, Hsiu Ping Institute of Technology,Taiwan Institute of Technology managementChung Hua UniversityTaiwan
  2. 2.Department of Industrial Engineering & System ManagementChung Hua UniversityHsin-Chiu CityTaiwan
  3. 3.Department of Industrial and Systems EngineeringChung Yuan Christian UniversityChung-Li CityTaiwan
  4. 4.Hsiu Ping Institute of TechnologyTaichung CityTaiwan
  5. 5.Physical EducationNational Taichung UniversityTaichung CityTaiwan

Personalised recommendations