Effects of Report Order on Identification on Multidimensional Stimulus: Color and Shape

  • I-Hsuan Shen
  • Kong-King Shieh
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5639)


Two experiments were conducted to investigate the effects of order of report on multidimensional stimuli under between-subject and within-subject designs. The two orders of report were Order Color/Shape and Order Shape/Color. Eighteen participants responded according to the instructed one of the two orders of report in between-subject study. Results showed that response time for Order Color/Shape was significantly shorter than Order Shape/Color. Order Color/Shape, fit the Chinese “adjective then noun” grammar, is more appropriate if people report stimulus attributes in ways consistent with their long-standing language habits. However, another group of eleven participants were required to respond according to task cue alternately in within-subject study. Results showed that switch cost as indicated by response times increase was greater for Order Color/Shape than Order Shape/Color (97 msec. vs. 41 msec. for response time for the first stimulus dimension; 95 msec. vs. 28 msec. for response time total). Such results didn’t support the hypothesis that the switch cost would be greater for Order Shape/Color than for Order Color/Shape. The order in which the color attribute should be considered very clearly.


report order multidimensional stimulus identification task switch color coding 


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  1. 1.
    Tsang, P.S., Bates, W.E.: Resource of allocation and object displays. In: Proceedings of the Human Factors Society 34th Annual Meeting Human Factors Society, Santa Monica, CA, pp. 1484–1488 (1990)Google Scholar
  2. 2.
    Wickens, C.D., Andre, A.D.: Proximity compatibility and information display: effects of color, Space, and objectness on information integration. Human Factors 32, 61–77 (1990)CrossRefGoogle Scholar
  3. 3.
    Duncan, J.: Selective attention and the organization of visual information. Journal of Experimental Psychology: General 118, 13–42 (1984)Google Scholar
  4. 4.
    Carswell, C.M., Wickens, C.D.: Mixing and matching lower-level codes for object displays: evidence for two sources of proximity compatibility. Human Factors 38, 1–23 (1996)CrossRefGoogle Scholar
  5. 5.
    Fisher, D.L., Tanner, N.S.: Optimal symbol set selection: a semiautomated procedure. Human Factors 34, 79–95 (1992)Google Scholar
  6. 6.
    Shieh, K.K., Lai, C.J., Ellingstad, V.S.: Effects of report order, identification method, and stimulus characteristics on multidimensional stimulus identification. Perceptual and Motor Skills 82, 99–111 (1996)CrossRefGoogle Scholar
  7. 7.
    Shieh, K.K., Chen, F.F.: Effects of report order and stimulus type on multidimensional stimulus identification. Perceptual and Motor Skills 95, 783–794 (2002)CrossRefGoogle Scholar
  8. 8.
    Osga, G.: An evaluation of identification performance for Raster Scan generated NTDS symbology (Final Report). Naval Ocean System Center, San Diego (1982)Google Scholar
  9. 9.
    Harris, C.S., Haber, R.N.: Selective attention and coding in visual perception. Journal of Experimental Psychology 65, 328–333 (1963)CrossRefGoogle Scholar
  10. 10.
    Shen, I.H., Shieh, K.K., Ko, Y.H.: Event-related potential as a measure of effects of report order and training on identification of multidimensional stimuli. Perceptual and Motor Skills 102, 197–213 (2006)CrossRefGoogle Scholar
  11. 11.
    Shieh, K.K., Shen, I.H.: Report order and task switch on multidimensional stimulus identification: a study of event-related brain potential. Perceptual and Motor Skills 102, 905–918 (2006)CrossRefGoogle Scholar
  12. 12.
    Allport, A., Styles, E.A., Hsieh, S.: Shifting Intentional Set: Exploring the Dynamic Control of Tasks. In: Umilta, C., Moscovitch, M. (eds.) Attention and Performance: 15 Conscious and Nonconscious Information Processing, pp. 421–452. MIT Press, Cambridge (1994)Google Scholar
  13. 13.
    Rogers, R.D., Monsell, S.: Costs of a predictable switch between simple cognitive tasks. Journal of Experimental Psychology: General 124, 207–231 (1995)CrossRefGoogle Scholar
  14. 14.
    Gilbert, S.J., Shallice, T.: Task switching: a PDP model. Cognitive Psychology 44, 297–337 (2002)CrossRefGoogle Scholar
  15. 15.
    Silverstein, L.D.: Human factors for color CRT display system: Concepts, methods and research. In: Durrett, H.J. (ed.) Color and the Computer Academic, Orlando, pp. 26–61 (1987)Google Scholar
  16. 16.
    Christ, R.E.: Review and analysis of color coding research for visual displays. Human Factors 17, 542–570 (1975)CrossRefGoogle Scholar
  17. 17.
    Lappin, J.S.: Attention in the identification of stimulus in complex visual displays. Journal of Experimental Psychology 75, 321–328 (1967)CrossRefGoogle Scholar
  18. 18.
    Luder, C.B., Barber, P.J.: Redundant color coding on airborne CRT displays. Human Factors 26, 19–32 (1984)Google Scholar
  19. 19.
    Shiffrin, M.S., Schneider, E.J.: Controlled and automatic human information processing: II Perceptual learning, automatic attending, and a general theory. Psychological Review 84, 127–192 (1977)CrossRefGoogle Scholar
  20. 20.
    Shieh, K.K., Lai, C.J.: Effects of practice on the identification of multidimensional stimulus. Perceptual and Motor Skills 83, 435–448 (1996)CrossRefGoogle Scholar
  21. 21.
    Shieh, K.K., Lai, C.J.: Multidimensional stimulus identification: Instructing subjects in the order of reporting stimulus dimension. Perceptual and Motor Skills 84, 995–1008 (1997)CrossRefGoogle Scholar
  22. 22.
    Treisman, A.: Feature binding, attention and object perception. Philosophical Transactions of the Royal Society, Series B 353, 1295–1306 (1998)CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • I-Hsuan Shen
    • 1
  • Kong-King Shieh
    • 2
  1. 1.Department of Occupational TherapyChang Gung UniversityTao-Yuan 330Taiwan
  2. 2.Department of Healthcare AdministrationOriental Institute of TechnologyTaipeiTaiwan

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