Advertisement

Finding Relevant Items: Attentional Guidance Improves Visual Selection Processes

  • Sonja Stork
  • Isabella Hild
  • Mathey Wiesbeck
  • Michael F. Zaeh
  • Anna Schubö
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5889)

Abstract

In daily life and at work people are confronted with complex information. Especially elderly or disabled users might be overburdened by the amount of information and distracted by irrelevant items. Due to this, they possibly fail to find and select relevant items in visual search. This could be demotivating for the use of media like the internet or could result in an inability to achieve certain job requirements. A method for supporting performance in visual search tasks is the guidance of attention. The present study compares different methods for attentional guidance. Results show a benefit for peripheral exogenous cues realized as luminance changes in comparison to endogenous central cues. Possible applications for the proposed attentional guidance method are discussed.

Keywords

Information Presentation Visual Search Eye Movements Human Performance Augmented Reality Assistive Technology 

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    Holzinger, A., Searle, G., Kleinberger, T., Seffah, A., Javahery, H.: Investigating Usability Metrics for the Design and Development of Applications for the Elderly. In: Miesenberger, K., Klaus, J., Zagler, W.L., Karshmer, A.I. (eds.) ICCHP 2008. LNCS, vol. 5105, pp. 98–105. Springer, Heidelberg (2008)CrossRefGoogle Scholar
  2. 2.
    Zaeh, M.F., Prasch, M.: Systematic workplace and assembly redesign for aging workforces. Production Engineering - Research and Development 1, 57–64 (2007)CrossRefGoogle Scholar
  3. 3.
    Matausch, K., Hengstberger, B., Miesenberger, K.: “Assistec” – A University Course on Assistive Technologies. In: Miesenberger, K., Klaus, J., Zagler, W.L., Karshmer, A.I. (eds.) ICCHP 2006. LNCS, vol. 4061, pp. 361–368. Springer, Heidelberg (2006)CrossRefGoogle Scholar
  4. 4.
    Darzentas, J., Miesenberger, K.: Design for All in Information Technology: A Universal Concern. In: Andersen, K.V., Debenham, J., Wagner, R. (eds.) DEXA 2005. LNCS, vol. 3588, pp. 406–420. Springer, Heidelberg (2005)CrossRefGoogle Scholar
  5. 5.
    Holzinger, A., Mukasa, K.S., Nischelwitzer, A.K.: Introduction to the special thematic session: Human–computer interaction and usability for elderly. In: Miesenberger, K., Klaus, J., Zagler, W.L., Karshmer, A.I. (eds.) ICCHP 2008. LNCS, vol. 5105, pp. 18–21. Springer, Heidelberg (2008)CrossRefGoogle Scholar
  6. 6.
    Sarter, N.: Coping with Complexity Through Adaptive Interface Design. In: Jacko, J.A. (ed.) HCI 2007. LNCS, vol. 4552, pp. 493–498. Springer, Heidelberg (2007)CrossRefGoogle Scholar
  7. 7.
    Treisman, A.M., Gelade, G.: A feature-integration theory of attention. Cognitive Psychology 12, 97–136 (1980)CrossRefGoogle Scholar
  8. 8.
    Wolfe, J.M.: Visual search. In: Pashler, H. (ed.) Attention, pp. 13–74. Psychology Press, London (1998)Google Scholar
  9. 9.
    Duncan, J., Humphreys, G.W.: Visual search and stimulus similarity. Psychological Review 96, 433–458 (1989)CrossRefGoogle Scholar
  10. 10.
    Proctor, R.W., Vu, K.-P.L.: Human information processing: An overview for human-computer interaction. In: Sears, A., Jacko, J. (eds.) The human-computer interaction handbook: Fundamentals, evolving technologies, and emerging applications, 2nd edn., pp. 43–62. CRC Press, Boca Raton (2008)Google Scholar
  11. 11.
    Wickens, C.D., Carswell, C.M.: Information processing. In: Salvendy, G. (ed.) Handbook of human factors and ergonomics, 3rd edn., pp. 111–149. John Wiley, Hoboken (2006)Google Scholar
  12. 12.
    Stork, S., Stößel, C., Müller, H.J., Wiesbeck, M., Zäh, M.F., Schubö, A.: A Neuroergonomic Approach for the Investigation of Cognitive Processes in Interactive Assembly Environments. In: 16th IEEE International Conference on Robot and Human Interactive Communication (ROMAN 2007), pp. 750–755 (2007)Google Scholar
  13. 13.
    Posner, M., Snyder, C., Davidson, B.J.: Attention and detection of signals. Journal of Experimental Psychology: General 109, 160–174 (1980)CrossRefGoogle Scholar
  14. 14.
    Wolfe, J.M., Horowitz, T.S.: What attributes guide the deployment of visual attention and how do they do it? Nature Reviews Neuroscience 5, 1–7 (2004)CrossRefGoogle Scholar
  15. 15.
    Stößel, C., Wiesbeck, M., Stork, S., Zäh, M.F., Schubö, A.: Towards Optimal Worker Assistance: Investigating Cognitive Processes in Manual Assembly. In: Proc. of the 41st CIRP Conference on Manufacturing Systems, pp. 245–250 (2008)Google Scholar
  16. 16.
    Stork, S., Stößel, C., Schubö, A.: The influence of instruction mode on reaching movements during manual assembly. In: Holzinger, A. (ed.) USAB 2008. LNCS, vol. 5298, pp. 161–172. Springer, Heidelberg (2008)CrossRefGoogle Scholar
  17. 17.
    Just, M.A., Carpenter, P.A.: Eye fixations and cognitive processes. Cognitive Psychology 8, 441–480 (1976)CrossRefGoogle Scholar
  18. 18.
    Jacob, R.J.K., Karn, K.S.: Eye tracking in Human-Computer Interaction and usability research: Ready to deliver the promises. In: Hyönä, J., Radach, R., Deubel, H. (eds.) The mind’s eye: Cognitive and applied aspects of eye movement research, pp. 573–605. Elsevier, Amsterdam (2003)Google Scholar
  19. 19.
    Goldberg, H.J., Kotval, X.P.: Computer interface evaluation using eye movements: Methods and constructs. International Journal of Industrial Ergonomics 24, 631–645 (1999)CrossRefGoogle Scholar
  20. 20.
    Crawford, T.J., Müller, H.J.: Spatial and temporal effects of spatial attention on human saccadic eye movements. Vision Research 32, 293–304 (1992)CrossRefGoogle Scholar
  21. 21.
    Cornelissen, F.W., Peters, E., Palmer, J.: The Eyelink Toolbox: Eye tracking with MATLAB and the Psychophysics Toolbox. Behavior Research Methods, Instruments and Computers 34, 613–617 (2002)Google Scholar
  22. 22.
    Behringer, R., Christian, J., Holzinger, A., Wilkinson, S.: Some Usability Issues of Augmented and Mixed Reality for e-Health Applications in the Medical Domain. In: Holzinger, A. (ed.) USAB 2007. LNCS, vol. 4799, pp. 255–266. Springer, Heidelberg (2007)CrossRefGoogle Scholar
  23. 23.
    Nischelwitzer, A., Lenz, F.-J., Searle, G., Holzinger, A.: Some Aspects of the Development of Low-Cost Augmented Reality Learning Environments as examples for Future Interfaces in Technology Enhanced Learning. In: Stephanidis, C. (ed.) HCI 2007. LNCS, vol. 4556, pp. 728–737. Springer, Heidelberg (2007)CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Sonja Stork
    • 1
  • Isabella Hild
    • 1
  • Mathey Wiesbeck
    • 2
  • Michael F. Zaeh
    • 2
  • Anna Schubö
    • 1
  1. 1.Department PsychologyLudwig Maximilian University MunichMunichGermany
  2. 2.Institute for Machine Tools and Industrial ManagementTechnische Universität MünchenGarchingGermany

Personalised recommendations