Study on Impact of Time Load on Searching and Recognition of Visual Information

Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 778)


There are various factors affecting visual information search and recognition (VISR), an important part of the process of human-computer interaction (HCI). Statistical analysis shows that an operator’s performance in VISR is influenced significantly by time load, which refers to the load created by the time limit on a specified task in HCI. This paper looks at the effects of time load on performance in VISR. For accurate simulation of VISR, visual information elements extracted from the real world are abstracted and then tested using the method of similar abstract geometry search and recognition. Later, the pattern of variation in performance in similar abstract geometry search and recognition with time load is derived by processing and analyzing the experimental data. Based on the results, an effective method is proposed for improving performance in VISR.


Time load Visual information search and recognition (VISR) Similar abstract geometry Performance Efficiency Error rate 



This study is supported by the Project supported by the National Social Science Foundation of China (Project No. 16BSH127).


  1. 1.
    Ordonez, L., Iii, L.B.: Decisions under time pressure: how time constraint affects risky decision making. Organ. Behav. Hum. Decis. Process. 71(2), 121–140 (1997)CrossRefGoogle Scholar
  2. 2.
    Ariely, D., Zakay, D.: A timely account of the role of duration in decision making. Acta Psychol. 108(2), 187–207 (2001)CrossRefGoogle Scholar
  3. 3.
    Kawado, M., Hinotsu, S., Matsuyama, Y., et al.: A comparison of error detection rates between the reading aloud method and the double data entry method. Control. Clin. Trials 24(5), 560 (2003)CrossRefGoogle Scholar
  4. 4.
    Yeh, C.H, Lin, Y.C.: Neural network models for transforming consumer perception into product form design. In: Advances in Neural Networks - ISNN 2006, pp. 799–804. Springer, Heidelberg (2006)CrossRefGoogle Scholar
  5. 5.
    Hannaman, G.W., Lukic, Y.D., Spurgin, A.J.: Consideration of cognitive processing in human reliability analysis for PRAs. Trans. Am. Nucl. Soc. (U.S.) 49 (1985)Google Scholar
  6. 6.
    Hollnagel, E.: Cognitive Reliability and Error Analysis Method (CREAM). Elsevier (1998)CrossRefGoogle Scholar

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© Springer International Publishing AG, part of Springer Nature 2019

Authors and Affiliations

  1. 1.School of Design Art and MediaNanjing University of Science and TechnologyNanjingPeople’s Republic of China

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