Abstract
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.
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Acknowledgements
This study is supported by the Project supported by the National Social Science Foundation of China (Project No. 16BSH127).
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Zhao, Yq., Wu, Ty., Zhou, M., Li, Yj. (2019). Study on Impact of Time Load on Searching and Recognition of Visual Information. In: Boring, R. (eds) Advances in Human Error, Reliability, Resilience, and Performance. AHFE 2018. Advances in Intelligent Systems and Computing, vol 778. Springer, Cham. https://doi.org/10.1007/978-3-319-94391-6_3
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DOI: https://doi.org/10.1007/978-3-319-94391-6_3
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