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Prediction of the human response time with the similarity and quantity of information

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  • Lee, Sungjin
  • Heo, Gyunyoung
  • Chang, Soon Heung

Abstract

Memory is one of brain processes that are important when trying to understand how people process information. Although a large number of studies have been made on the human performance, little is known about the similarity effect in human performance. The purpose of this paper is to propose and validate the quantitative and predictive model on the human response time in the user interface with the concept of similarity. However, it is not easy to explain the human performance with only similarity or information amount. We are confronted by two difficulties: making the quantitative model on the human response time with the similarity and validating the proposed model by experimental work. We made the quantitative model based on the Hick's law and the law of practice. In addition, we validated the model with various experimental conditions by measuring participants' response time in the environment of computer-based display. Experimental results reveal that the human performance is improved by the user interface's similarity. We think that the proposed model is useful for the user interface design and evaluation phases.

Suggested Citation

  • Lee, Sungjin & Heo, Gyunyoung & Chang, Soon Heung, 2006. "Prediction of the human response time with the similarity and quantity of information," Reliability Engineering and System Safety, Elsevier, vol. 91(6), pages 728-734.
    • Handle: RePEc:eee:reensy:v:91:y:2006:i:6:p:728-734
    DOI: 10.1016/j.ress.2005.06.004
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    1. Roger Shepard, 1962. "The analysis of proximities: Multidimensional scaling with an unknown distance function. I," Psychometrika, Springer;The Psychometric Society, vol. 27(2), pages 125-140, June.
    2. Roger Shepard, 1962. "The analysis of proximities: Multidimensional scaling with an unknown distance function. II," Psychometrika, Springer;The Psychometric Society, vol. 27(3), pages 219-246, September.
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