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Paper   IPM / Cognitive / 12727
School of Cognitive Sciences
  Title:   Predicting the human reaction time based on natural image statistics in a rapid categorization task
1.  Amin Mirzaei
2.  Seyed-Mahdi Khaligh-Razavi
3.  Masoud Ghodrati
4.  Sajjad Zabbah
5.  Reza Ebrahimpour
  Status:   Published
  Journal: Vision Research
  Vol.:  81
  Year:  2013
  Pages:   36-44
  Supported by:  IPM
The human visual system is developed by viewing natural scenes. In controlled experiments, natural 25 stimuli therefore provide a realistic framework with which to study the underlying information process- 26ing steps involved in human vision. Studying the properties of natural images and their effects on the 27 visual processing can help us to understand underlying mechanisms of visual system. In this study, we 28 used a rapid animal vs. non-animal categorization task to assess the relationship between the reaction 29 times of human subjects and the statistical properties of images. We demonstrated that statistical mea- 30 sures, such as the beta and gamma parameters of aWeibull, fitted to the edge histogram of an image, and 31 the image entropy, are effective predictors of subject reaction times. Using these three parameters, we 32 proposed a computational model capable of predicting the reaction times of human subjects.

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