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   2012, Vol. 20 Issue (5) : 770-781     DOI:
研究方法 |
The Real-time Measurement of the Process of Person Construal Based on Mouse-tracking Technology
ZHANG Xiao-Bin;ZUO Bin;XUE Meng-Jie;JIANG Wen;HOU Fei-Xiang
(1 School of Psychology, Central China Normal University, Wuhan 430079, China)
(2Hubei Human Development and Mental Health Key Laboratory, Wuhan 430079, China)
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Abstract  The studies on person construal involving much automatic processing process investigate low level perceptional process of categorization and its mechanism. Based on the physiological principle that the movement of hand can reflect the mental process, mouse-tracking technology measures the mental process in real time by recording and analyzing the coordinates of the locus of the movement of mouse, and it is a new method of measuring mental process in real time. Based on the MouseTracker which is the latest version software of mouse-tracking technology, the studies found that social categories and stereotypes followed the principle of dynamic continuous activation. During the dynamic activation process, the categorization processing based on facial pigmentation took precedence over processing based on the facial shape. The cross-modal processes of social category followed the principles of dynamic integration. Dynamic interactive theory of person construal assumes that the perception of other people is accomplished by a dynamical system involving continuous interaction between social categories, stereotypes, high-level cognitive states, and the low-level processing of facial or vocal cues.
Keywords the process of person construal      social categorization      mouse tracking technology      MouseTracker package      real-time measurement     
Corresponding Authors: ZUO Bin   
Issue Date: 15 May 2012
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ZHANG Xiao-Bin
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HOU Fei-Xiang
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ZHANG Xiao-Bin,ZUO Bin,XUE Meng-Jie, et al. The Real-time Measurement of the Process of Person Construal Based on Mouse-tracking Technology[J]. , 2012, 20(5): 770-781.
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[2] ZUO Bin;ZHANG Xiao-Bin. The Neural Mechanisms of Category Learning and Application[J]. , 2011, 19(6): 843-852.
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