Analysis and Application of Influencing Factors of Mirror Drawing Ability

Abstract

This article analyzed the factors affecting the mirror drawing ability through the experimental data collected by the mirror drawing experiment. The specific research selected the following five aspects for analysis: gender, personality, the intersection of gender and personality, the difficulty degree of skills, and the influence between left and right hands. Using statistical analysis methods to analyze the experimental data. Gender and personality have no significant effect on the formation of skills. The time of mirror drawing and the number of errors are not significant in the intersection of gender and personality. However, skill difficulty (the difficulty degree of graphics) has an impact on the formation of skills. The process of skills formation is a process of skill transfer. Based on this, mirror-drawing graphics with different difficulty degrees, which could be as a basis for evaluating the ability of personnel to transfer skills. Through the analysis of experimental data, the dominant hand has a certain positive transfer effect on the non-dominant hand. The process of mirror drawing is a process of representation training. Participants processed the experience and skills gained in the process of practicing mirror drawing with the dominant hand in the brain, and then applied to the process of non-dominant hand mirror drawing, which improved their non-dominant hand mirror drawing ability and realized the migration of mirror drawing ability. In fact, the practice process had played the role of representation training. Therefore, use the method of representation training to promote skill transfer. For example, we can establish correct technical action representations to improve the quality of actions and speed up the automation of actions. In addition, in the post-epidemic era, use network virtual experiments for representation training to promote the transfer of students’ experimental skills. Moreover, there are some other applications.

M. Liu—The project number supporting this study is 2017YFB1102802.