An Analysis Of Human Intelligence Differences In Graph Extraction And Interpretation From A Perceptive Perspective

The emergence and development of visualization tools make the demand for chart extraction and interpretation emerge at the historic moment.As the two main bodies of graph extraction and interpretation,the characteristics of human and intelligent agents when dealing with a large number and various graphs are an important issue under the background of human-intelligence collaboration.The difference analysis of human and intelligence agents graph processing features can give full play to the characteristics of human and Intelligence agents,determine the optimal choice of mixed intelligence under different situations,and improve the overall utilization rate of graph data.Exploring the differences between human beings and agents in graph extraction and interpretation from a perceptive perspective is helpful to understand the characteristics and differences of generative information in a deep level,so as to facilitate the cooperation of mixed intelligent knowledge and knowledge co-creation.Therefore,this study takes the perceptive perspective as the entry point to explore the perceptive features and differences of human and agent in the context of graph extraction and interpretation.Based on the map perception theory and information integration theory,this paper first extracts the sensitivity analysis dimension of graph extraction and interpretation by combining the sensitivity understanding of information,and further studies the relevant literature of sensitivity,and constructs the sensitivity analysis framework of graph extraction and interpretation.Furthermore,in order to understand the specific perceptive dimension difference between human and agent in graph extraction and interpretation,a controlled experiment was designed to collect the data of graph extraction and interpretation processing of 27 freshmen students and agents,as well as the scores of graph familiarity and perceptive intensity of the subjects.Then,using Mann-Whitney U test,the differences of human and intellectual agent characteristics under different dimensions of sensibility are analyzed,and the panorama of differences between human and intellectual agent is drawn.The results show that the agent is good at extracting original data efficiently and accurately,but it is easy to be affected by noisy data,and its graph analysis results are relatively simple.People are good at making comprehensive use of multi-source information to analyze a variety of results with a higher level of sensitivity.However,people’s interpretation of the charts is highly subjective and easy to be affected by the familiarity with the charts,so the analysis results are not stable.On this basis,this paper puts forward the strategy of human and intellectual agent choice,in order to improve the overall level of chart analysis and promote the collaboration of human and intellectual agent knowledge.