Method for user interest analysis of map symbols based on multiple eye movement data

A technology of user interests and map symbols, applied in character and pattern recognition, instruments, computing, etc., can solve the problem of low accuracy of symbol user interest analysis results

Inactive Publication Date: 2020-05-05
PLA STRATEGIC SUPPORT FORCE INFORMATION ENG UNIV PLA SSF IEU
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] In order to overcome the deficiencies in the prior art, the purpose of the present invention is to solve the problem of low accuracy of symbol user interest analysis results in the process of map design or personalized recommendation service

Method used

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  • Method for user interest analysis of map symbols based on multiple eye movement data
  • Method for user interest analysis of map symbols based on multiple eye movement data
  • Method for user interest analysis of map symbols based on multiple eye movement data

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Embodiment 1

[0083] Example 1, please refer to figure 1 , figure 1 It is a schematic flow chart of a method for analyzing user interests of map symbols based on multiple eye movement data in the present invention, and the method includes:

[0084] Step S101, acquisition of eye movement data

[0085] Design an eye movement experiment to obtain eye movement data of map users. When designing an eye movement experiment, it is necessary to ensure that the map symbol is the only variable. Before carrying out the experiment, it is required to restrict the spatial cognition ability of the experimental subjects, the style of the experimental base map, the experimental process, equipment and environment to ensure that the eye movement data can be analyzed.

[0086] Step S102, preprocessing of eye movement data

[0087] Filter eye-tracking data within regions of interest. The interest area is the area where the target point of the experiment is located. The experiment requires the user to find a ...

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Abstract

The invention belongs to the technical field of spatial cognitive ability analysis of map users, and in particular relates to a method for analyzing user interests of map symbols based on multiple eye movement data. The method includes the following steps: the first step is to design an eye movement experiment to obtain eye movement data, The eye tracker recorded the eye movement data of the subjects. The second step is eye movement data preprocessing, screening the types of eye movement data in the area of ​​interest, and only retaining three types of eye movement data with a single meaning as the data basis. The third step is to establish the user interest degree formula, calculate the time, frequency and size user interest degree respectively, and use the entropy weight method to calculate the weight of the three types of data respectively, and realize the construction of the user interest degree calculation formula. The fourth step is to evaluate the degree of user interest. Use the user interview method to count the evaluation scores of all the subjects on the map symbols, and use this as the true value to measure. Calculate the accuracy of the calculation results of the user interest degree through the average correct rate formula, and finally determine the accuracy of the user interest degree. The reliability and accuracy of the interest degree calculation formula.

Description

technical field [0001] The invention belongs to the technical field of spatial cognition ability analysis of map users, in particular to a method for analyzing map symbol user interests based on multiple eye movement data. Background technique [0002] Analyzing user interest in map symbols is a key link to improve the effect of map design and enhance the quality of map personalized service. In order to accurately obtain the degree of interest of map users, many scholars have conducted research. At present, the methods for analyzing map users' interests are mainly divided into explicit acquisition methods and implicit acquisition methods, including questionnaire survey method, mouse track method, Web log data, location information and operation behavior data. The above methods record the user's evaluation results or operation Behavior captures user interest. However, in practical applications, users use visual behaviors to directly obtain the visual content of map symbols,...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/62
CPCG06F18/211G06F18/25
Inventor 王成舜陈毓芬郑束蕾李伟王双
Owner PLA STRATEGIC SUPPORT FORCE INFORMATION ENG UNIV PLA SSF IEU
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