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Multi-eye movement data-based map symbol user interest analysis method

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

Inactive Publication Date: 2018-05-18
PLA STRATEGIC SUPPORT FORCE INFORMATION ENG UNIV PLA SSF IEU
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  • Summary
  • 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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  • Multi-eye movement data-based map symbol user interest analysis method
  • Multi-eye movement data-based map symbol user interest analysis method
  • Multi-eye movement data-based map symbol user interest analysis method

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Experimental program
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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 map user spatial cognition ability analysis, and particularly relates to a multi-eye movement data-based map symbol user interest analysis method. The method comprises the following steps of: 1, designing an eye movement experiment to obtain eye movement data, and recording tested eye movement data by utilizing an eye tracker; 2, eye movement data preprocessing: screening eye movement types in an interest area, and only retaining three types of eye movement data with single meanings to serve as data basis; 3, establishment of a user interestingness formula: respectively calculating a time, a frequency and size user interestingness, and respectively calculating weights of the three types of data by utilizing an entropy weight method so as to realize the construction of the user interestingness calculation formula; and 4, user interestingness evaluation: carrying out statistic on evaluation scoring values, for a map symbol, of all the pieces of tested data by utilizing a user interview method, taking the evaluation scoring values as real values to carry out measurement, and calculating the correctness of a user interestingness calculation result through an average correctness formula so as to finally determine the reliability and accuracy of the user interestingness 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 interests. 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 Applications(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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