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User click success rate prediction method for moving targets in any shape

A technology of moving targets and arbitrary shapes, applied in the direction of user interface execution, complex mathematical operations, program control devices, etc., can solve problems such as inability to apply moving targets, poor applicability of moving targets, etc., and achieve the effect of predictive stability

Inactive Publication Date: 2020-12-22
INST OF SOFTWARE - CHINESE ACAD OF SCI
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Most of these works are aimed at stationary targets, and their applicability to moving targets is relatively poor. At the same time, most of these works are based on regular rectangular or circular targets, which cannot be applied to moving targets of arbitrary shape.

Method used

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  • User click success rate prediction method for moving targets in any shape
  • User click success rate prediction method for moving targets in any shape
  • User click success rate prediction method for moving targets in any shape

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Embodiment Construction

[0032] In order to make the above features and advantages of the present invention more comprehensible, preferred embodiments of the present invention will be described in detail below in conjunction with the accompanying drawings.

[0033] This implementation provides a method for predicting the success rate of user selection of moving objects, such as figure 1 As shown, the steps are as follows:

[0034] 1) Determine the constants in the probability distribution model of the landing point by collecting the data of the moving target selected by the user;

[0035] 2) For a moving target, it is expressed as a set of sub-targets composed of several inscribed circles S={s i |i=0,1,2,...n};

[0036] 3) For the sub-target set S, apply the drop point probability distribution model expression to obtain the probability density function of the moving target;

[0037] 4) Putting the probability density function of the moving target into the expression of the accuracy prediction funct...

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Abstract

The invention provides a user click success rate prediction method for moving targets in any shape, belongs to the field of computer graphical user interfaces. The method comprises the following steps: representing the moving targets by using a sub-target set by determining the moving targets of which the click success rate needs to be predicted; performing weighted combination on the Gaussian distribution of all the sub-target sets to obtain a drop point distribution model of the moving target; acquiring a probability density function of normal distribution corresponding to the moving targetaccording to the drop point distribution model of the moving target and the shape of the moving target; and acquiring a function expression of the click success rate of the moving targets according tothe probability density function of normal distribution, and predicting the click success rate of each moving target through the function expression.

Description

technical field [0001] The invention belongs to the field of computer graphic user interface, and in particular relates to a method for predicting the success rate of user's click on a moving target with any shape in the graphic user interface. Background technique [0002] With the development of information technology, especially the development of computer graphics and human-computer interaction technology, interactive systems with dynamic content are becoming more and more common. Video surveillance systems and computer game systems are the most prominent representatives. The user interfaces of these systems contain a large number of moving targets, and the selection of moving targets has universal practical significance. Users need to capture moving targets by clicking and other operations while continuously tracking the targets. This common task of moving target selection places high demands on the human perception control coordination system and is also full of challe...

Claims

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Application Information

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IPC IPC(8): G06F17/18G06F9/451
CPCG06F17/18G06F9/451
Inventor 黄进仝青山张子悦田丰王宏安
Owner INST OF SOFTWARE - CHINESE ACAD OF SCI
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