Research On Dynamic Cursor Selection Technology Based On Mouse Inpu

With the advancement of computer technology,human-computer interaction has become an indispensable part of system applications.The human-computer interaction technology under the graphical user interface has received extensive attention,but the high-definition display and the complexity of the graphical user interface have also caused the problem of low efficiency in the selection of small interface elements.Therefore,it is necessary to design a target selection technology that can adapt to complex interactive environments.The research direction of this paper is to design a target selection technology that can improve the interaction efficiency in the environment of uneven target distribution and small target clusters based on mouse input.Compared with the existing target selection technology,the dynamic cursor selection technology proposed in this paper can select the target more accurately and improve the interactive performance.The different positions of the targets in the graphical user interface will cause two kinds of troubles.One is that the long-distance targets need to move the mouse a lot,and the other is that the close-range targets need to be accurately selected in a dense environment.Currently,there are problems in the research of target selection technology in these two cases: 1.The predictive cursor can reduce user operations,but the accuracy is low,and users need a long time to learn the operation of the traditional predictive cursor to improve the accuracy;2.The area cursor can improve the interaction efficiency in most target environments,but it cannot effectively improve the interaction efficiency in dense target environments.In view of these two situations,this paper studies two aspects of target prediction and target selection.In terms of target prediction,a target prediction technology based on optimal estimation is proposed,by predicting the trajectory of the cursor,predicting and correcting the cursor position information and cursor motion information,implicitly improving the motion stability of the cursor,and using the Bayesian method according to the prediction results Estimate and update the probability distribution of possible targets,improve the prediction stability of the cursor during the moving process and the accuracy of target selection;in terms of target selection,a dynamic cursor selection technology based on gradient weighting function is proposed,which is a technology that can The distance between the target and the change uses the cursor-centered gradient weighting function to dynamically adjust the effective area of the cursor and the target,and adaptively switch between different display modes to improve the interactive efficiency of the cursor and the dynamic area cursor technology of selection accuracy.The main work content of this paper is as follows:1.Research on target prediction technology based on optimal estimationThis paper proposes a target prediction technology based on optimal estimation.By predicting the speed and direction of the cursor’s movement,and by calculating the credibility between the cursor’s observed value and estimated value in real time,it is judged whether to use the predicted value or the observed value.As an output,the trajectory of the cursor can be dynamically predicted,the movement stability of the cursor can be improved implicitly,and the probability distribution of possible targets can be updated using Bayesian estimation according to the prediction results,so as to improve the prediction stability and target selection accuracy of the cursor during the movement process.Firstly,by adopting the standard cursor tracking paradigm and Latin square experimental design,the impact of the target size and the initial distance of the target on the target prediction technology proposed in this paper is tested respectively in the small target cluster environment,which provides a basis for the subsequent derivation research;secondly,the The technology is compared and analyzed experimentally on two desktop interactive environments with different densities,and the performance of the proposed target prediction technology is evaluated.Compared with three existing cursor control technologies,the target prediction technology proposed in this paper is verified.effectiveness.2.Research on dynamic cursor selection technology based on gradient weighting functionThis paper proposes a dynamic cursor selection technology based on a gradient weighted function.For uneven target distribution and small target cluster environments,we divide the cursor movement into two stages,Ballistic and Correction.Cursor-centered Gradient weighting function,according to the distance between the cursor and the target,the activation area and potential speed of the cursor will change according to the weight value,determine the switching of different stages,dynamically adjust the display mode of the cursor and the effective area of ??the cursor and the target.In the ejection stage,the dynamic cursor selection technology based on the gradient weighting function hides the dynamic change area of the cursor,and at this time,the target prediction technology based on the optimal estimation is activated,which is displayed as a point cursor;in the correction stage,the dynamic cursor selection technology based on the gradient weighting function Displays the dynamically changing area of the cursor,increasing the potential effective area of the cursor and target,with target prediction technology on standby,displayed as an area cursor.Experiments were carried out in a more complex simulated actual interactive environment,and three excellent target selection technologies were selected for comparison.The experimental results show that the dynamic cursor selection technology proposed in this paper is superior to the comparison technology,which verifies the stability and effectiveness of the technology proposed in this paper..This paper systematically researches and evaluates the dynamic cursor selection technology proposed in the study,analyzes its mechanism and effect in improving the efficiency and accuracy of target selection in a two-dimensional interactive environment,and solves the problem of target selection in the current small target cluster environment.The existing problems of the technology are discussed,and the application potential and challenges of the technology in the three-dimensional space interactive environment are discussed,as well as the problems that need to be solved in the future.