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Mouse tracking (also known as cursor tracking) is the use of software to collect users' mouse cursor positions on the computer. [1] This goal is to automatically gather richer information about what people are doing, typically to improve the design of an interface. Often this is done on the Web and can supplement eye tracking in some situations.
Mouse and keyboard activity can be measured remotely, so this quality can be capitalized for usability testing. [12] Algorithms can use mouse movements to predict and trace user eye movements. Such tracking in a remote environment is denoted as a remote logging technique. [12] This is an example of recorded gaze-tracking for multiple participants.
Robot in a wooden maze. A maze-solving algorithm is an automated method for solving a maze.The random mouse, wall follower, Pledge, and Trémaux's algorithms are designed to be used inside the maze by a traveler with no prior knowledge of the maze, whereas the dead-end filling and shortest path algorithms are designed to be used by a person or computer program that can see the whole maze at once.
Mouse tracking collects the user's mouse cursor positions on the computer. Browser fingerprinting relies on your browser and is a way of identifying users every time they go online and track your activity. Through fingerprinting, websites can determine the user's operating system, language, time zone, and browser version without your permission.
As mentioned later in this article, pointing devices have different possible states. Examples for these states are out of range, tracking or dragging. Examples. a computer mouse is an indirect, relative, isotonic, position-control, translational input device with two degrees of freedom (x, y position) and two states (tracking, dragging).
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After a short introduction and training, respondents can follow their attention with the mouse. In comparative studies with classical machine-based procedures significant correlations (r>0.92) were found between the data gained with the machine-based procedure and the data gained with AttentionTracking.
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