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View Code? Open in Web Editor NEWa method of predicting the endpoints of mouse movements
a method of predicting the endpoints of mouse movements
=================================== MOUSE POINTING ENDPOINT PREDICTION USING KINEMATIC TEMPLATE MATCHING =================================== Pasqual, P.T. and Wobbrock, J.O. (2014). Mouse pointing endpoint prediction using kinematic template matching. Proceedings of the ACM Conference on Human Factors in Computing Systems (CHI '14). Toronto, Ontario (April 26-May 1, 2014). New York: ACM Press, pp. 743-752. The given application is divided into three sections: "Collect" "Analyze" "Test" all of which can be accessed through the "File" menu. +++++++++ COLLECT +++++++++ Collects and logs raw mouse movement data for both 1D and 2D tasks. -Data is by default logged in "bin/Debug/Subject_{subject ID}" -A single "trial" is representative of one mousement ending with a click -A "block" is a set of trials (mainly implemented as a way to give participants a break) -A session can contain many blocks +++++++++ ANALYZE +++++++++ Analyzes the selected subjects and outputs analyses to a file ("bin/Debug/analysis.csv" by default) -A script/statistics package can then be used to compute any results (predictive accuracy, hit rates, etc.) -If the "Compare Library" box is checked, the subject selected from the dropdown menu will be used as the template libary to compare with. -NOTE: While analysis is being performed, the UI will freeze. If you would like to see progress, check the console. +++++++++ TEST +++++++++ Basic demonstration of KTM's ability to predict in real time. -A template library will be built from the selected subject's previously collected mouse movement data. -Predictions are shown as small red dots on the screen.
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