Movement time prediction in human-computer interfaces
Human-computer interaction
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We address the problem of predicting user intentions in cases of pointing ambiguities in graphical user interfaces.We argue that it is possible to heuristically resolve pointing ambiguities using implicit information that resides in natural pointing gestures, thus eliminating the need for explicit interaction methods and encouraging natural human-computer interaction.We present two speed-accuracy measures for predicting the size of the intended target object. These two measures are tested empirically and shown to be valid and robust.Additionally, we demonstrate the use of exact mouse location for disambiguation and the use of estimated movement continuation for predicting intended target objects at early stages of the pointing gesture.