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- W2077501939 abstract "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." @default.
- W2077501939 created "2016-06-24" @default.
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- W2077501939 date "2001-03-31" @default.
- W2077501939 modified "2023-09-27" @default.
- W2077501939 title "Predicting user intentions in graphical user interfaces using implicit disambiguation" @default.
- W2077501939 cites W4239127880 @default.
- W2077501939 doi "https://doi.org/10.1145/634067.634330" @default.
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