Comparing end-user and intelligent remote control interface generation |
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Authors: | Olufisayo Omojokun Jeffrey S Pierce Charles L Isbell Prasun Dewan |
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Affiliation: | (1) University of North Carolina, CB3175, Sitterson Hall, Chapel Hill, NC, USA;(2) Georgia Institute of Technology, 801 Atlantic Avenue, Atlanta, GA, USA |
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Abstract: | Traditional remote controls typically allow users to activate functionality of a single device. Given that users activate
a subset of functionality across devices to accomplish a particular task, it is attractive to consider a remote control directly
supporting this behavior. We present qualitative and quantitative results from a study of two promising approaches creating
such a remote control: end-user programming and machine learning. In general, results show that each approach possesses advantages
and disadvantages, and that neither is optimal. |
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Keywords: | Ubiquitous computing Appliance User interaction Machine learning |
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