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Conference Papers Year : 2009

Motion-pointing: target selection using elliptical motions


We present a novel method called motion-pointing for selecting a set of visual items such as push-buttons without actually pointing to them. Instead, each potential target displays a rhythmically animated point we call the driver. To select a specific item, the user only has to imitate the motion of its driver using the input device. Once the motion has been recognized by the system, the user can confirm the selection to trigger the action. We consider cyclic motions on an elliptic trajectory with a specific period, and study the most effective methods for real-time matching such a trajectory, as well as the range of parameters a human can reliably reproduce. We then show how to implement motion-pointing in real applications using an interaction technique we call move-and-stroke. Finally, we measure the throughput and error rate of move-and-stroke in a controlled experiment. We show that the selection time is linearly proportional to the number of input bits conveyed up to 6 bits, confirming that motion-pointing is a practical input method.
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inria-00383759 , version 1 (13-05-2009)


  • HAL Id : inria-00383759 , version 1


Jean-Daniel Fekete, Niklas Elmqvist, Yves Guiard. Motion-pointing: target selection using elliptical motions. Conference on Human Factors in Computing Systems - Proceedings of the 27th international conference on Human factors in computing systems, ACM, Apr 2009, Boston, United States. pp.289-298. ⟨inria-00383759⟩
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