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Motion-pointing: target selection using elliptical motions

Published: 04 April 2009 Publication History

Abstract

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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cover image ACM Conferences
CHI '09: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
April 2009
2426 pages
ISBN:9781605582467
DOI:10.1145/1518701
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Publication History

Published: 04 April 2009

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Author Tags

  1. alternative input
  2. harmonic motion
  3. oscillatory motion

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CHI '09 Paper Acceptance Rate 277 of 1,130 submissions, 25%;
Overall Acceptance Rate 6,199 of 26,314 submissions, 24%

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  • (2024)SoundOrbit: motion-correlation interaction with auditory orbital trajectoriesPersonal and Ubiquitous Computing10.1007/s00779-024-01818-428:5(763-778)Online publication date: 1-Oct-2024
  • (2022)One-handed Input for Mobile Devices via Motion Matching and Orbits ControlsProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/35346246:2(1-24)Online publication date: 7-Jul-2022
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  • (2021)A Probabilistic Interpretation of Motion Correlation Selection TechniquesProceedings of the 2021 CHI Conference on Human Factors in Computing Systems10.1145/3411764.3445184(1-13)Online publication date: 6-May-2021
  • (2020)Efficient human-machine control with asymmetric marginal reliability input devicesPLOS ONE10.1371/journal.pone.023360315:6(e0233603)Online publication date: 1-Jun-2020
  • (2019)WattomProceedings of the Thirteenth International Conference on Tangible, Embedded, and Embodied Interaction10.1145/3294109.3295642(307-313)Online publication date: 17-Mar-2019
  • (2019)Designing Motion Matching for Real-World ApplicationsProceedings of the Thirteenth International Conference on Tangible, Embedded, and Embodied Interaction10.1145/3294109.3295628(645-656)Online publication date: 17-Mar-2019
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