research-article

SPEED: prédiction de cibles

Authors:

Jonathan Wonner,

Jérôme Grosjean,

Antonio Capobianco,

Dominique BechmannAuthors Info & Claims

IHM '11: Proceedings of the 23rd Conference on l'Interaction Homme-Machine

Article No.: 19, Pages 1 - 4

https://doi.org/10.1145/2044354.2044378

Published: 24 October 2011 Publication History

Abstract

We present the SPEED method to predict endpoints, based on analysis of the kinetic characteristics of the pointing gesture. Our model splits the gesture into an acceleration phase and a deceleration phase to precisely detect target. The first phase allows us to identify a velocity peak that marks the beginning of the second phase. This phase is approached with a quadratic model to predict gesture endpoint. A pilot study shows that SPEED predicts a target more precisely than other existing methods, for 1D tasks without distractors.

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Cited By

Malla Osman ZDupire JMader SCubaud PNatkin S(2016)Monitoring player attention: A non-invasive measurement method applied to serious gamesEntertainment Computing10.1016/j.entcom.2015.08.00314(33-43)Online publication date: May-2016
https://doi.org/10.1016/j.entcom.2015.08.003
Casallas JOliver JKelly JMerienne FGarbaya S(2014)Using relative head and hand-target features to predict intention in 3D moving-target selection2014 IEEE Virtual Reality (VR)10.1109/VR.2014.6802050(51-56)Online publication date: Mar-2014
https://doi.org/10.1109/VR.2014.6802050
Casallas JOliver JKelly JMerienne FGarbaya S(2013)Towards a Model for Predicting Intention in 3D Moving-Target Selection TasksProceedings, Part I, of the 10th International Conference on Engineering Psychology and Cognitive Ergonomics. Understanding Human Cognition - Volume 801910.5555/2964912.2964915(13-22)Online publication date: 21-Jul-2013
https://dl.acm.org/doi/10.5555/2964912.2964915
Show More Cited By

Index Terms

SPEED: prédiction de cibles
1. Human-centered computing
  1. Human computer interaction (HCI)
    1. Interaction devices
      1. Touch screens
    2. Interaction paradigms

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cover image ACM Other conferences

IHM '11: Proceedings of the 23rd Conference on l'Interaction Homme-Machine

October 2011

169 pages

ISBN:9781450308229

DOI:10.1145/2044354

Conference Chair:
Michel Riveill
Université de Nice Sophia-Antipolis

Copyright © 2011 ACM.

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]

Sponsors

UNSA: University of Nice Sophia Antipolis
AFIHM: Ass. Francophone d'Interaction Homme-Machine
I3S lab: I3S lab
INRIA: Institut Natl de Recherche en Info et en Automatique

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SIGCHI: ACM Special Interest Group on Computer-Human Interaction

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 24 October 2011

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IHM'11

Sponsor:

UNSA
AFIHM
I3S lab
INRIA

IHM'11: 23th French speaking Conference on Human-Computer Interaction

October 24 - 27, 2011

Sophia Antipolis, France

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Cited By

Malla Osman ZDupire JMader SCubaud PNatkin S(2016)Monitoring player attention: A non-invasive measurement method applied to serious gamesEntertainment Computing10.1016/j.entcom.2015.08.00314(33-43)Online publication date: May-2016
https://doi.org/10.1016/j.entcom.2015.08.003
Casallas JOliver JKelly JMerienne FGarbaya S(2014)Using relative head and hand-target features to predict intention in 3D moving-target selection2014 IEEE Virtual Reality (VR)10.1109/VR.2014.6802050(51-56)Online publication date: Mar-2014
https://doi.org/10.1109/VR.2014.6802050
Casallas JOliver JKelly JMerienne FGarbaya S(2013)Towards a Model for Predicting Intention in 3D Moving-Target Selection TasksProceedings, Part I, of the 10th International Conference on Engineering Psychology and Cognitive Ergonomics. Understanding Human Cognition - Volume 801910.5555/2964912.2964915(13-22)Online publication date: 21-Jul-2013
https://dl.acm.org/doi/10.5555/2964912.2964915
Casallas JOliver JKelly JMerienne FGarbaya S(2013)Towards a Model for Predicting Intention in 3D Moving-Target Selection TasksEngineering Psychology and Cognitive Ergonomics. Understanding Human Cognition10.1007/978-3-642-39360-0_2(13-22)Online publication date: 2013
https://doi.org/10.1007/978-3-642-39360-0_2

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