The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
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The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
Cet article présente une étude utilisateur concernant les effets des dominances manuelles et oculaires sur les gestes de pointage. Le résultat de cette étude est applicable pour concevoir de nouvelles interfaces gestuelles proches de la cognition d'un utilisateur, intuitives et faciles à utiliser. L'étude des utilisateurs étudie la relation entre les dominances du participant et les gestes de pointage. Quatre groupes de participants – droitier dominant œil droit, droitier dominant œil gauche, gaucher dominant œil droit et gaucher dominant œil gauche – ont été préparés et les participants ont été invités à pointer les cibles sur un l’écran par leurs mains gauche et droite. Les erreurs de pointage parmi les différents groupes de participants sont calculées et comparées. Le résultat de cette étude utilisateur montre que l’utilisation d’yeux dominants produit de meilleurs résultats que l’utilisation d’yeux non dominants et que la précision augmente lorsque les cibles sont situées du même côté de l’œil dominant. Sur la base de ces propriétés intéressantes, une méthode permettant de trouver l'œil dominant pour les gestes de pointage est proposée. Cette méthode permet de trouver l’œil dominant d’un individu avec une précision de plus de 90 %.
Tomohiro MASHITA
Osaka University
Koichi SHINTANI
Osaka University
Kiyoshi KIYOKAWA
Nara Institute of Science and Technology
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Tomohiro MASHITA, Koichi SHINTANI, Kiyoshi KIYOKAWA, "Improving Pointing Direction Estimation by Considering Hand- and Ocular-Dominance" in IEICE TRANSACTIONS on Information,
vol. E103-D, no. 10, pp. 2168-2177, October 2020, doi: 10.1587/transinf.2019EDP7320.
Abstract: This paper introduces a user study regarding the effects of hand- and ocular-dominances to pointing gestures. The result of this study is applicable for designing new gesture interfaces which are close to a user's cognition, intuitive, and easy to use. The user study investigates the relationship between the participant's dominances and pointing gestures. Four participant groups—right-handed right-eye dominant, right-handed left-eye dominant, left-handed right-eye dominant and left-handed left-eye dominant—were prepared, and participants were asked to point at the targets on a screen by their left and right hands. The pointing errors among the different participant groups are calculated and compared. The result of this user study shows that using dominant eyes produces better results than using non-dominant eyes and the accuracy increases when the targets are located at the same side of dominant eye. Based on these interesting properties, a method to find the dominant eye for pointing gestures is proposed. This method can find the dominant eye of an individual with more than 90% accuracy.
URL: https://global.ieice.org/en_transactions/information/10.1587/transinf.2019EDP7320/_p
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@ARTICLE{e103-d_10_2168,
author={Tomohiro MASHITA, Koichi SHINTANI, Kiyoshi KIYOKAWA, },
journal={IEICE TRANSACTIONS on Information},
title={Improving Pointing Direction Estimation by Considering Hand- and Ocular-Dominance},
year={2020},
volume={E103-D},
number={10},
pages={2168-2177},
abstract={This paper introduces a user study regarding the effects of hand- and ocular-dominances to pointing gestures. The result of this study is applicable for designing new gesture interfaces which are close to a user's cognition, intuitive, and easy to use. The user study investigates the relationship between the participant's dominances and pointing gestures. Four participant groups—right-handed right-eye dominant, right-handed left-eye dominant, left-handed right-eye dominant and left-handed left-eye dominant—were prepared, and participants were asked to point at the targets on a screen by their left and right hands. The pointing errors among the different participant groups are calculated and compared. The result of this user study shows that using dominant eyes produces better results than using non-dominant eyes and the accuracy increases when the targets are located at the same side of dominant eye. Based on these interesting properties, a method to find the dominant eye for pointing gestures is proposed. This method can find the dominant eye of an individual with more than 90% accuracy.},
keywords={},
doi={10.1587/transinf.2019EDP7320},
ISSN={1745-1361},
month={October},}
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TY - JOUR
TI - Improving Pointing Direction Estimation by Considering Hand- and Ocular-Dominance
T2 - IEICE TRANSACTIONS on Information
SP - 2168
EP - 2177
AU - Tomohiro MASHITA
AU - Koichi SHINTANI
AU - Kiyoshi KIYOKAWA
PY - 2020
DO - 10.1587/transinf.2019EDP7320
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E103-D
IS - 10
JA - IEICE TRANSACTIONS on Information
Y1 - October 2020
AB - This paper introduces a user study regarding the effects of hand- and ocular-dominances to pointing gestures. The result of this study is applicable for designing new gesture interfaces which are close to a user's cognition, intuitive, and easy to use. The user study investigates the relationship between the participant's dominances and pointing gestures. Four participant groups—right-handed right-eye dominant, right-handed left-eye dominant, left-handed right-eye dominant and left-handed left-eye dominant—were prepared, and participants were asked to point at the targets on a screen by their left and right hands. The pointing errors among the different participant groups are calculated and compared. The result of this user study shows that using dominant eyes produces better results than using non-dominant eyes and the accuracy increases when the targets are located at the same side of dominant eye. Based on these interesting properties, a method to find the dominant eye for pointing gestures is proposed. This method can find the dominant eye of an individual with more than 90% accuracy.
ER -