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
Les gens sont inondés d’énormes volumes d’informations et hésitent souvent à faire les bons choix parmi celles-ci. Le support interactif des utilisateurs par un système de services d'information tel que les services de conciergerie aidera efficacement ces personnes. Cependant, l’interaction homme-machine manque encore de naturel et de réflexion malgré l’utilisation généralisée des systèmes intelligents. Le système doit estimer l'intérêt de l'utilisateur pour améliorer l'interaction et soutenir les choix. Nous proposons une nouvelle approche pour estimer l'intérêt, basée sur la relation entre la dynamique des mouvements oculaires de l'utilisateur, c'est-à-dire le mode de contrôle endogène des saccades, et les présentations proactives de contenus visuels par la machine. Dans le cadre d'une phase de présentation spécialement conçue pour permettre à l'utilisateur d'exprimer les saccades endogènes, nous avons analysé les structures temporelles entre les saccades et les événements de présentation. Nous avons défini résistance en tant que nouvelle fonctionnalité de temporisation représentant la durée pendant laquelle le regard d'un utilisateur reste fixé sur le contenu précédemment présenté, quel que soit l'événement suivant. Dans les résultats expérimentaux obtenus auprès de 10 sujets, nous avons confirmé que résistance est un bon indicateur pour estimer l'intérêt de la plupart des sujets (75% de réussite dans 28 expériences sur 7 sujets). Cela a démontré une précision plus élevée que les estimations d’intérêt conventionnelles basées sur la durée ou la fréquence du regard.
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Takatsugu HIRAYAMA, Jean-Baptiste DODANE, Hiroaki KAWASHIMA, Takashi MATSUYAMA, "Estimates of User Interest Using Timing Structures between Proactive Content-Display Updates and Eye Movements" in IEICE TRANSACTIONS on Information,
vol. E93-D, no. 6, pp. 1470-1478, June 2010, doi: 10.1587/transinf.E93.D.1470.
Abstract: People are being inundated under enormous volumes of information and they often dither about making the right choices from these. Interactive user support by information service system such as concierge services will effectively assist such people. However, human-machine interaction still lacks naturalness and thoughtfulness despite the widespread utilization of intelligent systems. The system needs to estimate user's interest to improve the interaction and support the choices. We propose a novel approach to estimating the interest, which is based on the relationship between the dynamics of user's eye movements, i.e., the endogenous control mode of saccades, and machine's proactive presentations of visual contents. Under a specially-designed presentation phase to make the user express the endogenous saccades, we analyzed the timing structures between the saccades and the presentation events. We defined resistance as a novel time-delay feature representing the duration a user's gaze remains fixed on the previously presented content regardless of the next event. In experimental results obtained from 10 subjects, we confirmed that resistance is a good indicator for estimating the interest of most subjects (75% success in 28 experiments on 7 subjects). This demonstrated a higher accuracy than conventional estimates of interest based on gaze duration or frequency.
URL: https://global.ieice.org/en_transactions/information/10.1587/transinf.E93.D.1470/_p
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@ARTICLE{e93-d_6_1470,
author={Takatsugu HIRAYAMA, Jean-Baptiste DODANE, Hiroaki KAWASHIMA, Takashi MATSUYAMA, },
journal={IEICE TRANSACTIONS on Information},
title={Estimates of User Interest Using Timing Structures between Proactive Content-Display Updates and Eye Movements},
year={2010},
volume={E93-D},
number={6},
pages={1470-1478},
abstract={People are being inundated under enormous volumes of information and they often dither about making the right choices from these. Interactive user support by information service system such as concierge services will effectively assist such people. However, human-machine interaction still lacks naturalness and thoughtfulness despite the widespread utilization of intelligent systems. The system needs to estimate user's interest to improve the interaction and support the choices. We propose a novel approach to estimating the interest, which is based on the relationship between the dynamics of user's eye movements, i.e., the endogenous control mode of saccades, and machine's proactive presentations of visual contents. Under a specially-designed presentation phase to make the user express the endogenous saccades, we analyzed the timing structures between the saccades and the presentation events. We defined resistance as a novel time-delay feature representing the duration a user's gaze remains fixed on the previously presented content regardless of the next event. In experimental results obtained from 10 subjects, we confirmed that resistance is a good indicator for estimating the interest of most subjects (75% success in 28 experiments on 7 subjects). This demonstrated a higher accuracy than conventional estimates of interest based on gaze duration or frequency.},
keywords={},
doi={10.1587/transinf.E93.D.1470},
ISSN={1745-1361},
month={June},}
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TY - JOUR
TI - Estimates of User Interest Using Timing Structures between Proactive Content-Display Updates and Eye Movements
T2 - IEICE TRANSACTIONS on Information
SP - 1470
EP - 1478
AU - Takatsugu HIRAYAMA
AU - Jean-Baptiste DODANE
AU - Hiroaki KAWASHIMA
AU - Takashi MATSUYAMA
PY - 2010
DO - 10.1587/transinf.E93.D.1470
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E93-D
IS - 6
JA - IEICE TRANSACTIONS on Information
Y1 - June 2010
AB - People are being inundated under enormous volumes of information and they often dither about making the right choices from these. Interactive user support by information service system such as concierge services will effectively assist such people. However, human-machine interaction still lacks naturalness and thoughtfulness despite the widespread utilization of intelligent systems. The system needs to estimate user's interest to improve the interaction and support the choices. We propose a novel approach to estimating the interest, which is based on the relationship between the dynamics of user's eye movements, i.e., the endogenous control mode of saccades, and machine's proactive presentations of visual contents. Under a specially-designed presentation phase to make the user express the endogenous saccades, we analyzed the timing structures between the saccades and the presentation events. We defined resistance as a novel time-delay feature representing the duration a user's gaze remains fixed on the previously presented content regardless of the next event. In experimental results obtained from 10 subjects, we confirmed that resistance is a good indicator for estimating the interest of most subjects (75% success in 28 experiments on 7 subjects). This demonstrated a higher accuracy than conventional estimates of interest based on gaze duration or frequency.
ER -