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".
Copyrights notice
The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
Orang ramai dibanjiri di bawah jumlah maklumat yang besar dan mereka sering bimbang tentang membuat pilihan yang tepat daripada ini. Sokongan pengguna interaktif oleh sistem perkhidmatan maklumat seperti perkhidmatan concierge akan membantu mereka dengan berkesan. Walau bagaimanapun, interaksi manusia-mesin masih tidak mempunyai sifat semula jadi dan bertimbang rasa walaupun penggunaan sistem pintar secara meluas. Sistem perlu menganggar minat pengguna untuk meningkatkan interaksi dan menyokong pilihan. Kami mencadangkan pendekatan baru untuk menganggar minat, yang berdasarkan hubungan antara dinamik pergerakan mata pengguna, iaitu, mod kawalan endogen saccades, dan persembahan proaktif mesin bagi kandungan visual. Di bawah fasa pembentangan yang direka khas untuk membuat pengguna menyatakan saccades endogen, kami menganalisis struktur masa antara saccades dan acara pembentangan. Kami takrifkan Rintangan sebagai ciri kelewatan masa baharu yang mewakili tempoh pandangan pengguna kekal pada kandungan yang dibentangkan sebelum ini tanpa mengira acara seterusnya. Dalam keputusan eksperimen yang diperoleh daripada 10 subjek, kami mengesahkan bahawa Rintangan ialah penunjuk yang baik untuk menganggar minat kebanyakan subjek (75% kejayaan dalam 28 eksperimen pada 7 subjek). Ini menunjukkan ketepatan yang lebih tinggi daripada anggaran minat konvensional berdasarkan tempoh atau kekerapan pandangan.
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Salinan
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
Salinan
@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},}
Salinan
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 -