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Multi-mode saliency dynamics model for analyzing gaze and attention

Published: 28 March 2012 Publication History

Abstract

We present a method to analyze a relationship between eye movements and saliency dynamics in videos for estimating attentive states of users while they watch the videos. The multi-mode saliency-dynamics model (MMSDM) is introduced to segment spatio-temporal patterns of the saliency dynamics into multiple sequences of primitive modes underlying the saliency patterns. The MMSDM enables us to describe the relationship by the local saliency dynamics around gaze points, which is modeled by a set of distances between gaze points and salient regions characterized by the extracted modes. Experimental results show the effectiveness of the proposed model to classify the attentive states of users by learning the statistical difference of the local saliency dynamics on gaze-paths at each level of attentiveness.

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  • (2022)Feasibility of Longitudinal Eye-Gaze Tracking in the WorkplaceProceedings of the ACM on Human-Computer Interaction10.1145/35308896:ETRA(1-21)Online publication date: 13-May-2022
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    cover image ACM Conferences
    ETRA '12: Proceedings of the Symposium on Eye Tracking Research and Applications
    March 2012
    420 pages
    ISBN:9781450312219
    DOI:10.1145/2168556
    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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    Published: 28 March 2012

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    Author Tags

    1. attentive state estimation
    2. saliency map
    3. switching linear dynamical system

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    ETRA '12
    ETRA '12: Eye Tracking Research and Applications
    March 28 - 30, 2012
    California, Santa Barbara

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    Cited By

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    • (2023)Using a Webcam Based Eye-tracker to Understand Students’ Thought Patterns and Reading Behaviors in Neurodivergent ClassroomsLAK23: 13th International Learning Analytics and Knowledge Conference10.1145/3576050.3576115(453-463)Online publication date: 13-Mar-2023
    • (2022)Evaluating Calibration-free Webcam-based Eye Tracking for Gaze-based User ModelingProceedings of the 2022 International Conference on Multimodal Interaction10.1145/3536221.3556580(224-235)Online publication date: 7-Nov-2022
    • (2022)Feasibility of Longitudinal Eye-Gaze Tracking in the WorkplaceProceedings of the ACM on Human-Computer Interaction10.1145/35308896:ETRA(1-21)Online publication date: 13-May-2022
    • (2022)Automated gaze-based mind wandering detection during computerized learning in classroomsUser Modeling and User-Adapted Interaction10.1007/s11257-019-09228-529:4(821-867)Online publication date: 11-Mar-2022
    • (2018)Gaze-Based Attention-Aware Cyberlearning TechnologiesMind, Brain and Technology10.1007/978-3-030-02631-8_6(87-105)Online publication date: 20-Dec-2018
    • (2016)Attending to AttentionProceedings of the 2016 CHI Conference Extended Abstracts on Human Factors in Computing Systems10.1145/2851581.2892329(1661-1669)Online publication date: 7-May-2016
    • (2016)Automatic gaze-based user-independent detection of mind wandering during computerized readingUser Modeling and User-Adapted Interaction10.1007/s11257-015-9167-126:1(33-68)Online publication date: 1-Mar-2016
    • (2015)Automatic Detection of Mind Wandering During Reading Using Gaze and PhysiologyProceedings of the 2015 ACM on International Conference on Multimodal Interaction10.1145/2818346.2820742(299-306)Online publication date: 9-Nov-2015
    • (2015)Estimation of browsing states in consumer decision processes from eye movements2015 3rd IAPR Asian Conference on Pattern Recognition (ACPR)10.1109/ACPR.2015.7486543(448-453)Online publication date: Nov-2015
    • (2015)Automatic Gaze-Based Detection of Mind Wandering with Metacognitive AwarenessUser Modeling, Adaptation and Personalization10.1007/978-3-319-20267-9_3(31-43)Online publication date: 11-Jun-2015
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