Do You See What I See: Towards A Gaze-Based Surroundings Query Processing System

Shinjae Kang, Byungjo Kim, Sangrok Han, Hyogon Kim

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    13 Citations (Scopus)

    Abstract

    A smart car can be defined in various dimensions. In this paper, we consider a gaze-based driver query processing system where the vehicle recognizes where the driver is looking at when she asks about roadside landmarks. By linking the tracked gaze of the driver with annotated maps and geo-location information, the system can let the vehicle provide immediate answers to the driver. We discuss the design and implementation of the system, along with the test results during real driving.

    Original languageEnglish
    Title of host publicationAdjunct Proceedings of the 7th International Conference on Automotive User Interfaces and Interactive VehicularApplications, AutomotiveUI 2015
    PublisherAssociation for Computing Machinery
    Pages93-100
    Number of pages8
    ISBN (Electronic)9781450337366
    DOIs
    Publication statusPublished - 2015 Sept 1
    Event7th International Conference on Automotive User Interfaces and Interactive Vehicular Applications, AutomotiveUI 2015 - Nottingham, United Kingdom
    Duration: 2015 Sept 12015 Sept 3

    Publication series

    NameAdjunct Proceedings of the 7th International Conference on Automotive User Interfaces and Interactive VehicularApplications, AutomotiveUI 2015
    Volume2015-January

    Conference

    Conference7th International Conference on Automotive User Interfaces and Interactive Vehicular Applications, AutomotiveUI 2015
    Country/TerritoryUnited Kingdom
    CityNottingham
    Period15/9/115/9/3

    Bibliographical note

    Funding Information:
    This work was supported by the Ministry of Education, Science and Technology of Korea through the Mid-career Researcher Program under NRF Grant 2011-0028892.

    Publisher Copyright:
    © 2015 ACM.

    Keywords

    • driving
    • Gaze tracking
    • map
    • query processing
    • safety

    ASJC Scopus subject areas

    • Artificial Intelligence
    • Human-Computer Interaction
    • Automotive Engineering

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