Framework of a Probabilistic Gaze Mapping Model for Reading

Michael Carl

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    Abstract

    One of the aims of the Eye-to-IT project is to investigate the possibility of using eye-tracking devices for detecting situations of targeted help for human translators. A prerequisite for automated assistance in human translation is the understanding and modelling of reading behaviour, the ability to follow human eye movements and to map gaze sample points - the output of eyetracking devices - onto words and symbols fixated.
    Within the Eye-to-IT project we currently use a so-called “Gaze-toWord Mapping” (GWM) device (Spakov 2008) that first computes possible fixations from sequences of gaze sample coordinates and then maps the fixations on the words which are likely to be fixated.
    This paper suggests an alternative framework of a probabilistic gaze mapping model for reading, in which fixations on textual objects are directly computed from the gaze sample points. The framework integrates various knowledge sources with the aim to compute the most likely fixations on words and symbols on the basis of the available data.
    Original languageEnglish
    Title of host publicationLooking at Eyes : Eye-Tracking Studies of Reading and Translation Processing
    EditorsSusanne Göpferich, Inger Mees, Arnt Lykke Jakobsen
    Number of pages10
    Place of PublicationFrederiksberg
    PublisherSamfundslitteratur
    Publication date2008
    Pages193-202
    ISBN (Print)9788759314364
    ISBN (Electronic)9788759397558, 9788759398005
    Publication statusPublished - 2008
    SeriesCopenhagen Studies in Language
    Volume36
    ISSN0905-7269

    Cite this

    Carl, M. (2008). Framework of a Probabilistic Gaze Mapping Model for Reading. In S. Göpferich, I. Mees, & A. Lykke Jakobsen (Eds.), Looking at Eyes: Eye-Tracking Studies of Reading and Translation Processing (pp. 193-202). Samfundslitteratur. Copenhagen Studies in Language, Vol.. 36