Focus Paragraph Detection for Online Zero-Effort Queries: Lessons Learned from Eye-Tracking Data

Christin Seifert, Annett Mitschick, Jörg Schlötterer, Raimund Dachselt

    Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

    1 Citation (Scopus)

    Abstract

    In order to realize zero-effort retrieval in a web-context, it is crucial to identify the part of the web page the user is focusing on. In this paper, we investigate the identification of focus paragraphs in web pages. Starting from a naive baseline for paragraph and focus paragraph detection, we conducted an eye-tracking study to evaluate the most promising features. We found that single features (mouse position, paragraph position, mouse activity) are less predictive for gaze which confirms findings from other studies. The results indicate that an algorithm for focus paragraph detection needs to incorporate a weighted combination of those features as well as additional features, e.g. semantic context derived from the user's web history.
    Original languageEnglish
    Title of host publicationCHIIR'17. Proceedings of the 2017 Conference on Conference Human Information Interaction and Retrieval
    PublisherACM Press
    Pages301-304
    Number of pages4
    ISBN (Print)978-1-4503-4677-1
    DOIs
    Publication statusPublished - 2017
    EventConference Human Information Interaction and Retrieval, CHIIR 2017 - Oslo, Norway
    Duration: 7 Mar 201711 Mar 2017
    http://sigir.org/chiir2017/

    Conference

    ConferenceConference Human Information Interaction and Retrieval, CHIIR 2017
    Abbreviated titleCHIIR 2017
    CountryNorway
    CityOslo
    Period7/03/1711/03/17
    Internet address

    Keywords

    • eye tracking, focus paragraph detection, zero-effort queries

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