Aiming for User Experience in Information Retrieval: Towards User-Centered Relevance (USR)

Frans van der Sluis, Elisabeth M.A.G. van Dijk, Egon van den Broek

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

    2 Citations (Scopus)
    47 Downloads (Pure)

    Abstract

    As widely recognized, there is more to relevance than topicality. By looking at the user experience of Information Retrieval (IR), this proposal takes a broader perspective on relevance. Several facets of relevance are structured according to how the user will experience an information object. In particular, the antecedents and consequences of positive affect are discussed. The consequences of positive affect are related to the goal of an IR system, whereas features to derive the antecedents of positive affect from information objects are proposed. The features are combined in a model of relevance, consisting of three factors: topicality, understandability, and affective value. Moreover, it is discussed how the model can be evaluated through methods based on user studies.
    Original languageUndefined
    Title of host publicationProceedings of the 33rd Annual ACM SIGIR Conference
    EditorsHsin-Hsi Chen, Efthimis N. Efthimiadis, Jacques Savoy, Fabio Crestani, Stephane Marchand-Maillet
    Place of PublicationNew York
    PublisherAssociation for Computing Machinery (ACM)
    Pages924-924
    Number of pages1
    ISBN (Print)978-1-4503-0153-4
    DOIs
    Publication statusPublished - 19 Jul 2010
    Event33rd Annual International ACM/SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2010 - Geneva, Switzerland
    Duration: 19 Jul 201023 Jul 2010
    Conference number: 33

    Publication series

    Name
    PublisherACM

    Conference

    Conference33rd Annual International ACM/SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2010
    Abbreviated titleSIGIR
    CountrySwitzerland
    CityGeneva
    Period19/07/1023/07/10

    Keywords

    • METIS-275629
    • Algorithms
    • Experimentation
    • IR-72524
    • Relevance
    • HMI-HF: Human Factors
    • Human Factors
    • EWI-18270
    • Positive Affect
    • HMI-SLT: Speech and Language Technology
    • HMI-IE: Information Engineering
    • User Experience

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