Information Retrieval eXperience (IRX): Towards a Human-Centered Personalized Model of Relevance

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

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    4 Citations (Scopus)
    76 Downloads (Pure)

    Abstract

    We approach Information Retrieval (IR) from a User eXperience (UX) perspective. Through introducing a model for Information Retrieval eXperience (IRX), this paper operationalizes a perspective on IR that reaches beyond topicality. Based on a document's topicality, complexity, and emotional value, a model of relevance is proposed to influence user's IRX and, consequently, the synthesis and use of the retrieved information. Additionally, methods are discussed to assess UX through interaction and feedback mechanisms. As such, the proposed multi-dimensional IRX model is highly user-dependent and determines document's relevance from a non-traditional human-centered, personalized perspective on IR.
    Original languageUndefined
    Title of host publicationIEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology, WI-IAT 2010
    EditorsO. Hoeber, Y. Li, X.J. Huang
    Place of PublicationLos Alamitos, CA, USA
    PublisherIEEE Computer Society
    Pages322-325
    Number of pages4
    ISBN (Print)9781424484829
    DOIs
    Publication statusPublished - 31 Aug 2010
    EventIEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology, WI-IAT 2010 - Toronto, Canada
    Duration: 31 Aug 20103 Sep 2010

    Publication series

    Name
    PublisherIEEE Computer Society

    Workshop

    WorkshopIEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology, WI-IAT 2010
    Period31/08/103/09/10
    Other31 Aug - 3 Sep 2010

    Keywords

    • IR-75052
    • METIS-276166
    • Information Retrieval (IR)
    • Human-Centered
    • Personalization
    • HMI-HF: Human Factors
    • User eXperience (UX)
    • Emotion
    • EWI-18893
    • HMI-MI: MULTIMODAL INTERACTIONS
    • HMI-IE: Information Engineering
    • Relevance

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