Information Retrieval eXperience (IRX): Towards a human-centered personalized model of relevance

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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 languageEnglish
Title of host publicationProceedings - 2010 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Workshops, WI-IAT 2010
Number of pages4
Publication date2010
Pages322-325
Article number5614735
ISBN (Print)9780769541914
DOIs
Publication statusPublished - 2010
Event2010 3rd IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Workshops, WI-IAT 2010 - Toronto, ON, Canada
Duration: 31 Aug 20103 Sep 2010

Conference

Conference2010 3rd IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Workshops, WI-IAT 2010
LandCanada
ByToronto, ON
Periode31/08/201003/09/2010
SponsorIEEE Computer Society, Web Intelligence Consortium (WIC), Association for Computing Machinery (ACM), GenieKnows.com, Infobright
SeriesProceedings - 2010 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Workshops, WI-IAT 2010

    Research areas

  • Emotion, Human-centered, Information Retrieval (IR), Personalization, Relevance, User eXperience (UX)

ID: 337216207