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

  • 4 Citations

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
StatePublished - 31 Aug 2010

Publication series

Name
PublisherIEEE Computer Society

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Information retrieval
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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

Cite this

van der Sluis, F., van den Broek, E., & van Dijk, E. M. A. G. (2010). Information Retrieval eXperience (IRX): Towards a Human-Centered Personalized Model of Relevance. In O. Hoeber, Y. Li, & X. J. Huang (Eds.), IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology, WI-IAT 2010 (pp. 322-325). Los Alamitos, CA, USA: IEEE Computer Society. DOI: 10.1109/WI-IAT.2010.222

van der Sluis, Frans; van den Broek, Egon; van Dijk, Elisabeth M.A.G. / Information Retrieval eXperience (IRX): Towards a Human-Centered Personalized Model of Relevance.

IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology, WI-IAT 2010. ed. / O. Hoeber; Y. Li; X.J. Huang. Los Alamitos, CA, USA : IEEE Computer Society, 2010. p. 322-325.

Research output: Scientific - peer-reviewConference contribution

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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.",
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van der Sluis, F, van den Broek, E & van Dijk, EMAG 2010, Information Retrieval eXperience (IRX): Towards a Human-Centered Personalized Model of Relevance. in O Hoeber, Y Li & XJ Huang (eds), IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology, WI-IAT 2010. IEEE Computer Society, Los Alamitos, CA, USA, pp. 322-325. DOI: 10.1109/WI-IAT.2010.222

Information Retrieval eXperience (IRX): Towards a Human-Centered Personalized Model of Relevance. / van der Sluis, Frans; van den Broek, Egon; van Dijk, Elisabeth M.A.G.

IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology, WI-IAT 2010. ed. / O. Hoeber; Y. Li; X.J. Huang. Los Alamitos, CA, USA : IEEE Computer Society, 2010. p. 322-325.

Research output: Scientific - peer-reviewConference contribution

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AB - 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.

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van der Sluis F, van den Broek E, van Dijk EMAG. Information Retrieval eXperience (IRX): Towards a Human-Centered Personalized Model of Relevance. In Hoeber O, Li Y, Huang XJ, editors, IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology, WI-IAT 2010. Los Alamitos, CA, USA: IEEE Computer Society. 2010. p. 322-325. Available from, DOI: 10.1109/WI-IAT.2010.222