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

doi:10.1109/WI-IAT.2010.222

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

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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 language	Undefined
Title of host publication	IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology, WI-IAT 2010
Editors	O. Hoeber, Y. Li, X.J. Huang
Place of Publication	Los Alamitos, CA, USA
Publisher	IEEE Computer Society
Pages	322-325
Number of pages	4
ISBN (Print)	9781424484829
DOIs	https://doi.org/10.1109/WI-IAT.2010.222
Publication status	Published - 31 Aug 2010
Event	IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology, WI-IAT 2010 - Toronto, Canada Duration: 31 Aug 2010 → 3 Sep 2010

Publication series

Name
Publisher	IEEE Computer Society

Workshop

Workshop	IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology, WI-IAT 2010
Period	31/08/10 → 3/09/10
Other	31 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

Access to Document

10.1109/WI-IAT.2010.222

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). IEEE Computer Society. https://doi.org/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. editor / O. Hoeber ; Y. Li ; X.J. Huang. Los Alamitos, CA, USA : IEEE Computer Society, 2010. pp. 322-325

@inproceedings{c848448c533a439bb4626841d2d79288,

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

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.",

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",

author = "{van der Sluis}, Frans and {van den Broek}, Egon and {van Dijk}, {Elisabeth M.A.G.}",

note = "10.1109/WI-IAT.2010.222 ; null ; Conference date: 31-08-2010 Through 03-09-2010",

year = "2010",

month = aug,

day = "31",

doi = "10.1109/WI-IAT.2010.222",

language = "Undefined",

isbn = "9781424484829",

publisher = "IEEE Computer Society",

pages = "322--325",

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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, IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology, WI-IAT 2010, 31/08/10. https://doi.org/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: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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N2 - 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.

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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KW - User eXperience (UX)

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KW - EWI-18893

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KW - HMI-IE: Information Engineering

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BT - IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology, WI-IAT 2010

A2 - Hoeber, O.

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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 https://doi.org/10.1109/WI-IAT.2010.222