Information Retrieval Experience (IRX): Towards a Human-Centered Personalized Model of Relevance
2010 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology. August 31 - September 3, 2010, Toronto, Canada.
4 Pages Posted: 21 Apr 2017
Date Written: August 31, 2010
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 nontraditional human-centered, personalized perspective on IR.
Keywords: User eXperience (UX), Information Retrieval (IR), Personalization, Human-Centered, Emotion, Relevance
JEL Classification: C99,D89
Suggested Citation: Suggested Citation