Is Visualization Usable for Displaying Web Search Results in an Exploratory Search Context?

Information visualization is defined as an interactive and graphic amplifying cognition. Moreover, the field of information retrieval is the original scope of information visualization. Nevertheless, many problems remain. The exploratory research information is presented as a task context conducive to the use of visualization. The research aims to identify the dynamic and interactive graphics that use a search visual interface (versus text), and the gain in terms of usability compared to strategic and tactical requirements of the task of exploratory search on the Web exploratory type. The theoretical, conceptual and methodological framework is presented.

[1]  John E. Leide,et al.  Controlled user evaluations of information visualization interfaces for text retrieval: Literature review and meta-analysis , 2008 .

[2]  Ben Shneiderman,et al.  Readings in information visualization - using vision to think , 1999 .

[3]  Chris North,et al.  Information Visualization , 2008, Lecture Notes in Computer Science.

[4]  Monica M. C. Schraefel,et al.  Building Knowledge: What's beyond Keyword Search? , 2009, Computer.

[5]  Dawid Weiss,et al.  A survey of Web clustering engines , 2009, CSUR.

[6]  Gary Marchionini,et al.  Exploratory search , 2006, Commun. ACM.

[7]  Diane Kelly,et al.  Interactive Information Seeking Behaviour and Retrieval , 2011 .

[8]  Catherine Plaisant,et al.  Seven Guiding Scenarios for Information Visualization Evaluation , 2011 .

[9]  Max L. Wilson An analytical inspection framework for evaluating the search tactics and user profiles supported by information seeking interfaces , 2009 .

[10]  Donna K. Harman,et al.  Collaborative information seeking and retrieval , 2006 .

[11]  Carol Collier Kuhlthau,et al.  A Principle of Uncertainty for Information seeking , 1993, J. Documentation.

[12]  Chris North,et al.  07221 Executive Summary - Information Visualization - Human-Centered Issues in Visual Representation, Interaction, and Evaluation , 2007, Information Visualization - Human-Centered Issues in Visual Representation, Interaction, and Evaluation.

[13]  M. Sheelagh T. Carpendale,et al.  Heuristics for information visualization evaluation , 2006, BELIV '06.

[14]  M. Sheelagh T. Carpendale,et al.  Evaluating Information Visualizations , 2008, Information Visualization.

[15]  N. Belkin,et al.  A classification of interactions with information , 2002 .

[16]  Catherine Plaisant,et al.  The challenge of information visualization evaluation , 2004, AVI.

[17]  Ryen W. White,et al.  WWW 2007 / Track: Browsers and User Interfaces Session: Personalization Investigating Behavioral Variability in Web Search , 2022 .

[18]  Felix Naumann,et al.  Data fusion , 2009, CSUR.

[19]  Marcia J. Bates,et al.  The design of browsing and berrypicking techniques for the online search interface , 1989 .

[20]  Gary Marchionini Toward human‐computer information retrieval , 2007 .

[21]  Margit Pohl,et al.  Methods for the evaluation of an interactive InfoVis tool supporting exploratory reasoning processes , 2006, BELIV '06.

[22]  Chaomei Chen,et al.  Top 10 Unsolved Information Visualization Problems , 2005, IEEE Computer Graphics and Applications.

[23]  Andrei Broder,et al.  A taxonomy of web search , 2002, SIGF.

[24]  Martin J. Eppler,et al.  Visualization summit 2007: ten research goals for 2010 , 2007 .

[25]  Ryen W. White,et al.  Exploratory Search: Beyond the Query-Response Paradigm , 2009, Exploratory Search: Beyond the Query-Response Paradigm.

[26]  Donald A. Norman,et al.  Things that make us smart , 1979 .

[27]  Brenda Dervin,et al.  From the mind’s eye of the user: The sense-making qualitative-quantitative methodology. , 1992 .

[28]  Jin Zhang Visualization for Information Retrieval , 2008, The Information Retrieval Series.

[29]  Nicholas J. Belkin,et al.  Interactive information retrieval: history and background , 2011, Interactive Information Seeking, Behaviour and Retrieval.

[30]  Ben Shneiderman,et al.  Users can change their web search tactics: Design guidelines for categorized overviews , 2008, Inf. Process. Manag..

[31]  Marco Winckler,et al.  On evaluating information visualization techniques , 2002, AVI '02.

[32]  Colin Ware,et al.  Information Visualization: Perception for Design , 2000 .

[33]  Eliane Regina de Almeida Valiati,et al.  Using multi-dimensional in-depth long-term case studies for information visualization evaluation , 2008, BELIV.

[34]  Ben Shneiderman,et al.  The Craft of Information Visualization: Readings and Reflections , 2003 .

[35]  Ben Shneiderman,et al.  From Keyword Search to Exploration: Designing Future Search Interfaces for the Web , 2010, Found. Trends Web Sci..

[36]  Jim Holder,et al.  User interfaces , 1985, ALET.

[37]  Chris North,et al.  Toward measuring visualization insight , 2006, IEEE Computer Graphics and Applications.

[38]  Martin J. Eppler,et al.  Visualization Summit 2007: Ten Research Goals for 2010 , 2007, Inf. Vis..

[39]  Soo Young Rieh,et al.  Cuisine: Classification using stylistic feature sets and-or name-based feature sets , 2010 .

[40]  Jin Zhang Benchmarks and Evaluation Criteria for Information Retrieval Visualization , 2008 .

[41]  Marti A. Hearst Search User Interfaces , 2009 .

[42]  Jack D. Glazier,et al.  Qualitative Research in Information Management , 1992 .

[43]  Chris North,et al.  Workshop report: information visualization-human-centered issues in visual representation, interaction, and evalution , 2007 .

[44]  Mark Sanderson,et al.  A review of factors influencing user satisfaction in information retrieval , 2010 .