Investigating the Effect of Visualization on User Performance of Information Systems

This research investigated if and how users using an information visualization system perform differently from those using a traditional information retrieval system. A between-subjects experiment was conducted involving 32 subjects. One group of subjects engaged the visually oriented CiteSpace system; the remaining subjects searched the textual-based Web of Science system. The results indicated that subjects using the CiteSpace system spent significantly less time, felt significantly more satisfied, and performed significantly fewer mouse clicks than those using the Web of Science system. These results indicate that it would be helpful to consider different visualization methods to represent and organize information in the design of information retrieval systems.

[1]  Chaomei Chen,et al.  Design and evaluation of the tightly coupled perceptual-cognitive tasks in knowledge domain visualization , 2009 .

[2]  Sherry Koshman Comparing usability between a visualization and text-based system for information retrieval , 2004, J. Documentation.

[3]  Allison Woodruff,et al.  Using thumbnails to search the Web , 2001, CHI.

[4]  Ian J. Deary,et al.  The reliability of Riding’s Cognitive Style Analysis test , 2003 .

[5]  Gary Marchionini,et al.  Information Seeking in Electronic Environments , 1995 .

[6]  Chaomei Chen,et al.  Information Visualization: Beyond the Horizon , 2006 .

[7]  Nicholas J. Belkin,et al.  Investigating information retrieval support techniques for different information-seeking strategies , 2010 .

[8]  Xiaojun Yuan,et al.  Seeking information with an information visualization system: a study of cognitive styles , 2011, Inf. Res..

[9]  Susan T. Dumais,et al.  Optimizing search by showing results in context , 2001, CHI.

[10]  Christine L. Lisetti,et al.  Proceedings of the 13th International Conference on Human Computer Interaction , 2009 .

[11]  Nicholas J. Belkin,et al.  The TREC Interactive Tracks: Putting the User into Search , 2005 .

[12]  Anselm Spoerri Visualizing meta search results: Evaluating the metacrystal toolset , 2006, ASIST.

[13]  Niklas Elmqvist,et al.  CiteWiz: a tool for the visualization of scientific citation networks , 2007 .

[14]  Nicholas J. Belkin,et al.  Intelligent Information Retrieval: Whose Intelligence? , 1996, ISI.

[15]  Harald Reiterer,et al.  INSYDER: a content-based visual-information-seeking system for the Web , 2005, International Journal on Digital Libraries.

[16]  Chaomei Chen,et al.  Adapting the cognitive walkthrough method to assess the usability of a knowledge domain visualization , 2005, IEEE Symposium on Information Visualization, 2005. INFOVIS 2005..

[17]  Iadh Ounis,et al.  Using Hierarchical Clustering and Summarisation Approaches for Web Retrieval: Glasgow at the TREC 2002 Interactive Track , 2002, TREC.

[18]  Xiaojun Yuan,et al.  Effects of Domain Knowledge on User Performance and Perception in a Knowledge Domain Visualization System , 2013, HCI.

[19]  Pia Borlund,et al.  Experimental components for the evaluation of interactive information retrieval systems , 2000, J. Documentation.

[20]  José Luis Vicedo González,et al.  TREC: Experiment and evaluation in information retrieval , 2007, J. Assoc. Inf. Sci. Technol..

[21]  Nicholas J. Belkin,et al.  Evaluation of a tool for visualization of information retrieval results , 1996, SIGIR '96.

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