Article thumbnail
Location of Repository

Building for users not for experts: designing a visualization of the literature domain

By S. Faisal, P. Cairns and A. Blandford

Abstract

As researchers we are constantly working with academic literature. Literature data is growing exponentially. Interacting with this huge amount of information has been a challenge for the field of HCI for years. The goal is to assist users in making sense of this information by producing usable designs. Information Visualization (InfoVis) augments users' cognition when interacting with complex data structures. Although the use of InfoVis as a tool for representing literature data is not new, we have found that most of the existing Literature Knowledge Domain Visualizations (LKDViz) target specialists known as domain analysts who study publication patterns. Our goal is to design a LKDViz tool for academic users. Due to the diversity of academic literature users we captured their experiences and used it as the main source for our design. Interestingly, this method generated design criteria that have not been applied in most of the academic literature visualizations

Topics: Information visualization, literature knowledge domain, user experience
Publisher: IEEE Computer Society Press
Year: 2007
DOI identifier: 10.1109/iv.2007.32
OAI identifier: oai:eprints.ucl.ac.uk.OAI2:16817
Provided by: UCL Discovery

Suggested articles

Citations

  1. (1995). An organic user interface for searching citation links.
  2. (2004). Analytical usability evaluation for Digital Libraries: a case study.
  3. (1998). Basics of Qualitative Research: Techniques and Procedures for Developing Grounded Theory.
  4. (2006). Developing User Requirements for Visualizations of Literature Knowledge Domains.
  5. (1990). Envisioning Information. Graphics Press,
  6. (1981). Graphics and Graphics Information Processing.
  7. prefuse: A Toolkit for Interactive Information Visualization.
  8. (2004). Searching for intellectual turning points: Progressive Knowledge Domain Visualization.
  9. (2006). Subjective Information Visualizations.
  10. (2000). Visualizing digital library search results with categorical and hierarchical axes’,
  11. (2003). Visualizing Knowledge Domains.
  12. (1996). Visualizing search results: some alternatives to query-document similarity.

To submit an update or takedown request for this paper, please submit an Update/Correction/Removal Request.