Cardiff University | Prifysgol Caerdydd ORCA
Online Research @ Cardiff 
WelshClear Cookie - decide language by browser settings

Visual analysis of document triage data.

Geng, Zhao, Laramee, Robert S., Loizides, Fernando and Buchanan, George 2011. Visual analysis of document triage data. Presented at: International Conference on Information Visualization Theory and Applications, Algrave, Portugal, 5-7 March 2011. Proceedings of the International Conference on Imaging Theory and Applications and International Conference on Information Visualization Theory and Applications. pp. 151-163. 10.5220/0003320401510163

[img]
Preview
PDF - Accepted Post-Print Version
Available under License Creative Commons Attribution Non-commercial No Derivatives.

Download (2MB) | Preview

Abstract

As part of the information seeking process, a large amount of effort is invested in order to study and understand how information seekers search through documents such that they can assess their relevance. This search and assessment of document relevance, known as document triage, is an important information seeking process, but is not yet well understood. Human-computer interaction (HCI) and digital library scientists have undertaken a series of user studies involving information seeking, collected a large amount of data describing information seekers’ behavior during document search. Next to this, we have witnessed a rapid increase in the number of off-the-shelf visualization tools which can benefit document triage study. Here we set out to utilize existing information visualization techniques and tools in order to gain a better understanding of the large amount of user-study data collected by HCI and digital library researchers. We describe the range of available tools and visualiz ations we use in order to increase our knowledge of document triage. Treemap, parallel coordinates, stack graph, matrix chart, as well as other visualization methods, prove to be insightful in exploring, analyzing and presenting user behavior during document triage. Our findings and visualizations are evaluated by HCI and digital library researchers studying this problem

Item Type: Conference or Workshop Item (Paper)
Status: Published
Schools: Computer Science & Informatics
ISBN: 978-989-8425-46-1
Date of First Compliant Deposit: 22 August 2019
Last Modified: 10 Sep 2019 13:15
URI: http://orca.cardiff.ac.uk/id/eprint/125081

Actions (repository staff only)

Edit Item Edit Item

Downloads

Downloads per month over past year

View more statistics