Please use this identifier to cite or link to this item:
https://hdl.handle.net/20.500.14279/2358
Title: | Visual analysis of document triage data | Authors: | Zhao, Geng Laramee, Robert S. Buchanan, George R. Loizides, Fernando |
metadata.dc.contributor.other: | Λοϊζίδης, Φερνάντο | Major Field of Science: | Natural Sciences | Field Category: | Computer and Information Sciences | Keywords: | Information theory;Information visualization;Computer science | Issue Date: | 2011 | Source: | International Conference on Imaging Theory and Applications, and the International Conference on Information Visualization Theory and Applications, 2011, Vilamoura, Portugal | Link: | http://www.imagapp.visigrapp.org/IMAGAPP2011/home.asp | 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 visualizations 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 | URI: | https://hdl.handle.net/20.500.14279/2358 | Type: | Conference Papers | Affiliation : | City University London | Publication Type: | Peer Reviewed |
Appears in Collections: | Δημοσιεύσεις σε συνέδρια /Conference papers or poster or presentation |
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