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An Interactive Visualization for Tabbed Browsing Behavior Analysis
Linnaeus University, Faculty of Technology, Department of Computer Science. University of Kaiserslautern, Germany. (ISOVIS)ORCID iD: 0000-0002-8585-3103
University of Kaiserslautern, Germany.
Linnaeus University, Faculty of Technology, Department of Computer Science. (ISOVIS)ORCID iD: 0000-0002-0519-2537
2014 (English)In: Computer Vision, Imaging and Computer Graphics: Theory and Applications / [ed] Sebastiano Battiato, Sabine Coquillart, Robert S. Laramee, Andreas Kerren, and José Braz, Springer, 2014, 69-84 p.Chapter in book (Refereed)
Abstract [en]

Web browsers are at the core of online user experience, enablinga wide range of Web applications, like communication, games, entertainment, development, etc. Additionally, given the variety and complexity of online-supported tasks, users have started parallelizing and organizing their online browser sessions by employing multiple browser windows and tabs. However, there are few solutions that support analysts and casual users in detecting and extracting patterns from these parallel browsing histories. In this paper we introduce WebComets, an interactive visualization for exploring multi-session multi-user parallel browsing logs. After highlighting visual and functional aspects of the system, we introduce a motif-based contextual search for enabling the filtering and comparison of user navigation patterns. We further highlight the functionality of WebComets with a use case. Our investigations suggest that parallel browser history visualization can offer better insight into user tabbed browsing behavior and support the recognition of online navigation patterns.

Place, publisher, year, edition, pages
Springer, 2014. 69-84 p.
Series
Communications in Computer and Information Science, ISSN 1865-0929 ; 458
Keyword [en]
tabbed browsing behavior visualization, parallel browsing history, time series, glyph-based techniques
National Category
Computer Science Human Computer Interaction
Research subject
Computer Science, Information and software visualization
Identifiers
URN: urn:nbn:se:lnu:diva-27938DOI: 10.1007/978-3-662-44911-0_5Scopus ID: 2-s2.0-84908553647ISBN: 978-3-662-44910-3 (print)OAI: oai:DiVA.org:lnu-27938DiVA: diva2:639422
Available from: 2013-08-07 Created: 2013-08-07 Last updated: 2015-06-08Bibliographically approved

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Cernea, DanielKerren, Andreas

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CiteExportLink to record
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Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf