Enhanced Task Modelling for Systematic Identification and Explicit Representation of Human Errors Conference Paper uri icon


  • IFIP International Federation for Information Processing 2015. EvolutionWorks supports exploratory browsing of the academic paper citation network with an animated and zoom-able visualization that helps researchers explore the conceptual space that emerges from the relationships between academic papers. Metaphorically speaking, a researcher starts out with the seed of an idea that will grow into an unwieldy set of potentially useful papers that the researcher must prune into a final reading list. Accordingly, EvolutionWorks provides novel affordances to explore the citation network based on this seed-grow-prune model. First, kinetic layering represents abstract document properties as physical properties in a force-directed layout. Second, a unified layout shows the network graph and documents in a single view. Third, the focus-context-focus hop is a way to change focus from paper to paper that keeps researchers aware of the immediate context. Finally, if there is a tight cluster of papers, the system automatically creates cluster summary titles that are easier to read.

published proceedings

  • Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

author list (cited authors)

  • Fahssi, R., Martinie, C., & Palanque, P.

citation count

  • 23

complete list of authors

  • Fahssi, Racim||Martinie, CĂ©lia||Palanque, Philippe

publication date

  • January 2015