Enhanced Task Modelling for Systematic Identification and Explicit Representation of Human Errors
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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.
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.
complete list of authors
Fahssi, Racim||Martinie, Célia||Palanque, Philippe