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By Laura R. Novick (auth.), Dave Barker-Plummer, Richard Cox, Nik Swoboda (eds.)
This booklet constitutes the refereed court cases of the 4th overseas convention on conception and alertness of Diagrams, Diagrams 2006, held in Stanford, CA, united states in June 2006.
The thirteen revised complete papers, nine revised brief papers, and 12 prolonged abstracts provided including 2 keynote papers and a pair of educational papers have been rigorously reviewed and chosen from approximately eighty submissions. The papers are geared up in topical sections on diagram comprehension through people and machines, notations: heritage, layout and formalization, diagrams and schooling, reasoning with diagrams via people and machines, in addition to mental matters in comprehension, construction and communication.
Read Online or Download Diagrammatic Representation and Inference: 4th International Conference, Diagrams 2006, Stanford, CA, USA, June 28-30, 2006. Proceedings PDF
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Generation of texts for information graphics. In Proceedings of the 7th European Workshop on Natural Language Generation EWNLG’99, pages 49–58, 1999. 9. Marek J. Druzdzel and Linda C. van der Gaag. ’. IEEE Transactions on Knowledge and Data Engineering, 12:481–486, 2000. Communicative Signals as the Key to Automated Understanding 39 10. Stephanie Elzer. A Probabilistic Framework for the Recognition of Intention in Information Graphics. PhD thesis, University of Delaware, December 2005. 11. Stephanie Elzer, Sandra Carberry, Daniel Chester, Seniz Demir, Nancy Green, Ingrid Zukerman, and Keith Trnka.
This paper focuses on the communicative signals that result from these design choices. It begins by presenting a very brief overview of our system for inferring the intended message of a bar chart. It then describes the types of communicative signals that our system extracts from simple bar charts, and provides several examples that illustrate how different communicative signals impact the message that is recognized by our implemented and evaluated system. It concludes by discussing the applications that we envision for our system.
In spite of this amazing development, the cognitive benefits of animated illustrations for the better comprehension of technical or scientific documents still remain hypothetical (Bétrancourt & Tversky, 2000; Tversky, Bauer-Morrison & Bétrancourt, 2002). Some of the research shows a positive effect of animation in complex system comprehension (Mayer; 2001; Hidrio & Jamet, 2002; Rieber, Tzeng & Tribble, 2004; Boucheix & Schneider, submitted), but much other research shows no effect (Palmiter & Elkerton, 1993, Rouet, Merlet, Ros, Richard & Michaud, 2002) or a negative effect (Lowe, 1999; Schnotz & Grzondziel, 1999 and recently Mayer, Hegarty, Mayer & Campbell, 2005).