Abstract
This paper describes the process by which we have constructed an adaptive system for external representation (ER) selection support, designed to enhance users’ ER reasoning performance. We describe how our user model has been constructed – it is a Bayesian network with values seeded from data derived from experimental studies. The studies examined the effects of users’ background knowledge-of-external representations (KER) upon performance and their preferences for particular information display forms across a range of database query types.
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Casner, A.M.: A task-analytic approach to the automated design of information graphics. PhD thesis, University of Pittsburgh (1990)
Cheng, P.C.-H.: Functional roles for the cognitive analysis of diagrams in problem solving. In: Cottrell, G.W. (ed.) Proceedings of the 18th Annual Conference of the Cognitive Science Society, pp. 207–212. Lawrence Erlbaum Associates, Mahwah (1996)
Cox, R.: Representation construction, externalised cognition and individual differences. Learning and Instruction 9, 343–363 (1999)
Cox, R., Grawemeyer, B.: The mental organisation of external representations. In: European Cognitive Science Conference (EuroCogSci), Osnabrück (2003)
Cox, R., Romero, P., du Boulay, B., Lutz, R.: A cognitive processing perspective on student programmers’ ‘graphicacy’. In: Blackwell, A.F., Marriott, K., Shimojima, A. (eds.) Diagrams 2004. LNCS (LNAI), vol. 2980, pp. 344–346. Springer, Heidelberg (2004)
Day, R.: Alternative representations. In: Bower, G. (ed.) The Psychology of Learning and Motivation vol. 22, pp. 261–305 (1988)
Grawemeyer, B., Cox, R.: A Bayesian approach to modelling user’s information display preferences. In: Ardissono, L., Brna, P., Mitrović, A. (eds.) UM 2005. LNCS (LNAI), vol. 3538, pp. 225–230. Springer, Heidelberg (2005)
Humphreys, G.W., Riddoch, M.J.: Visual object processing: A cognitive neuropsychological approach. Lawrence Erlbaum Associates, Hillsdale (1987)
Jameson, A., Gromann-Hutter, B., March, L., Rummer, R.: Creating an empirical basis for adaptation decisions. In: Lieberman, H. (ed.) IUI 2000: International Conference on Intelligent User Interfaces (2000)
Kirby, J.R., Moore, P.J., Schofield, N.J.: Verbal and visual learning styles. Contemporary educational psychology 13, 169–184 (1988)
Mackinlay, J.D.: Automating the design of graphical representations of relational information. ACM Transactions on Graphics 5(2), 110–141 (1986)
Mitchell, T.M. (ed.): Machine learning. McGraw Hill, New York (1997)
Norman, D.A. (ed.): Things that make us smart. Addison-Wesley, MA (1993)
Novick, L.R., Hurley, S.M., Francis, M.: Evidence for abstract, schematic knowledge of three spatial diagram representations. Memory & Cognition 27(2), 288–308 (1999)
Pearl, J. (ed.): Probabilistic reasoning in intelligent systems: Networks of Plausible Inference. Morgan Kaufmann, San Francisco (1988)
Roth, S., Mattis, J.: Interactive graphic design using automatic presentation knowledge. Human-Factors in Computing Systems, 112–117 (1994)
Stenning, K., Cox, R., Oberlander, J.: Contrasting the cognitive effects of graphical and sentential logic teaching: Reasoning, representation and individual differences. Language and Cognitive Processes 10(3/4), 333–354 (1995)
Vessey, I.: Cognitive fit: A theory-based analysis of the graphs versus tables literature. Decision Sciences 22, 219–241 (1991)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2005 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Grawemeyer, B., Cox, R. (2005). Graphical Data Displays and Database Queries: Helping Users Select the Right Display for the Task. In: Butz, A., Fisher, B., Krüger, A., Olivier, P. (eds) Smart Graphics. SG 2005. Lecture Notes in Computer Science, vol 3638. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11536482_5
Download citation
DOI: https://doi.org/10.1007/11536482_5
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-28179-5
Online ISBN: 978-3-540-31905-4
eBook Packages: Computer ScienceComputer Science (R0)