Abstract
Especially in ill-defined problem spaces, more than one exploration way leads to a solution. But often visual analytics methods do not support the variety of problem solving strategies users might apply. Our study illustrates how knowledge on users’ problem solving strategies can be used in the participatory design process to make a visual analytics method more flexible for different user strategies. In order to provide the users a method which functions as a real scaffold it should allow them to choose their own problem solving strategy. Therefore, an important aim for evaluation should be to test the method’s flexibility.
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References
Aigner, W., Miksch, S., Müller, W., Schumann, H., Tominski, C.: Visual Methods for Analyzing Time-Oriented Data. IEEE T. Vis. Comput. Gr. 14, 47–60 (2008)
Bertini, E., Perer, A., Plaisant, C., Santucci, G.: BELIV 2008: Beyond time and errors – novel evaluation methods for information visualization. In: Proceedings of BELIV 2008, pp. 3913–3916. ACM Press, New York (2008)
Clark, A.: Being There. Putting Brain, Body, and World Together Again. The MIT Press, Cambridge (1997)
Friel, S.N., Curcio, F.R., Bright, G.W.: Making sense of graphs: Critical factors influencing comprehension and instructional implications. J. Res. Math. Educ. 32, 124–158 (2001)
Gick, M.L.: Problem-solving strategies. Educ. Psychol. 21, 99–120 (1986)
Grant, E.R., Spivey, M.J.: Eye movements and problem solving: Guiding attention guides thought. Psychol. Sci. 14, 462–466 (2003)
Jonassen, D.H.: Instructional design models for well-structured and ill-structured problem solving learning. Educ. Tech. Res. 45, 65–94 (1997)
Keim, D., Kriegel, H.-P., Ankerst, M.: Recursive Pattern: A Technique for Visualizing Very Large Amounts of Data. In: Proceedings of IEEE Visualization (Vis 1995), pp. 279–286 (1995)
Lammarsch, T., Aigner, W., Bertone, A., Gärtner, J., Mayr, E., Miksch, S., Smuc, M.: Hierarchical Temporal Patterns and Interactive Aggregated Views for Pixel-based Visualizations. In: Proceedings of IV 2009, pp. 44–49. IEEE Computer Society Press, Los Alamitos (2009)
Mayr, E., Smuc, M., Risku, H.: Many Roads Lead to Rome. Mapping Users’ Problem Solving Strategies. In: Proceedings of BELIV 2010. ACM Press, New York (2010)
Newell, A., Shaw, J.C., Simon, H.A.: Elements of a theory of human problem solving. Psychol. Rev. 65, 151–166 (1958)
Robertson, G.: Beyond time and errors – position statement. In: BELIV 2008 (2008), http://www.dis.uniroma1.it/~beliv08/pospap/robertson.pdf
Sarayaia, P.B., North, C., Duca, K.: An insight-based methodology for evaluating bioinformatics visualizations. IEEE Trans. Vis. Comput. Graph 11, 443–456 (2005)
Schraw, G., Dunkle, M.E., Bendixen, L.D.: Cognitive processes in well-defined and ill-defined problem solving. Appl. Cognitive Psych. 9, 523–538 (1995)
Schunn, C.D., McGregor, M.U., Saner, L.D.: Expertise in ill-defined problem solving domains as effective strategy use. Mem. Cognition 33, 1377–1387 (2005)
Shimabukuro, M., Flores, E.F., de Oliveira, M.C.F., Levkowitz, H.: Coordinated views to assist exploration of spatio-temporal data: A case study. In: Proceedings of the 2nd International Conference on Coordinated and Multiple Views in Exploratory Visualization (CMV 2004), pp. 107–117. IEEE CS Press, Los Alamitos (2004)
Smuc, M., Mayr, E., Lammarsch, T., Aigner, W., Miksch, S., Gärtner, J.: To score or not to score? Tripling insights for participatory design. IEEE Comput. Graph. 29(3), 29–38 (2009)
Smuc, M., Mayr, E., Lammarsch, T., Bertone, A., Aigner, W., Risku, H., Miksch, S.: Visualizations at first sight. Do insights require training? In: Holzinger, A. (ed.) HCI and Usability for Education and Work, pp. 261–280. Springer, Berlin (2008)
Thomas, J.J., Cook, K.A.: Illuminating the Path: The Research and Development Agenda for Visual Analytics. IEEE Computer Society Press, Los Alamitos (2005)
Valiati, E.R.A., Pimenta, M.S., Freitas, C.M.D.S.: A taxonomy of tasks for guiding the evaluation of multidimensional visualizations. In: Proceedings of BELIV 2006, pp. 1–6. ACM Press, New York (2006), http://doi.acm.org/10.1145/1168149.1168169
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Mayr, E. et al. (2010). Mapping the Users’ Problem Solving Strategies in the Participatory Design of Visual Analytics Methods. In: Leitner, G., Hitz, M., Holzinger, A. (eds) HCI in Work and Learning, Life and Leisure. USAB 2010. Lecture Notes in Computer Science, vol 6389. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-16607-5_1
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