Abstract
Modern information visualisation systems do not only support interactivity but also increasingly complex problem solving. In this study we compare two interactive information visualisation systems: VisuExplore and Gravi++. By analysing logfiles we were able to identify sets of activities and interaction patterns users followed while working with these systems. These patterns are an indication of strategies users adopt to find solutions. Identifying such patterns may help in improving the design of future information visualisation systems.
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Cowley P, Nowell L, Scholtz J (2005) Glass Box: an instrumented infrastructure for supporting human interaction with information. In: Proceedings of the 38th annual Hawaii international conference on system sciences (HICSS)
Dix A, Pohl M, Ellis G (2010) Perception and cognitive aspects. In: Keim D, Kohlhammer J, Ellis G, Mansmann F (eds) Mastering the information age—solving problems with visual analytics, Eurographics Association, Goslar, pp 109–130
Dou W, Jeong DH, Stukes F, Ribarsky W, Lipford HR, Chang R (2009) Recovering reasoning processes from user interactions. IEEE Comput Graph Appl 29(3):52–61
Fabrikant SI, Rebich-Hespanha S, Andrienko N, Andrienko G, Montello DR (2008) Novel method to measure inference affordance in static small-multiple map displays representing dynamic processes. Cartogr J 45(3):201–215
Gotz D, Zhou MX (2009) Characterizing users’ visual analytic activity for insight provenance. Inf Vis 8(1):42–55
Hinum K, Miksch S, Aigner W, Ohmann S, Popow C, Pohl M, Rester M (2005) Gravi++: interactive information visualization to explore highly structured temporal data. J Univers Comput Sci 11:1792–1805
Hollan J, Hutchins E, Kirsh D (2000) Distributed cognition: toward a new foundation for human-computer interaction research. ACM Trans Comput-Hum Interact 7(2):174–196
Ivory MY, Hearst MA (2001) The state of the art in automating usability evaluation of user interfaces. ACM Comput Surv 33(4):470–516
Kang Y, Görg C, Stasko J (2011) How can visual analytics assist investigative analysis? Design implications from an evaluation. IEEE Trans Vis Comput Graph 17(5):570–583
Kerren A, Ebert A, Meyer J (2007) Human-centered visualization environments. Springer, Berlin
Kuniavsky M (2003) Observing the user experience. Morgan Kaufmann, San Francisco
Liu Z, Nersessian N, Stasko J (2008) Distributed cognition as a theoretical framework for information visualization. IEEE Trans Vis Comput Graph 14(6):1173–1180
Liu Z, Stasko J (2010) Mental models, visual reasoning and interaction in information visualization. IEEE Trans Vis Comput Graph 16(6):999–1008
Mirel B (2004) Interaction design for complex problem solving: developing useful and usable software. Morgan Kaufmann, Amsterdam
Patel VL, Arocha JF, Zhang J (2007) Thinking and reasoning in medicine. In: Holyoak KJ, Morrison RG (eds) The Cambridge handbook of thinking and reasoning, 2nd reprint. Cambridge University Press, Cambridge, pp 727–750
Pillat RM, Valiati ERA, Freitas CMDS (2005) Experimental study on evaluation of multidimensional visualization techniques. In: Proceedings of the CLIHC’05 conference, pp 20–30
Pike WA, Stasko J, Chang R, O’Connell TA (2009) The science of interaction. Inf Vis 8(4):263–274
Pohl M, Wiltner S, Miksch S, Rester M, Hinum K, Popow C, Ohmann S (2010) Exploring information visualization—describing different interaction patterns, beyond time and errors: novel evaluation methods for Information Visualization. In: BELIV’10, a workshop at ACM conference on human factors in computing systems (CHI), p 2010
Pohl M, Wiltner S, Rind A, Aigner W, Miksch S, Turic T, Drexler F (2011) Patient Development at a Glance: An Evaluation of a Medical Data Visualization. In: Campos P, Graham N, Jorge J, Nunes N, Palanque P, Winckler M (eds) INTERACT 2011, Part IV. LNCS, vol 6949, pp 292–299
Preece J, Rogers Y, Sharp H, Benyon D, Holland S, Carey T (1994) Human-computer interaction. Addison-Wesley, Wokingham
Preece J, Rogers Y, Sharp H (2002) Interaction design. Wiley, New York
Ratwani RM, Trafton JG, Boehm-Davis DA (2008) Thinking graphically: connecting vision and cognition during graph comprehension. J Exp Psychol Appl 14(1):36–49
Rind A, Aigner W, Miksch S, Wiltner S, Pohl M, Turic T, Drexler F (2011) Visual exploration of time-oriented patient data for chronic diseases: design study and evaluation. In: Holzinger A, Simonic K-M (eds) USAB 2011: information quality in e-health. LNCS, vol 7058. Springer, Heidelberg, pp 301–320
Shah P, Freedman EG, Vekiri I (2005) The comprehension of quantitative information in graphical displays. In: Shah P, Miyake A (eds) The Cambridge handbook of visuospatial thinking. Cambridge University Press, Cambridge, pp 426–476
Shrinivasan YB, van Wijk JJ (2009) Supporting exploration awareness in information visualization. IEEE Comput Graph Appl 29(5):34–43
Tversky B (2007) Visuospatial reasoning. In: Holyoak KJ, Morrison RG (eds) The Cambridge handbook of thinking and reasoning, 2nd reprint. Cambridge University Press, Cambridge, pp 209–240
Wehrend SC, Lewis C (1990) A problem-oriented classification of visualization techniques. In: Kaufman AE et al. (eds) Proceedings of the first IEEE conference on visualization, San Francisco, CA, 23–26 October. IEEE Comput Soc, Los Alamitos, pp 139–143
Winograd T (2002) Interaction spaces for twenty-first-century computing. In: Carroll J (ed) Human-computer interaction in the new millennium. Addison-Wesley, Boston, pp 259–276
Yi JS, Kang Y, Stasko JT, Jacko J (2007) Toward a deeper understanding of the role of interaction in information visualization. IEEE Trans Vis Comput Graph 13(6):1224–1231
Zhou MX, Feiner SK (1998) Visual task characterization for automated visual discourse synthesis. In: Proceedings of the CHI’98 conference, pp 393–399
Acknowledgements
This work is conducted in the context of the CVAST—Centre of Visual Analytics Science and Technology project. It is funded by the Austrian Federal Ministry of Economy, Family and Youth in the exceptional Laura Bassi Centres of Excellence initiative. Furthermore, this work was supported by the Bridge program of the Austrian Research Promotion Agency (project no. 814316) and conducted in cooperation with Danube University Krems, Vienna University of Technology, NÖ Landeskliniken-Holding, Landesklinikum Krems, NÖGUS, systema Human Information Systems.
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Pohl, M., Wiltner, S., Miksch, S. et al. Analysing Interactivity in Information Visualisation. Künstl Intell 26, 151–159 (2012). https://doi.org/10.1007/s13218-012-0167-6
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DOI: https://doi.org/10.1007/s13218-012-0167-6