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Information visualization and the arts-science-social science interface

Published:27 December 2010Publication History

ABSTRACT

In a world of ever-increasing and newly discovered complexities, and rapidly expanding data sets describing man-made and natural phenomena, information visualization offers a means of structuring and enabling interpretation of these data in the context of that complexity. Advances in graphics hardware, art asset pipelines and parallelized computational platforms offer unprecedented potential. However, harnessing this potential to good effect is challenging and requires the integration of skills from the arts and social sciences to support scientific endeavor in the physical and life sciences. Here, we consider those skills and describe four case studies that highlight interoperation among disciplines at this arts-science-social science interface.

References

  1. Barsalou, L. W. 2008 Grounded Cognition. The Annual Review of Psychology 59:617--45. doi: 10.1146/annurev.psych.59.103006.093639Google ScholarGoogle ScholarCross RefCross Ref
  2. Baveye, P. 2007. Soils and runaway climate change. Journal of Soil and Water Conservation. 62(6):139A--143A.Google ScholarGoogle Scholar
  3. Brown, E., and Cairns, P. 2004. A grounded investigation of game immersion. CHI 2004. ACM Press, 1279--1300. Google ScholarGoogle ScholarDigital LibraryDigital Library
  4. CoSMoS Project, <www.cosmos-research.org>.Google ScholarGoogle Scholar
  5. Cronin, P. and Reicher S. A study of the factors that influence how senior officers police crowd events: on SIDE outside the laboratory. Br J Soc Psychol. 2006(1), 175--196.Google ScholarGoogle Scholar
  6. de Groot, R. 2006. Function-analysis and valuation as a tool to assess land use conflicts in planning for sustainable, multi-functional landscapes. Landscape and Urban Planning, 75, 175--186.Google ScholarGoogle ScholarCross RefCross Ref
  7. El-Nasr, M. S., and Yan, S. 2006. Visual attention in 3D video games. In: ACE '06, Hollywood, California, USA. Google ScholarGoogle ScholarDigital LibraryDigital Library
  8. Erler, J. and Linding, R. 2010. Network-based drugs and biomarkers J. of Pathology, 220(2). 290--296Google ScholarGoogle Scholar
  9. Falconer, R., Bown, J., White, N. and Crawford, J. 2005. Biomass Recycling and the origin of phenotype in fungal mycelia. Proc. Roy. Soc B. Lond. 272: 1727--1734.Google ScholarGoogle ScholarCross RefCross Ref
  10. Faratian, D., Clyde, R. G., Crawford, J. W., and Harrison, D. J. 2009. Systems pathology--taking molecular pathology into a new dimension, Nat. Rev. Clin. Oncol., 6(8), 455--464.Google ScholarGoogle ScholarCross RefCross Ref
  11. Goble, C., and De Roure, D. 2009. The impact of workflow tools on data-centric research, in Hey, T., Tansley, S., and Tolle, K. (Eds.): Data Intensive Computing: The Fourth Paradigm of Scientific Discovery, 137--145.Google ScholarGoogle Scholar
  12. Goltsov, A., Faratian, D., Langdon, S., Bown, J., Goryanin, I. and Harrison, D. 2011. Compensatory effects in the MAPK/PI3K signalling network following receptor tyrosine kinase inhibition, Cellular Signalling, 23, 407--416.Google ScholarGoogle ScholarCross RefCross Ref
  13. Ho, C., MacDorman, K. and Dwi Pramono Z. 2008. Human Emotion and the Uncanny Valley: A GLM, MDS and Isomap Analysis of Robot Video Ratings. HRI '08. Netherlands. Google ScholarGoogle ScholarDigital LibraryDigital Library
  14. Hoverd, T. and Sampson, A. T. 2010. A transactional architecture for simulation, in ICECCS 2010: Fifteenth IEEE International Conference on Engineering of Complex Computer Systems, IEEE Press, 286--290. Google ScholarGoogle ScholarDigital LibraryDigital Library
  15. Isaacs, J., Falconer, R., Blackwood, D. and Gilmour, D., 2010. Enhancing urban sustainability using 3D visualisation. Urban Design and Planning. (In Press).Google ScholarGoogle Scholar
  16. Isaacs, J., Gilmour, D., Blackwood D. and Falconer, R. 2010. Immersive and non-immersive 3D virtual city: decision support tool for urban sustainability. J. OF ITCON SPECIAL ISSUE -- Use of Gaming and Virtual World technology in Architecture, Engineering and Construction (Accepted)Google ScholarGoogle Scholar
  17. Jennett, C., Cox, A. L., Cairns, P., Dhoparee, S., Epps, A., Tijs, T., and Walton, A. 2008. Measuring and defining the experience of immersion in games. Intl. J of Human-Comp. Studies, 66, 641--661. DOI=10.1016/j.ijhcs.2008.04.004. Google ScholarGoogle ScholarDigital LibraryDigital Library
  18. Keim, D. 2002. Information Visualization and Visual Data Mining, IEEE Trans. on Vis. and Computer Graphics, 7(1). Google ScholarGoogle ScholarDigital LibraryDigital Library
  19. Kilgard M. J. and Akeley K. 2008. Modern opengl: its design and evolution. In SIGGRAPH Asia '08: ACM SIGGRAPH ASIA 2008 courses, pages 1--31, New York, NY, USA Google ScholarGoogle ScholarDigital LibraryDigital Library
  20. Khooshabeh, P., Hegarty, M., Keehner, M., and Cohen, C. 2008. Benefits of Constrained Interactivity in Using a Three-Dimensional Diagram. Lecture Notes in Artificial Intelligence, 5223 (385--387). Springer. Google ScholarGoogle ScholarDigital LibraryDigital Library
  21. Kravchenko, A, Falconer, R., Grinev, D. and W. Otten. 2010. Fungal colonization in soils of contrasting managements: modelling fungal growth in 3D pore volumes of undisturbed soil samples. Ecological Applications, (accepted).Google ScholarGoogle Scholar
  22. Lathrop R. 2001. Intelligent Systems in Biology: Why the Excitement? IEEE Intelligent Systems, 16, 8--13. Google ScholarGoogle ScholarDigital LibraryDigital Library
  23. Lederman, S. J. and Klatzky, R. L. 2009. Haptic perception: A tutorial. Attention, Perception, & Psychophysics, 71(7), 1439--1459.Google ScholarGoogle Scholar
  24. Mitchell G (2005) Mapping hazard from urban non-point pollution: A screening model to support sustainable urban drainage planning. J of Env. Management, 74(1) 1--9.Google ScholarGoogle ScholarCross RefCross Ref
  25. Mitchell, L. and Flin, R. Decisions to shoot by police firearms officers, Article, 2007, Journal of Cognitive Engineering and Decision Making, 1(4) 375--390.Google ScholarGoogle ScholarCross RefCross Ref
  26. Nacke, L. E., Stellmach, S., and Lindley, C. A. 2010. Electroencephalographic assessment of player Experience: A Pilot Study in affective ludology. Simulation & Gaming, 20, 10, 1--24. DOI= 10.1177/1046878110378140.Google ScholarGoogle Scholar
  27. Regan, D., 2000. Human Perception of Objects. Sinauer Associates. MA.Google ScholarGoogle Scholar
  28. Rensink, R. A., O'Regan, J. K. and Clark, J. J. 1997. To see or not to see: the need for attention to perceive changes in scenes. Psychological Science, 8, 368--73.Google ScholarGoogle ScholarCross RefCross Ref
  29. Ritson, C. G., Sampson, A. T. and Barnes, F. R. M. 2009. Multicore Scheduling for Lightweight Communicating Processes. In J. Field and V. T. Vasconcelos, eds, Coordination Models and Languages, 11th International Conference, COORDINATION 2009, Lisboa, Portugal, June 9--12, Vol. 5521 of Lecture Notes in Computer Science, Springer, 163--183. Google ScholarGoogle ScholarDigital LibraryDigital Library
  30. Ritterfeld, U., Shen, C., Wang, H., Nocera, L. and Wong, W. 2009. Multimodality and Interactivity: Connecting Properties of Serious Games with Educational Outcomes. Cyberpsychology and behavior, 12(6).Google ScholarGoogle Scholar
  31. Robertson, P. Cronin, P. and Bown, J. 2009. Firearms Training Using Games Technology. Scottish Institute for Policing Research Third Annual Conference.Google ScholarGoogle Scholar
  32. Roman, P. and Brown, D., 2008. Games -- Just how serious are they? Interservice/Industry Training, Simulation, and Education Conference (I/ITSEC)Google ScholarGoogle Scholar
  33. Sampson, A. T., Bjørndalen, J. M. and Andrews, P. S. 2009, Birds on the wall: Distributing a process-oriented simulation, in 2009 IEEE Congress on Evolutionary Computation, IEEE Press, 225--231. Google ScholarGoogle ScholarDigital LibraryDigital Library
  34. Scott-Brown, K. C., Baker, M. and Orbach, H. S. 2000. Comparison blindness, Visual Cognition, 7 (1--3), 253--67.Google ScholarGoogle Scholar
  35. Scott-Brown, K. C. and Cronin, P. D. (2007) An instinct for detection: Psychological perspectives on CCTV surveillance. The Police Journal. 4, pp. 287--305.Google ScholarGoogle ScholarCross RefCross Ref
  36. Shneiderman, B. 2000. Universal usability. Communications of The ACM, 43, 5, 84--91. DOI=10.1145/332833.332843. Google ScholarGoogle ScholarDigital LibraryDigital Library
  37. Shovman, M., Idowu, M., Goltsov A. and Bown, J. 2010 Dynamic visualisation of biological network models, Intl. Conf. on Systems Biology, Edinburgh.Google ScholarGoogle Scholar
  38. Shovman, M. M., Scott-Brown, K. C. Szymkowiak, A and Bown, J. L. (2008) Use of 'pop-out' paradigm to test graph comprehension in a three-dimensional scatter plot. Perception 37, 79--80.Google ScholarGoogle Scholar
  39. Shovman, M. M. Szymkowiak, A., Bown, J. L. and Scott-Brown, K. C. 2009 Changing the view: towards the theory of visualisation comprehension. In Information Visualisation. Ed. E. Banissi (Barcelona) 135--138. Google ScholarGoogle ScholarDigital LibraryDigital Library
  40. Shovman, M., Szymkowiak, A., Bown, J., and Scott-Brown, K. 2010. Is visual search a high-level phenomenon? Evidence from structure perception in 3-D scatterplots. Perception, 39 (March). doi: 10.1068/ava10am.Google ScholarGoogle Scholar
  41. Simons, D. J. and Chabris, C. F. 1999. Gorillas in our midst: sustained inattentional blindness for dynamic events. Perception, 28 (9), 1059--74.Google ScholarGoogle ScholarCross RefCross Ref
  42. Stevens, D., Dragicevic S. and Rothley, K. 2007. iCity: A GISeCA modelling tool for urban planning and decision making. Environmental Modelling & Software (22). Google ScholarGoogle ScholarDigital LibraryDigital Library
  43. Sukop, M and Thorne, D Jr. 2006 Lattice Boltzmann Modeling An Introduction for Geoscientists and Engineers, 1st Edition, Springer Verlag Berlin Heidelberg. Google ScholarGoogle ScholarDigital LibraryDigital Library
  44. Susi, T., Johannesson, M. and Backlund, P. 2007. Serious Games -- An Overview University of Skövde, Sweden, Technical Report HS-IKI-TR-07-001, 2007.Google ScholarGoogle Scholar
  45. Svendsen, N. K. and Wolthusen, S. D. 2007 Connectivity models of interdependency in mixed-type critical infrastructure networks. Information Security Technical Report 12, 44--55. Google ScholarGoogle ScholarDigital LibraryDigital Library
  46. Tabachnik, B., and Fidell, L. S. 2006. Using Multivariate Statistics: Allyn & Bacon. Google ScholarGoogle ScholarDigital LibraryDigital Library
  47. Thalemann, R., Wölfling, K., and Grüsser, S. M. 2007. Specific cue reactivity on computer game-related cues in excessive gamers. Behav. Neuroscience, 121(3), 614--618.Google ScholarGoogle ScholarCross RefCross Ref
  48. Thomas, J. J. and Cook, K. A. 2005. Illuminating the Path: The Research and Development Agenda for Visual Analytics: National Visualization and Analytics Center.Google ScholarGoogle Scholar
  49. Tukey, J. W., 1962. Tukey: The Future of Data Analysis. The Annals of Mathematical Statistics, 33(1), 1--67.Google ScholarGoogle ScholarCross RefCross Ref
  50. United Nations, 2004. World Urbanization Prospects, United Nations Economic and Social Affairs, New York.Google ScholarGoogle Scholar
  51. Valentine, T. and Mesout, J. 2009. Eyewitness identification under stress in the London Dungeon. Applied Cognitive Psychology, 23, 151--161.Google ScholarGoogle ScholarCross RefCross Ref
  52. Vos, W., Meekes, H. 1999. Trends in European cultural landscape development: perspectives for a sustainable future. Landscape and Urban Planning, 46, 3--14.Google ScholarGoogle ScholarCross RefCross Ref
  53. Yli-Pelkonen, V. and Kohl, J. 2005. The role of local ecological knowledge in sustainable urban planning: perspectives from Finland. Sustainability: Science, Practice, & Policy 1(1), 3--14.Google ScholarGoogle Scholar
  54. Yusoff, A., Crowder, R., Gilbert, L. and Wills, A. 2009, A conceptual framework for serious games. Ninth IEEE Intl. Conference on Advanced Learning Technologies. Google ScholarGoogle ScholarDigital LibraryDigital Library
  55. Zyda, M. 2005. From visual simulation to virtual reality to games. Computer, 38(9), 25--32. Google ScholarGoogle ScholarDigital LibraryDigital Library

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              cover image ACM Other conferences
              IITM '10: Proceedings of the First International Conference on Intelligent Interactive Technologies and Multimedia
              December 2010
              355 pages
              ISBN:9781450304085
              DOI:10.1145/1963564

              Copyright © 2010 ACM

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              • Published: 27 December 2010

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