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research-article

Visualization experience and related process modeling

Published: 01 August 2013 Publication History

Abstract

The visualization process is a transformation of information content into knowledge via a visual representation. Visualization experience, proposed herein, reflects human sensations arising during the visualization process. It provides a basis in which to objectively measure and evaluate human participation in the visualization process; and thereby provides methods of control. Visualization experience modeling allows leveraging on the natural environment to augment understanding, therefore improve decision making. The application emphasis in this paper is on the theoretical development of visualization experience in the visualization process as applied to Ambient Assisted Living and Clinical Decision Support Systems. HighlightsThe visualization process is modeled to have system and user sides.Interactions between these sides result in the user visualization experience.The visualization experience reflects the quality of the visualizations.The visualization experience suggests improvements in the visualization process.An ambient assisted living interface application example is provided.

References

[1]
J. Kim, I. Cho, Y. Kim, CDSS (Clinical Decision Support System) Architecture in Korea, in: International Conference on Convergence and Hybrid Information Technology (ICHIT), 2008, pp. 700-703.
[2]
J.A. Kim, Shim, S. Kim, J. Lee, I. Cho, Y. Kim, Implementation of guideline-based CDSS, in: International Conference on Ubiquitous Computing and Multimedia Applications, 2011, pp. 96-99.
[3]
F. Wu, M. Williams, P. Kazanzides, K. Brady, J. Fackler, A modular clinical decision support system clinical prototype extensible into multiple clinical settings, in: Third International Conference on Pervasive Computing Technologies for Healthcare (PervasiveHealth), 2009, pp. 1-4.
[4]
L. Aleksovska-Stojkovska, S. Loskovska, Clinical decision support systems: medical knowledge acquisition and representation methods, in: IEEE International Conference on Electro/Information Technology (EIT), 2010, pp. 1-6.
[5]
L. Aleksovska-Stojkovska, S. Loskovska, Architectural and data model of clinical decision support system for managing asthma in school-aged children, in: IEEE International Conference on Electro/Information Technology (EIT), 2011, pp. 1-6.
[6]
H. Shah, G. Krishnan, P. Williams, A. Vogler, R. Allard, P. Nadkarni, Interoperability and integration considerations for a process-oriented clinical decision support system, in: IEEE World Congress on Services (SERVICES), 2011, pp. 437-442.
[7]
F. Mahmud, M. Yusof, A. Shahrul, Ontological based clinical decision support system (CDSS) for weaning ventilator in intensive care unit (ICU), in: International Conference on Electrical Engineering and Informatics (ICEEI), 2011, pp. 1-5.
[8]
S. Karim, I. Bajwa, Clinical decision support system based virtual telemedicine, in: 2011 International Conference on Intelligent Human-Machine Systems and Cybernetics (IHMSC), vol. 1, 2011, pp. 16-21.
[9]
Yusof, M.M., Kuljis, J., Papazafeiropoulou, A. and Stergioulas, L.K., An evaluation framework for Health Information Systems: human, organization and technology-fit factors (HOT-fit). . International Journal of Medical Informatics. v77. 386-398.
[10]
Amirfar, S., Taverna, J., Anane, S. and Singer, J., Developing public health clinical decision support systems (CDSS) for the outpatient community in New York City: our experience. . BMC Public Health. v11. 753
[11]
Graber, M. and Mathew, A., Performance of a web-based clinical diagnosis support system for internists. Journal of General Internal Medicine. v23. 37-40.
[12]
S. Eslami, N.F. De Keizer, E. De Jonge, D. Dongelmans, M. J. Schultz, A. Abu-Hanna, Lessons learned from implementing and evaluating computerized decision support systems, in: 13th Conference on Artificial Intelligence in Medicine (AIME), 2011, pp. 101-108.
[13]
W. Yao, A. Kumar, Integrating clinical pathways into CDSS using context and rules: a case study in heart disease, in: Second ACM SIGHIT International Health Informatics Symposium (IHI), 2012, pp. 611-620.
[14]
I. Fatima, M. Fahim, D. Guan, Y.-K. Lee, S. Lee, Socially interactive CDSS for u-life care, in: Fifth International Conference on Ubiquitous Information Management and Communication (ICUIMC), 2011, pp. 95-95.
[15]
X. H. Le, S. Lee, P. Truc, L. T. Vinh, A. Khattak, M. Han, D. V. Hung, M. Hassan, M. Kim, K.-H. Koo, Y.-K. Lee, E.-N. Huh, Secured WSN-integrated cloud computing for u-life care, in: 7th IEEE Consumer Communications and Networking Conference (CCNC), 2010, pp. 1-2.
[16]
Wood, A., Stankovic, J., Virone, G., Selavo, L., He, Z., Cao, Q., Doan, T., Wu, Y., Fang, L. and Stoleru, R., Context-aware wireless sensor networks for assisted living and residential monitoring. IEEE Network. v22. 26-33.
[17]
Upson, C., Faulhaber Jr., T., Kamins, D., Laidlaw, D.H., Schlegel, D., Vroom, J., Gurwitz, R. and van Dam, A., The application visualization system: a computational environment for scientific visualization. . IEEE Computer Graphics and Applications. v9. 30-42.
[18]
R.B. Haber, D.A. McNabb, Visualization idioms: a conceptual model for scientific visualization systems, in: Visualization in Scientific Computing, 1990, pp. 74-93.
[19]
Ware, C., Information Visualization: Perception for Design. . 2000. Morgan Kaufmann Publishers Inc., San Francisco, CA, USA.
[20]
J. van Wijk, The value of visualization, in: IEEE Visualization (VIS), 2005, pp. 79-86.
[21]
Chen, M. and Jaenicke, H., An information-theoretic framework for visualization. IEEE Transactions on Visualization and Computer Graphics. v16. 1206-1215.
[22]
d'Auriol, B., Serviceable visualizations. Journal of Supercomputing. 1-27.
[23]
Pineo, D. and Ware, C., Data visualization optimization via computational modeling of perception. IEEE Transactions on Visualization and Computer Graphics. v18. 309-320.
[24]
J. Yang-Pelaez, W. Flowers, Information content measures of visual displays, in: IEEE Symposium on Information Visualization (InfoVis), 2000, pp. 99-103.
[25]
Liu, Z., Nersessian, N. and Stasko, J., Distributed cognition as a theoretical framework for information visualization. IEEE Transactions on Visualization and Computer Graphics. v14. 1173-1180.
[26]
Q. Nguyen, P. Eades, S.-H. Hong, On the Faithfulness of Graph Visualizations, Technical Report, School of Information Technologies, University of Sydney, 2012.
[27]
Mulvenna, M., Carswell, W., Mccullagh, P., Augusto, J., Zheng, H., Jeffers, P., Wang, H. and Martin, S., Visualization of data for ambient assisted living services. IEEE Communications Magazine. v49. 110-117.
[28]
Brodlie, K., Wood, J. and Wright, H., Scientific visualization-some novel approaches to learning. SIGCSE Bulletin. v28. 28-32.
[29]
B. Shneiderman, The eyes have it: a task by data type taxonomy for information visualizations, in: IEEE Symposium on Visual Languages, 1996, pp. 336-343.
[30]
Gerl, M., Rautek, P., Isenberg, T. and Groller, E., Semantics by analogy for illustrative volume visualization. Computers and Graphics. v36. 201-213.
[31]
Lutteroth, C., Strandh, R. and Weber, G., Domain specific high-level constraints for user interface layout. Constraints. v13. 307-342.
[32]
E. Kalogerakis, S. Christodoulakis, N. Moumoutzis, Coupling ontologies with graphics content for knowledge driven visualization, in: IEEE Conference on Virtual Reality (VR), 2006, pp. 43-50.
[33]
L.-w. He, M. F. Cohen, D. H. Salesin, The virtual cinematographer: a paradigm for automatic real-time camera control and directing, in: 23rd Annual Conference on Computer Graphics and Interactive Techniques (SIGGRAPH), 1996, pp. 217-224.
[34]
B. Tomlinson, B. Blumberg, D. Nain, Expressive autonomous cinematography for interactive virtual environments, in: Fourth international conference on Autonomous Agents (AGENTS), 2000, pp. 317-324.
[35]
K. Xu, A. J. Stewart, E. Fiume, Constraint-based automatic placement for scene composition, in: Graphics Interface, 2002, pp. 25-34.
[36]
L. Yang, M. Frize, P. Eng, Incorporating usability design factors into development of clinical decision support systems, in: 25th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, vol. 4, 2003, pp. 3594-3597.
[37]
M. Frize, S. Weyand, E. Bariciak, Suggested criteria for successful deployment of a Clinical Decision Support System (CDSS), in: IEEE International Workshop on Medical Measurements and Applications (MeMeA), 2010, pp. 69-72.
[38]
E. Carrasco, G. Epelde, A. Moreno, A. Ortiz, I. Garcia, C. Buiza, E. Urdaneta, A. Etxaniz, M. F. Gonzalez, A. Arruti, Natural interaction between avatars and persons with alzheimer's disease, in: K.M. et al. (Eds.), International Conference on Computers Helping People with Special Needs, 2008, pp. 38-45.
[39]
S. Li, S. Kay, S. Porter, A visualisation tool for augmenting assessment of ankylosing spondylitis, in: International Conference of the European Federation for Medical Informatics, 2009, pp. 821-825.
[40]
N. Boers, D. Chodos, J. Huang, P. Gburzynski, I. Nikolaidis, E. Stroulia, The smart condo: visualizing independent living environments in a virtual world, in: Third International Conference on Pervasive Computing Technologies for Healthcare, 2009, pp. 1-8.
[41]
C. Stocklow, F. Kamieth, Semantic visualization of wireless sensor networks for elderly monitoring, in: First International Joint Conference on Ambient Intelligence (AmI), 2010, pp. 41-50.
[42]
E. L.-C. Law, V. Roto, M. Hassenzahl, A. P. Vermeeren, J. Kort, Understanding, scoping and defining user experience: a survey approach, in: 27th International Conference on Human Factors in Computing Systems (CHI), 2009, pp. 719-728.
[43]
D. Trevisan, J.V, B. Macq, Model-based approach and augmented reality systems, in: J. Jacko, C. Stephanidis (Eds.), Human-Computer Interaction Theory and Practice, vol. 1, 2003, pp. 1273-1277.
[44]
Autodesk, Maya, 2011. {http://usa.autodesk.com/maya}. (accessed 6.12.2011).
[45]
Advanced Visual Systems, AVS, 2011. {http://www.avs.com}. (accessed 6.12.2011).
[46]
Processing Team, Processing, 2011. {http://processing.org}. (accessed 6.12.2011).
[47]
eTeks, Sweet Home 3D, 2011. {http://www.sweethome3d.com}. (accessed 6.12.2011).
[48]
R. Torres, Rodri Torres, 2011. {http://www.rodritorres.com}. (accessed 6.12.2011).
[49]
The Noun Project, LLC, The Noun Project, 2012. {http://thenounproject.com}. (accessed 8.05.2012).
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    Information & Contributors

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    Published In

    cover image Journal of Visual Languages and Computing
    Journal of Visual Languages and Computing  Volume 24, Issue 4
    August, 2013
    91 pages

    Publisher

    Academic Press, Inc.

    United States

    Publication History

    Published: 01 August 2013

    Author Tags

    1. Ambient assisted living
    2. CDSS
    3. Visualization
    4. Visualization experience

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