CE  Vol.3 No.8 B , December 2012
Information Visualization (IV) Application for Information Acquisition based on Visual Perception
ABSTRACT
Information Visualization (IV) is a current field that has the potential to develop methods of accessing, processing and managing of information (Chen & Czerwinski, 2000). IV applications are developed as a learning tool due to the technique of IV being capable of improving the understanding process through the use of visuals. In addition, IV applications are also able to manage the several data sources and complex concepts in learning activities. IV techniques are useful for information acquisition and learning activities. Based on the theory of visual perception, this study produces a design of IV application. The design supports a particular understanding of the visual accordance with data of the hadith environment. Balance to the visual design can build a good human perceptual system to understand the concepts and interpret information more easily and accurately. The findings of the study show the good interpretation and the high score of respondents’ achievement toward using the application. This result indicates that the contribution of visual perception theory as the design of the IV application can create a better visual perception and enhance the quality and quantity of the information.

Cite this paper
Fabil, N. , Ismail, Z. , Shukur, Z. , Noah, S. & Salim, J. (2012). Information Visualization (IV) Application for Information Acquisition based on Visual Perception. Creative Education, 3, 86-89. doi: 10.4236/ce.2012.38B019.
References
[1]   Atikullah Hj. Abdullah. (2005). Rehlah Ilmiyyah dan Kepentingannya: Refleksi Dari Tradisi Para ‘Ulama’ Hadith Islam. Pulau Piang: Penerbit USM.

[2]   Borner, K., Chen, C. & Boyack, K. (2003). Visualizing knowledge domains. In B. Cronin (Ed.), Annual Review of Information Science & Technology, 37, pp.179-255.

[3]   Card, S. K., Mackinlay, J. D., & Shneiderman, B. (1999). Readings in information visua-lization: Using vision to think. San Francisco, CA: Kaufmann.

[4]   Chen, C. & Paul, R. J. (2001). Visua-lizing a knowledge domain's intellectual structure. Computer, 34(3), 65-71.

[5]   Chen, C. (2003). Visua-lizing scientific paradigms: An introduction. Journal of the American Society for Information Science and Technology, 54(5), 392-339.

[6]   Chen, C. (2004). In-formation visualization: Beyond the horizon (2nd ed.). London: Springer.

[7]   Duncan, J., & Humphreys, G. W. (1989). Visual search and stimulus similarity. Psy-chological Review (96)3, 433–458.

[8]   Healey, C. G. (1995). Choosing effective colours for data visualization. Proceedings Visualization '95, pp. 263–270.

[9]   Hea-ley, C. G. (2001). Formalizing artistic techniques and scientific visualization for painted renditions of complex information spaces. Proceedings International Joint Conference on Artificial Intelligence (IJCAI 2001) (pp. 371–376).

[10]   Healey, C. G. (2007). Perception in Vi-sualization. Retrieved from http:// eeeeleran-space.org/articles/InstructinalDesign.htm [9 Julai 2011] http://en.scientificcommons.org/xavier_polanco [27Oktober2008]http://www.csc.ncsu.edu/faculty/healey/PP/index.html. http://www.personal.psu.edu/faculty/s/jsjm256/portfolio/kbase/IDD/ISDModels.html. [3 Mac 2011]

[11]   Hui, B. (2002). Developing and evaluating a document visuali-zation system for information management. Ph.D Thesis, University of Toronto.

[12]   Ishak Haji Suliaman. (2007). Isnad Hadis sebagai etika maklumat Islam. Dlm. Ishak Haji Suliaman, Fauzi Deraman, Mohd. Muhiden Abd Rahman & Abdul Karim Ali, Autoriti Hadis menangani gerakan antihadis (hlm. 47-59). Kuala Lumpur: Penerbit Universiti Malaya. Su-liaman???

[13]   Jul′esz, B. (1984). A brief outline of the texton theory of human vision. Trends in Neuroscience, 7(2), 41–45.

[14]   LaConte, R. T. (1984). Communication skills for the future. Journal of Technology Teacher, 44(3), 4-5.

[15]   Lamping, L., & Rao, R. (1994). Laying out and visualizing large trees using a hyperbolic space. Proceedings of the ACM Symposium on User Interface and Technology (UIST’94), (pp. 13–14).

[16]   MacKinlay, J. D. 1986. Automating the design of graphical presentation of rela-tional information. ACM Transaction on Graphics 5(2): 110-141.

[17]   McCormick, B. H., DeFanti, T. A., & Brown, M. D. (1987). Visualization in scientific compu-ting: Report of The NSF Advisory Panel on Graphics, Image Processing and Workstations.

[18]   McGriff, S. 2001. Instructional systems design models. http://www.personal.psu.edu /faculty/s/jsjm256/portfolio/kbase/IDD/ISDModels.html. [3 Mac 2012]

[19]   McGriff, S.J. (2000). Instructional Systems. College of Education, Penn State Universi-ty.

[20]   Mergel, B. (1998). Instructional design & learning theory. In Educational communications and technology. University of Saskatchewan.

[21]   Nawer Yuslem. (2003). Ulumul hadis. Jakarta: Penerbit Mutiara Sumber Widya.

[22]   Norasikin Fabil. (2009). Aplikasi Teknik Graph View dalam Pemvisualan Maklumat Sa-nad Domain Ilmu Hadis. Ph.D Thesis. Universiti Ke-bangsaan Malaysia, Bangi.

[23]   Polanco, X. & Zarti, A. (2008). Information visualization, State of the art part C: WP9, EICSTES Project-IST-1999, 2008.

[24]   Rheingans, P. & Ebert, D. S. (2001). Volume illustration: Nonphotorealistic rendering of volume mod-els. IEEE Transactions on Visualization and Computer Graphics 7, 3 (2001), 253–264.

[25]   Siemens, G. 2002. Instructional design in E-learning. http:// eeeele-ranspace.org/articles/InstructinalDesign.htm [9 Julai 2010]

[26]   Small, H. (2000). Charting pathways through science: Exploring Garfield’s vision of a unified index to science. In B. Cronin & H. Atkins, H. (Eds.), The web of knowledge: A Festschrift in honor of Eugene Garfield (pp. 449-473). Medford, NJ: Information To-day.

[27]   Spence, R. (2001). Information visualization (2nd ed.). Harlow, UK: Addison-Wesley.

[28]   Subhi Salih. (1993). Ilmu hadis: Satu pengenalan dan kajian (Terj. Ariffin Omar & Mohd. Nor Ngah). Kuala Lumpur: Dewan Bahasa & Pustaka.

[29]   Sweller, J. (2001). Vi-sualization and instructional design (pp. 1501 – 1510). Australia. University Of New South Wales.

[30]   Treisman, A. (1985). Preattentive processing in vision. Computer Vision, Graphics, and Image Processing, 31, 156–177.

[31]   Triesman, A., & Gormican, S. (1988). Feature analysis in early vision: Evidence from search asymmetries. Psychological Re-view, 95(1), 15–48.

[32]   White, H. D., & McCain, K. W. (1997). Visualization of literatures. In M. E. Williams (Ed.), Annual Review of Information Science and Technology, 32, pp. 99-168. Medford, NJ: Information Today.

[33]   Wolfe, J. M. (1994). Guided Search 2.0: A revised model of visual search. Psychonomic Bulletin & Review, 1(2), 202–238.

 
 
Top