CFP last date
20 May 2024
Call for Paper
June Edition
IJCA solicits high quality original research papers for the upcoming June edition of the journal. The last date of research paper submission is 20 May 2024

Submit your paper
Know more
The week's pick
Responsive image
Enhancing Privacy Preservation: Multi-Attribute Protection with P-Sensitive K-Anonymity

Twinkle Patel Kiran Amin
Random Articles
Reseach Article

Tag Cloud Algorithm with the Inclusion of Personality Traits

by Ahmad Affandi Supli, Norshuhada Shiratuddin, Azizi Ab Aziz
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 101 - Number 3
Year of Publication: 2014
Authors: Ahmad Affandi Supli, Norshuhada Shiratuddin, Azizi Ab Aziz
10.5120/17666-8489

Ahmad Affandi Supli, Norshuhada Shiratuddin, Azizi Ab Aziz . Tag Cloud Algorithm with the Inclusion of Personality Traits. International Journal of Computer Applications. 101, 3 ( September 2014), 15-22. DOI=10.5120/17666-8489

@article{ 10.5120/17666-8489,
author = { Ahmad Affandi Supli, Norshuhada Shiratuddin, Azizi Ab Aziz },
title = { Tag Cloud Algorithm with the Inclusion of Personality Traits },
journal = { International Journal of Computer Applications },
issue_date = { September 2014 },
volume = { 101 },
number = { 3 },
month = { September },
year = { 2014 },
issn = { 0975-8887 },
pages = { 15-22 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume101/number3/17666-8489/ },
doi = { 10.5120/17666-8489 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:30:43.201409+05:30
%A Ahmad Affandi Supli
%A Norshuhada Shiratuddin
%A Azizi Ab Aziz
%T Tag Cloud Algorithm with the Inclusion of Personality Traits
%J International Journal of Computer Applications
%@ 0975-8887
%V 101
%N 3
%P 15-22
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

It is imperative to consider human different perspective in order to visualize the information data towards users. Many studies proved that personality traits are one of the most significant factors that must be considered to give meaningful value when users see a view. This study tries to give ample evidence toward adjusting visual features on tag cloud visualization techniques. Since there is no study has tried to create an algorithm that can customize tag cloud visual properties based on personality traits. Therefore, the main objective of this study is to make tag cloud algorithm with the inclusion of personality traits by adjusting two prominent visual features (color and shape) as an integration of layout. In addition, the utilization of RBS (rule base system) approach as artificial intelligent method is also taken into account to make knowledge base that stores the relationship between the proper personality elements and particular layout. This paper also discusses findings from satisfaction evaluation of prototyping, which comprises three dimensions facet: overall layout, color, and shape. The findings showed that the majority mean value for each dimension is categorized in agree scale (6-point), which indicates that respondents are satisfied with the tag cloud layout display generated by proposed algorithm. The findings suggest interface designers to be careful in selecting the appropriate tag clouds layout to be displayed for users with varying personality differences.

References
  1. Hassan-Montero, Yusef, & Herrero-Solana, Víctor. (2006). Improving tag-clouds as visual information retrieval interfaces. Paper presented at the International Conference on Multidisciplinary Information Sciences and Technologies
  2. Rivadeneira, AW, Gruen, Daniel M, Muller, Michael J, & Millen, David R. (2007). Getting our head in the clouds: toward evaluation studies of tagclouds. Paper presented at the Proceedings of the SIGCHI conference on Human factors in computing systems.
  3. Hinkle, Veronica. (2009). Using Tag Clouds to Visualize Text Data Patterns.
  4. Few, Stephen. (2013). Data visualization for human perception. The Encyclopedia of Human-Computer Interaction, 2nd Ed.
  5. Nass, Clifford, & Lee, Kwan Min. (2000). Does computer-generated speech manifest personality. An experimental test of similarity-attraction. Paper presented at the Proceedings of the SIGCHI conference on Human factors in computing systems.
  6. Green, Tera Marie, & Fisher, Brian. (2010). Towards the personal equation of interaction: The impact of personality factors on visual analytics interface interaction. Paper presented at the Visual Analytics Science and Technology (VAST), 2010 IEEE Symposium on.
  7. Peffers, Ken, Tuunanen, Tuure, Rothenberger, Marcus A, & Chatterjee, Samir. (2007). A design science research methodology for information systems research. Journal of management information systems, 24(3), 45-77.
  8. Ziemkiewicz, Caroline, Ottley, Alvitta, Crouser, R Jordan, Chauncey, Krysta, Su, Sara L, & Chang, Remco. (2012). Understanding visualization by understanding individual users. Computer Graphics and Applications, IEEE, 32(6), 88-94.
  9. Karsvall, Arvid. (2002). Personality preferences in graphical interface design. Paper presented at the Proceedings of the second Nordic conference on Human-computer interaction.
  10. Saati, Batul, Salem, May, & Brinkman, Willem-Paul. (2005). Towards customized user interface skins: investigating user personality and skin colour. Proceedings of HCI 2005, 2, 89-93.
  11. Brinkman, Willem-Paul, & Fine, Nick. (2005). Towards customized emotional design: an explorative study of user personality and user interface skin preferences. Paper presented at the Proceedings of the 2005 annual conference on European association of cognitive ergonomics.
  12. Halvey, Martin J, & Keane, Mark T. (2007). An assessment of tag presentation techniques. Paper presented at the Proceedings of the 16th international conference on World Wide Web.
  13. Kuo, Byron YL, Hentrich, Thomas, Good, Benjamin M, & Wilkinson, Mark D. (2007). Tag clouds for summarizing web search results. Paper presented at the Proceedings of the 16th international conference on World Wide Web.
  14. Sinclair, James, & Cardew-Hall, Michael. (2008). The folksonomy tag cloud: when is it useful? Journal of Information Science, 34(1), 15-29.
  15. Bateman, Scott, Gutwin, Carl, & Nacenta, Miguel. (2008). Seeing things in the clouds: the effect of visual features on tag cloud selections. Paper presented at the Proceedings of the nineteenth ACM conference on Hypertext and hypermedia.
  16. Burch, Michael, Lohmann, Steffen, Pompe, Daniel, & Weiskopf, Daniel. (2013). Prefix Tag Clouds. Paper presented at the Proc. 17th Int. Conf. Information Visualisation.
  17. Cigic, Dunja, & Bugarski, Vojislava. (2010). Personality Traits and Colour Preferences. Aktuelnosti iz neurologije, psihijatrije i grani?nih podru?ja, 18(4), 28-35.
  18. Dellinger, Susan. (1989). Psycho-geometrics: How to use geometric psychology to influence people: Prentice Hall.
  19. Allport, Gordon W. (1961). Pattern and growth in personality.
  20. Robbins, Stephen P, & Langton, Nancy. (2007). Organizational behaviour: Concepts, controversies, applications: prentice Hall.
  21. Coe, Charles K. (1992). The MBTI: Potential uses and misuses in personnel administration. Public Personnel Management.
  22. Honaker, Stevie L. (2001). True colors™: new implications from convergent validity research with the Myers-Briggs type indicator. Manuscript submitted for publication, University of Alabama, Tuscaloosa, AL. Retrieved from http://74. 125, 155.
  23. Crozier, W. R. (1999). The meanings of colour: Preferences among hues. Pigment & Resin Technology, 28(1), 6-14.
  24. Dellinger, Susan. (1996). Communicating Beyond Our Differences: Introducing the Psycho-Geometrics System: Jade Ink.
  25. Hayes-Roth, Frederick. (1985). Rule-based systems. Communications of the ACM, 28(9), 921-932.
  26. Gardner, Howard. (2003). Multiple intelligences after twenty years. American Educational Research Association, Chicago, Illinois, 21.
  27. Shearer, C Branton, & Luzzo, Darrell Anthony. (2009). Exploring the application of multiple intelligences theory to career counseling. The Career Development Quarterly, 58(1), 3-13.
  28. Gardner, Howard. (1999). The disciplined mind: Simon & Schuster New York.
  29. Buchanan, Bruce G, & Shortliffe, Edward Hance. (1984). Rule-based expert systems (Vol. 3): Addison-Wesley Reading, MA.
Index Terms

Computer Science
Information Sciences

Keywords

Tag cloud visualization satisfaction evaluation forward chaining

Powered by PhDFocusTM