Abstract
Graphology and personality psychology are two different analyses approach perform by two different groups of people, but addresses the personality of the person that were analyzed. It is of interest to visualize a system that would aid personality identification given information visualization of these two domains. Therefore, a research in identifying the relationship between those two domains has been carried out by producing the HoloCatT Matrix, a combination of graphology features and a selected personality traits approach. The objectives of this research are to identify new features of the existing HoloCatT Matrix and validate the new version of matrix with two (2) related group of experts. A set of questionnaire has been distributed to a group of Personologist to identify the relationship and an interview has been done with a Graphologist in validating the matrix. Based on the analysis, 87.5% of the relation confirmed by both group of experts and subsequently the third (3rd) version of HoloCatT Matrix is obtained.
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© 2009 Springer-Verlag Berlin Heidelberg
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Rosli, N.A., Mohamed, A., Khan, R. (2009). Visualisation Enhancement of HoloCatT Matrix. In: Badioze Zaman, H., Robinson, P., Petrou, M., Olivier, P., Schröder, H., Shih, T.K. (eds) Visual Informatics: Bridging Research and Practice. IVIC 2009. Lecture Notes in Computer Science, vol 5857. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-05036-7_64
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DOI: https://doi.org/10.1007/978-3-642-05036-7_64
Publisher Name: Springer, Berlin, Heidelberg
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