Personality Type Assessment System by using Enneagram-Graphology Techniques on Digital Handwriting

Abstract

This research was conducted with the aim of developing previous studies that have successfully applied the science of graphology to analyze digital handwriting and characteristics of his personality through shape based feature extraction, which in the present study will be applied one method of psychological tests commonly used by psychologists to recognize human's personality that is Enneagram. The Enneagram method in principle will classify the personality traits of a person into nine types through a series of questions, which then calculated the amount of the overall weight of the answer. Thickness is what will provide direction personality type, which will then be matched with the personality type of the result of the graphology analysis of the handwriting. Personality type of handwritten analysis results is processed based on the personality traits that are the result of the identification of a combination of four dominant form of handwriting through the software output of previous studies, that Slant (tilt writing), Size (font size), Baseline, and Breaks (respite each word). From the results of this research can be found there is a correlation between personality analysis based on the psychology science to the graphology science, which results matching personality types by 81.6% of 49 respondents data who successfully tested. General TermsPattern Recognition, Handwritten Analysis.

A self adaptive cognitive deep learning framework for classifying graphology features to Big five personality traits

“…Enneagram personality scale classification using graphology features was explored in Pratiwi et al [25]. Though the accuracy is limited in this approach, it showed a positive correlation between personality and the graphology features.…”

Automated handwriting analysis based on pattern recognition: a survey

“…The size of handwriting is among the most essential factors and it reflects how an individual feels about the adaptability of a person, concentration, and nature. The size of handwriting can help to discover an individual's social aptitude [6,18,[29][30][31][32]. The margin of handwriting could be useful in handwriting analysis and the researchers use it to indicate personality characteristics like adjustment, intelligence, past and future, truthfulness, and fastness [3,18,[33][34][35].…”

“…Several researchers have been used the fuzzy system in their research. In research [30], the authors have been proposed fuzzy C-means as a classifier and the psychological method that used a series of questions to determine a human personality called enneagram and it archived the accuracy with 81.6%. In research [32], a fuzzy membership classifier is has been used to identify writer identification from handwriting Devanagari script and it gave accuracy with 97% on the test set.…”

“…The tendency of researchers to use their dataset is to determine the relationship between personality traits through handwriting. To find out this relationship, some researchers compare the results with various psychological questionnaire assessment methods that can be applied to handwriting analysis [4,8,30,44]. These datasets are dissimilar in sizes, age of participants, type of papers, male-female ratio, type of pen (ink pen, ballpoint pen, and ink colors), and many more.…”

“…Combining two or more features to created psychological traits would be a great interest and could convey useful information to determine personality traits. Some methods can be used: myer-briggs type indicators (MBTI) [4], five-factor models (FFM) [8], and enneagram [30] to measure the personality traits of an individual. Another measure of personality traits can be used for furthermore like 16PF questionnaire method and the Birkman Method.…”