Please use this identifier to cite or link to this item: http://hdl.handle.net/2122/16342
Authors: Esposito, Anna* 
Amorese, Terry* 
Buonanno, Michele* 
Cuciniello, Marialucia* 
Esposito, Antonietta M.* 
Faundez-Zanuy, Marcos* 
Likforman-Sulem, Laurence* 
Riviello, Maria Teresa* 
Spagnuolo, Carmine* 
Troncone, Alda* 
Cordasco, Gennaro* 
Title: Handwriting and Drawing Features for Detecting Personality Traits: An Analysis on Big Five Sub-dimensions
Journal: Acta Polytechnica Hungarica 
Series/Report no.: 11/19 (2022)
Publisher: Obuda University
Issue Date: Nov-2022
DOI: 10.12700/APH.19.11.2022.11.4
URL: http://acta.uni-obuda.hu/Esposito_Amorese_Bounanno_Cuciniello_Esposito_Faundez-Zanuy_Likforman-Sulem_Riviello_Spagnuolo_Troncone_Cordasco_129.pdf
Keywords: Personality traits
Big Five
Handwriting and drawing tasks
Graphology
Abstract: Handwriting and Drawing are functional tasks involving physical and cognitive processes. Recently they have been investigated for detecting cognitive and motor disorders. In this work, handwriting/drawing features are investigated for identifying connections with personality traits. For this purpose, an experiment comprising seven handwriting/drawing tasks has been administrated to 78 young adults (mean age=24.6 ± 2.4 years) equally balanced by gender. Handwriting and Drawing activities - both on and close to the paper – had been recorded online through a digitizing tablet able to measure handwriting and drawing features such as pressure, speed, dimension, and inclination of each pen-stroke on the paper. Participants were asked to fill the Big Five Personality Questionnaire (BFQ) and according to the scores obtained for each of the 5 dimensions and 10 Big Five sub-dimensions, were partitioned into three categories: low, typical, and high. To evaluate whether the recorded handwriting/drawing features are connected with personality traits ANOVA repeated measures have been performed with gender and group category (low, typical, and high) as between and the listed handwriting/drawing features as within factors. The analyses show significant differences among low, typical and, high BFQ scores for the main Big Five dimensions and the ten Big Five sub-dimensions, indicating that personality traits can be revealed by a quantitative analysis of the proposed handwriting/drawing features.
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