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Communication Dans Un Congrès Année : 2019

Handwriting and Drawing Features for Detecting Personality Traits

Résumé

This research reports on handwriting/drawing quantitative features and their links with personality traits. To this aim, handwriting/drawing tasks have been proposed to 78 subjects (equally balance by gender and aged between 22-35 years), which were first administered the Big Five Personality questionnaire (BFQ). Subjects were clustered as low, typical, and high according to the scores obtained to each 5 personality dimensions (Openness, Conscientiousness, Extraversion, Agreeableness, Neuroticism). Measures of pressure, ductus, time, space, and inclination, were computed from digital recordings of the proposed handwriting/drawing tasks through an INTUOS WACOM digitizing tablet. On these data, ANOVA repeated measures were performed with gender and group category (low, typical and high for each of the BFQ dimension) as between and associated computed measures as within factors. Results show significant differences for each of the BFQ dimension among subject group categories and handwriting/drawing measures connecting quantitatively personality traits to graphology
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Dates et versions

hal-04277461 , version 1 (09-11-2023)

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Citer

Anna Esposito, Terry Amorese, Michele Buonanno, Marialucia Cuciniello, Antonietta Esposito, et al.. Handwriting and Drawing Features for Detecting Personality Traits. 2019 10th IEEE International Conference on Cognitive Infocommunications (CogInfoCom), Oct 2019, Naples, Italy. pp.79-84, ⟨10.1109/CogInfoCom47531.2019.9089985⟩. ⟨hal-04277461⟩
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