A novel mobile application for personality assessment based on the five-factor model and graphology

• DOI: 10.11591/ijeecs.v38.i2.pp915-927
• Publication Date: 2025-02-27T08:16:49Z
• Authors: Ahmed Remaida; Zineb Sabri; Benyoussef Abdell...; Chakir Fri; Yassine Lakhchaf; Younès El Bouzekr...; Mohammed Amine La...; Aniss Moumen
• Keywords: Factor (programming language)

With the rising interest over last decade, automated graphology has emerged as a promising filed of research, providing new insights on personality traits prediction basis handwriting analysis. Although, few practical solutions to automate extraction features and exist in literature. This work aims contribute closing gap by proposing novel mobile application that uses robust feature machine learning models predict big five traits. Our findings, based high correlations between characteristics traits, revealed convincing links. Notably, extraversion have strong with top margin feature, whereas agreeableness is expressed through line spacing. These findings emphasize ability properly interpret individual personalities. The proposed system achieved exceptional accuracy using well known classifiers. testing exceeded 92% binary classification 87% multi-class case scenario, proving adaptability dependability system’s architecture. Android app promises provide users unprecedented into their personalities, establishing tool for psychological assessment self-discovery.