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  • Open Access

    ARTICLE

    Personality Assessment Based on Natural Stream of Thoughts Empowered with Machine Learning

    Mohammed Salahat1, Liaqat Ali1, Taher M. Ghazal2,3,*, Haitham M. Alzoubi4

    CMC-Computers, Materials & Continua, Vol.76, No.1, pp. 1-17, 2023, DOI:10.32604/cmc.2023.036019

    Abstract Knowing each other is obligatory in a multi-agent collaborative environment. Collaborators may develop the desired know-how of each other in various aspects such as habits, job roles, status, and behaviors. Among different distinguishing characteristics related to a person, personality traits are an effective predictive tool for an individual’s behavioral pattern. It has been observed that when people are asked to share their details through questionnaires, they intentionally or unintentionally become biased. They knowingly or unknowingly provide enough information in much-unbiased comportment in open writing about themselves. Such writings can effectively assess an individual’s personality traits that may yield enormous possibilities… More >

  • Open Access

    REVIEW

    Effects of Big Five, HEXACO, and Dark Triad on Counterproductive Work Behaviors: A Meta-Analysis

    Yating Miao1,2,*, Jigan Wang1, Rundian Shen1, Dongsheng Wang3

    International Journal of Mental Health Promotion, Vol.25, No.3, pp. 357-374, 2023, DOI:10.32604/ijmhp.2023.027950

    Abstract Purpose: This study investigates the effects of Big Five, HEXACO, and Dark Triad personality traits on counterproductive work behaviors (CWBs), and examines the moderating effects of countries where the studies were carried out, gender rate of samples, and scales used to measure personalities. Method: Following the rules of Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA), we include 74 empirical studies published between 2007 and September 2022 with 83 samples and 394 correlations. Studies are selected from both English databases such as Web of Science and Chinese databases such as CNKI. The meta-analysis and metaregression analysis were both performed… More >

  • Open Access

    ARTICLE

    Assessing Conscientiousness and Identify Leadership Quality Using Temporal Sequence Images

    T. S. Kanchana*, B. Smitha Evelin Zoraida

    Intelligent Automation & Soft Computing, Vol.35, No.2, pp. 2003-2013, 2023, DOI:10.32604/iasc.2023.029412

    Abstract Human Facial expressions exhibits the inner personality. Evaluating the inner personality is performed through questionnaires during recruitment process. However, the evaluation through questionnaires performs less due to anxiety, and stress during interview and prediction of leadership quality becomes a challenging problem. To the above problem, Temporal sequence based SENet architecture (TSSA) is proposed for accurate evaluation of personality trait for employing the correct person for leadership position. Moreover, SENet is integration with modern architectures for performance evaluation. In Proposed TSSA, face book facial images of a particular person for a period of one month and face images collect from different… More >

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