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  • Open Access


    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


    Personality and Nomophobia: A Moderated Mediation Model of Self-Esteem and Non-Self-Determined Solitude

    Yuxin Li1, Fengping Yan2, Yixin Zhang1, Man Li1,3,4, Tour Liu1,3,4,*

    International Journal of Mental Health Promotion, Vol.25, No.6, pp. 767-781, 2023, DOI:10.32604/ijmhp.2023.026969

    Abstract Background: With the development of information technology, mobile phone has brought much convenience to people’s lives but also caused many negative consequences due to excessive use, such as mobile phone addiction and nomophobia. Previous studies have explored the relationship between the Big Five Personality and problematic mobile phone use (PMPU). However, they focus on mobile phone addiction. Although there is a correlation between nomophobia and mobile phone addiction, the psychological structure is different. Therefore, it is necessary to explore the relationship between personality and nomophobia and the underlying mechanism. This study aims to examine the relationship between Big Five Personality… More > Graphic Abstract

    Personality and Nomophobia: A Moderated Mediation Model of Self-Esteem and Non-Self-Determined Solitude

  • Open Access


    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


    Human Personality Assessment Based on Gait Pattern Recognition Using Smartphone Sensors

    Kainat Ibrar1, Abdul Muiz Fayyaz1, Muhammad Attique Khan2, Majed Alhaisoni3, Usman Tariq4, Seob Jeon5, Yunyoung Nam6,*

    Computer Systems Science and Engineering, Vol.46, No.2, pp. 2351-2368, 2023, DOI:10.32604/csse.2023.036185

    Abstract Human personality assessment using gait pattern recognition is one of the most recent and exciting research domains. Gait is a person’s identity that can reflect reliable information about his mood, emotions, and substantial personality traits under scrutiny. This research focuses on recognizing key personality traits, including neuroticism, extraversion, openness to experience, agreeableness, and conscientiousness, in line with the big-five model of personality. We inferred personality traits based on the gait pattern recognition of individuals utilizing built-in smartphone sensors. For experimentation, we collected a novel dataset of 22 participants using an android application and further segmented it into six data chunks… More >

  • Open Access


    Deep Bimodal Fusion Approach for Apparent Personality Analysis

    Saman Riaz1, Ali Arshad2, Shahab S. Band3,*, Amir Mosavi4

    CMC-Computers, Materials & Continua, Vol.75, No.1, pp. 2301-2312, 2023, DOI:10.32604/cmc.2023.028333

    Abstract Personality distinguishes individuals’ patterns of feeling, thinking, and behaving. Predicting personality from small video series is an exciting research area in computer vision. The majority of the existing research concludes preliminary results to get immense knowledge from visual and Audio (sound) modality. To overcome the deficiency, we proposed the Deep Bimodal Fusion (DBF) approach to predict five traits of personality-agreeableness, extraversion, openness, conscientiousness and neuroticism. In the proposed framework, regarding visual modality, the modified convolution neural networks (CNN), more specifically Descriptor Aggregator Model (DAN) are used to attain significant visual modality. The proposed model extracts audio representations for greater efficiency… More >

  • Open Access


    How Child Maltreatment Enduringly Impacts Aggression: A Perspective Based on Personality Solidification

    Yunqi Hu1,2,3,#, Yanhui Xiang1,2,3,#,*

    International Journal of Mental Health Promotion, Vol.24, No.6, pp. 945-957, 2022, DOI:10.32604/ijmhp.2022.019917

    Abstract It has been shown that early experiences of maltreatment can stably influence an individual’s internal and external aggressive behavior in adulthood. And on what mechanisms do this stability arise? From the perspective of personality solidification theory, this study sample of 1951 primary and secondary school students was used to explore the relationship between child maltreatment, Big Five personality and internalized and externalized aggression, as well as the different mechanisms of differentiation of personality components in child maltreatment on two different natures of aggression, using four scales: The Childhood Trauma Questionnaire (CTQ), Revised NEO Personality Inventory (NEO-PI-R), None-suicidal Self-Injury Scale and… More >

  • Open Access


    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 >

  • Open Access


    Do Personality Variables Predict Job Embeddedness and Proclivity to Be Absent from Work?

    Rashin Kaviti, Osman M. Karatepe*

    International Journal of Mental Health Promotion, Vol.24, No.3, pp. 331-345, 2022, DOI:10.32604/ijmhp.2022.018516

    Abstract The current knowledge base lacks evidence about situational- and surface-level personality variables and their impacts on job embeddedness and proclivity to be absent from work. With this recognition, drawing from the hierarchical personality model and fit theory as well as job embeddedness theory, our paper explores the influences of job resourcefulness (JR) and customer orientation (CO) on job embeddedness and propensity to be absent from work. We tapped time-lagged data gathered from hotel customer-contact employees in the United Arab Emirates to assess the aforementioned linkages via structural equation modeling. CO is a complete mediator between JR and job embeddedness, while… More >

  • Open Access


    Personality Detection Using Context Based Emotions in Cognitive Agents

    Nouh Sabri Elmitwally1,2, Asma Kanwal3,4, Sagheer Abbas3, Muhammad A. Khan5, Muhammad Adnan Khan6,*, Munir Ahmad3, Saad Alanazi1

    CMC-Computers, Materials & Continua, Vol.70, No.3, pp. 4947-4964, 2022, DOI:10.32604/cmc.2022.021104

    Abstract Detection of personality using emotions is a research domain in artificial intelligence. At present, some agents can keep the human’s profile for interaction and adapts themselves according to their preferences. However, the effective method for interaction is to detect the person’s personality by understanding the emotions and context of the subject. The idea behind adding personality in cognitive agents begins an attempt to maximize adaptability on the basis of behavior. In our daily life, humans socially interact with each other by analyzing the emotions and context of interaction from audio or visual input. This paper presents a conceptual personality model… More >

  • Open Access


    Factors Associated with Quality of Life of Psychiatric Outpatients with Chronic Pain in South Korea

    Eun-Joo Choi1, So Yeon Yoo2,*

    International Journal of Mental Health Promotion, Vol.22, No.2, pp. 93-104, 2020, DOI:10.32604/IJMHP.2020.011059

    Abstract Chronic pain has a high prevalence rate and is difficult to treat because it is associated with personality, socio-psychological problems as well as physical pain, and thereby degrades one’s quality of life. This study aimed to determine whether psychosocial factors are associated with quality of life among outpatients with chronic pain. The subjects were selected from patients with chronic pain who were receiving outpatient treatment at the mental health department of a university hospital in Seoul, Korea. The participants were 100 patients and the data were collected using structured questionnaires. Patients’ quality of life was significantly positively correlated with pain… More >

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