Bashar Alshouha¹, Jesus Serrano-Guerrero^1,*, Francisco Chiclana², Francisco P. Romero¹, Jose A. Olivas¹

CMC-Computers, Materials & Continua, Vol.78, No.2, pp. 1933-1956, 2024, DOI:10.32604/cmc.2023.046711 - 27 February 2024

Abstract Personality recognition plays a pivotal role when developing user-centric solutions such as recommender systems or decision support systems across various domains, including education, e-commerce, or human resources. Traditional machine learning techniques have been broadly employed for personality trait identification; nevertheless, the development of new technologies based on deep learning has led to new opportunities to improve their performance. This study focuses on the capabilities of pre-trained language models such as BERT, RoBERTa, ALBERT, ELECTRA, ERNIE, or XLNet, to deal with the task of personality recognition. These models are able to capture structural features from textual… More >

Yiteng Zang¹, Biyun Xu², Sizhen Chen¹, Grace Mutale¹, Qiuyun Cao^3,*, Bingwei Chen^1,*

International Journal of Mental Health Promotion, Vol.25, No.12, pp. 1287-1302, 2023, DOI:10.32604/ijmhp.2023.042584 - 29 December 2023

Abstract Psychosis has increasingly become a social problem, emphasizing the need to understand the relationship between mental disorders and personality. This study aimed to investigate the relationship between mental disorders and personality among psychiatric outpatients based on real-world data. Symptom Checklist 90 (SCL-90) and Eysenck Personality Questionnaire (EPQ) were used to evaluate the personality and psychopathological symptoms of patients (n = 8409) in the Psychiatric Outpatient Department at Nanjing Drum Tower Hospital. t-test was used to compare scores between patients and national norms. Pearson’s correlation coefficient and path analysis were used to explore the relationship between mental… More >

Jialing Miao¹, Wei Liao^2,*, Baoguo Xie³

International Journal of Mental Health Promotion, Vol.25, No.10, pp. 1147-1157, 2023, DOI:10.32604/ijmhp.2023.030671 - 03 November 2023

Abstract Although employers believe that encouraging and supporting physical exercise activities by purchasing fitness equipment and building sports venues can improve employees’ well-being, the utilization rate is rather low. Since most of the evidence of the well-being promotion in the workplace concentrated on the perspectives of organizational factors and psychosocial factors and focused on the reduction of the negative affect of well-being, it is still an open question whether physical exercise has benefits on both negative and positive affect of wellbeing and who benefits more from physical exercise. Thus, the purpose of this study is to… More >

Mohammed Salahat¹, Liaqat Ali¹, Taher M. Ghazal^2,3,*, Haitham M. Alzoubi⁴

CMC-Computers, Materials & Continua, Vol.76, No.1, pp. 1-17, 2023, DOI:10.32604/cmc.2023.036019 - 08 June 2023

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… More >

Yuxin Li¹, Fengping Yan², Yixin Zhang¹, Man Li^1,3,4, Tour Liu^1,3,4,*

International Journal of Mental Health Promotion, Vol.25, No.6, pp. 767-781, 2023, DOI:10.32604/ijmhp.2023.026969 - 06 May 2023

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… More > Graphic Abstract

Yating Miao^1,2,*, 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 - 21 February 2023

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… More >

Kainat Ibrar¹, Abdul Muiz Fayyaz¹, Muhammad Attique Khan², Majed Alhaisoni³, Usman Tariq⁴, Seob Jeon⁵, Yunyoung Nam^6,*

Computer Systems Science and Engineering, Vol.46, No.2, pp. 2351-2368, 2023, DOI:10.32604/csse.2023.036185 - 09 February 2023

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 More >

Saman Riaz¹, Ali Arshad², Shahab S. Band^3,*, Amir Mosavi⁴

CMC-Computers, Materials & Continua, Vol.75, No.1, pp. 2301-2312, 2023, DOI:10.32604/cmc.2023.028333 - 06 February 2023

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 More >

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 - 19 July 2022

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… More >

Yunqi Hu^1,2,3,#, Yanhui Xiang^1,2,3,#,*

International Journal of Mental Health Promotion, Vol.24, No.6, pp. 945-957, 2022, DOI:10.32604/ijmhp.2022.019917 - 28 September 2022

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 More >