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  • Open Access


    Stress Coping of Chinese International Students in Face of COVID 19 Pandemic: Cultural Characteristics

    Mian Xia1,2,3,*, Changming Duan4

    International Journal of Mental Health Promotion, Vol.22, No.3, pp. 159-172, 2020, DOI:10.32604/IJMHP.2020.011117

    Abstract The purpose of this study was to investigate the stress and coping strategy of Chinese International Students (CISs) during the epidemic, and to explore the relationship between identification with Chinese cultural beliefs and coping strategies, positive experience, negative emotion and need for psychological support. Two hundred and thirty CISs participated in the study by filling out a series of questionnaires that we designed. The series of questionnaires contained six scales: Pandemic Related Stress (PRS), Identification with Chinese Cultural Beliefs (ICCB), Stress Coping Strategy (SCS), Positive Experience (PE) and Negative Emotion (NE) and Need for Psychological… More >

  • Open Access


    Statistical Analysis and Multimodal Classification on Noisy Eye Tracker and Application Log Data of Children with Autism and ADHD

    Mahiye Uluyagmur Ozturka, Ayse Rodopman Armanb, Gresa Carkaxhiu Bulutc, Onur Tugce Poyraz Findikb, Sultan Seval Yilmazd, Herdem Aslan Gencb, M. Yanki Yazgane,f, Umut Tekera, Zehra Cataltepea

    Intelligent Automation & Soft Computing, Vol.24, No.4, pp. 891-905, 2018, DOI:10.31209/2018.100000058

    Abstract Emotion recognition behavior and performance may vary between people with major neurodevelopmental disorders such as Autism Spectrum Disorder (ASD), Attention Deficit Hyperactivity Disorder (ADHD) and control groups. It is crucial to identify these differences for early diagnosis and individual treatment purposes. This study represents a methodology by using statistical data analysis and machine learning to provide help to psychiatrists and therapists on the diagnosis and individualized treatment of participants with ASD and ADHD. In this paper we propose an emotion recognition experiment environment and collect eye tracker fixation data together with the application log data More >

  • Open Access


    System Integration for Cognitive Model of a Robot Partner

    Jinseok Woo, János Botzheim, Naoyuki Kubota

    Intelligent Automation & Soft Computing, Vol.24, No.4, pp. 829-841, 2018, DOI:10.1080/10798587.2017.1364919

    Abstract This paper introduces the integrated system of a smart-device-based cognitive robot partner called iPhonoid-C. Interaction with a robot partner requires many elements, including verbal communication, nonverbal communication, and embodiment as well. A robot partner should be able to understand human sentences, as well as nonverbal information such as human gestures. In the proposed system, the robot has an emotional model connecting the input information from the human with the robot’s behavior. Since emotions are involved in human natural communication, and emotion has a significant impact on humans’ actions, it is important to develop an emotional More >

  • Open Access


    Building Ontology for Different Emotional Contexts and Multilingual Environment in Opinion Mining

    Wan Taoa,b, Tao Liua,b

    Intelligent Automation & Soft Computing, Vol.24, No.1, pp. 65-72, 2018, DOI:10.1080/10798587.2016.1267243

    Abstract With the explosive growth of various social media applications, individuals and organizations are increasingly using their contents (e.g. reviews, forum discussions, blogs, micro-blogs, comments, and postings in social network sites) for decision-making. These contents are typical big data. Opinion mining or sentiment analysis focuses on how to extract emotional semantics from these big data to help users to get a better decision. That is not an easy task, because it faces many problems, such as different context may make the meaning of the same word change variously, at the same time multilingual environment restricts the More >

  • Open Access


    COVID-19 Public Opinion and Emotion Monitoring System Based on Time Series Thermal New Word Mining

    Yixian Zhang1, Jieren Cheng2, *, Yifan Yang2, Haocheng Li2, Xinyi Zheng2, Xi Chen2, Boyi Liu3, Tenglong Ren4, Naixue Xiong5

    CMC-Computers, Materials & Continua, Vol.64, No.3, pp. 1415-1434, 2020, DOI:10.32604/cmc.2020.011316

    Abstract With the spread and development of new epidemics, it is of great reference value to identify the changing trends of epidemics in public emotions. We designed and implemented the COVID-19 public opinion monitoring system based on time series thermal new word mining. A new word structure discovery scheme based on the timing explosion of network topics and a Chinese sentiment analysis method for the COVID-19 public opinion environment are proposed. Establish a “Scrapy-Redis-Bloomfilter” distributed crawler framework to collect data. The system can judge the positive and negative emotions of the reviewer based on the comments, More >

  • Open Access


    Performance Evaluation of Supervised Machine Learning Techniques for Efficient Detection of Emotions from Online Content

    Muhammad Zubair Asghar1, Fazli Subhan2, Muhammad Imran1, Fazal Masud Kundi1, Adil Khan3, Shahboddin Shamshirband4, 5, *, Amir Mosavi6, 7, 8, Peter Csiba8, Annamaria R. Varkonyi Koczy8

    CMC-Computers, Materials & Continua, Vol.63, No.3, pp. 1093-1118, 2020, DOI:10.32604/cmc.2020.07709

    Abstract Emotion detection from the text is a challenging problem in the text analytics. The opinion mining experts are focusing on the development of emotion detection applications as they have received considerable attention of online community including users and business organization for collecting and interpreting public emotions. However, most of the existing works on emotion detection used less efficient machine learning classifiers with limited datasets, resulting in performance degradation. To overcome this issue, this work aims at the evaluation of the performance of different machine learning classifiers on a benchmark emotion dataset. The experimental results show More >

  • Open Access


    Small atrial septal defects are associated with psychiatric diagnoses, emotional distress, and lower educational levels

    Sebastian Udholm1, Camilla Nyboe1, Thomas Meinertz Dantoft2, Torben Jørgensen2,3,4, Charlotte U. Rask5, Vibeke E. Hjortdal1

    Congenital Heart Disease, Vol.14, No.5, pp. 803-810, 2019, DOI:10.1111/chd.12808

    Abstract Objective: For the first time, we wish to assess the psychiatric burden in adult patients living with small, unrepaired atrial septal defects (ASD) using register‐based data, com‐ bined with self‐reported measures on levels emotional distress and educational status.
    Design: A descriptive study using both the unique Danish registries and validated psychiatric questionnaires and scales, including: The Symptom Checklist, Whiteley‐7, and Brief Illness Perception Questionnaire.
    Patients: Adult patients with small, unrepairedASD, diagnosed between 1953 and 2011.
    Outcome Measures: Number of register‐based psychiatric diagnoses. Additionally, symptoms of anxiety, depression, somatization, health anxiety, illness perception, and levels of educational attainment compared to… More >

  • Open Access


    Hidden Dangers of Identity Switching: The Influence of Work-Family Status Consistency on Emotional Exhaustion and Workplace Deviance

    Zijing Wang1, Min (Maggie) Wan2, Huaying Wang3,*, Yuchen Wei4

    International Journal of Mental Health Promotion, Vol.20, No.1, pp. 1-13, 2018, DOI:10.32604/IJMHP.2018.010732

    Abstract Workplace deviance is an important problem in organization management. Previous studies focused too much on the influence of various factors in the workplace and ignored the interference of family factors. We integrate emotional social function theory and emotional labor theory, and examine the effect of (in) congruence between work and family status on workplace deviance. Using longitudinal data and polynomial regression, we find that: (1) Emotional exhaustion is higher when work and family status are congruent; (2) In the case of work-family congruence, emotional exhaustion is higher when work and family status are aligned at More >

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