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  1. Tao H, Rahman MA, Al-Saffar A, Zhang R, Salih SQ, Zain JM, et al.
    Work, 2021;68(3):853-861.
    PMID: 33612528 DOI: 10.3233/WOR-203419
    BACKGROUND: Nowadays, workplace violence is found to be a mental health hazard and considered a crucial topic. The collaboration between robots and humans is increasing with the growth of Industry 4.0. Therefore, the first problem that must be solved is human-machine security. Ensuring the safety of human beings is one of the main aspects of human-robotic interaction. This is not just about preventing collisions within a shared space among human beings and robots; it includes all possible means of harm for an individual, from physical contact to unpleasant or dangerous psychological effects.

    OBJECTIVE: In this paper, Non-linear Adaptive Heuristic Mathematical Model (NAHMM) has been proposed for the prevention of workplace violence using security Human-Robot Collaboration (HRC). Human-Robot Collaboration (HRC) is an area of research with a wide range of up-demands, future scenarios, and potential economic influence. HRC is an interdisciplinary field of research that encompasses cognitive sciences, classical robotics, and psychology.

    RESULTS: The robot can thus make the optimal decision between actions that expose its capabilities to the human being and take the best steps given the knowledge that is currently available to the human being. Further, the ideal policy can be measured carefully under certain observability assumptions.

    CONCLUSION: The system is shown on a collaborative robot and is compared to a state of the art security system. The device is experimentally demonstrated. The new system is being evaluated qualitatively and quantitatively.

    Matched MeSH terms: Cognitive Science
  2. Iffah Adlina, Ibrahim, Tan Kock, Wah
    MyJurnal
    Academic self-efficacy is important for students which will help them to perform better in studies. This study aims to explore the level of academic self-efficacy among UNIMAS undergraduates based on gender, CGPA and trait emotional intelligence. The samples of study involved are 50 male and 50 female participants which consists of final year students from Faculty of Cognitive Sciences and Human Development. The academic self-efficacy of the students is measured using the questionnaire adopted from a study by Sachitra and Bandara (2017) and The Short Form (TEIQue-SF) Trait Emotional Intelligence Questionnaire is used to measure the trait emotional intelligence of the undergraduates. The result was analyzed using descriptive analysis and inferential analysis; independent samples t-test, One-Way ANOVA and Pearson’s correlation. The results of the study have shown that female students have higher academic self-efficacy compared to male students. In addition, students who obtain a higher CGPA also have higher self-efficacy. There was also a small positive correlation between trait emotional intelligence and academic self-efficacy.
    Matched MeSH terms: Cognitive Science
  3. Ahmad Sofian, Shminan, Rehman, Ullah Khan, Wan Norizan, Wan Hashim, Iswandy, Jamaludin
    MyJurnal
    The world has suffered from a critical shortage of Personal Protective Equipment (PPE) (Riva et al., 2007) during the pandemic of Covid-19 for medical staffs, the front liners. Like the whole world, Malaysia also imposed the stay-at-home and Movement Control Order (MCO) to break the chain of infections and flatten the curve of cases. The supply of PPE became a challenge during the lock down. There have been joined efforts from various parties stepping up, with different ways to help the production process of these key equipment but mostly focus on PPTs for male. Another challenge was face mask for Muslim lady health workers who wear hijab. This paper is about how to overcome these challenges and designed a novel face mask clip for hijab, using 3D printing. The face mask clip is for wearing a mask over hijab and is designed by generating a 3D digital file using computer-aided design (Hourcade, Bullock-Rest, & Hansen, 2012) software. Then the 3D design was converted to Standard Tessellation Language (STL) format, for the use of 3D printing systems. Then the design was split into layers for precise printing. The clips were tested by the staff in faculty of Cognitive Sciences and Human Development, Universiti Malaysia Sarawak. Feedbacks were collected by an online survey using the modified System Usability Scale. The participants reported that the clips are very comfortable and easy to use.
    Matched MeSH terms: Cognitive Science
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