Percorrer por autor "Ferraz, Mariana"
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- Acceptance of industrial collaborative robots: Preliminar results of appliction of portuguese version of the Frankenstein Syndrome Questionnaire (FSQ)Publication . Pinto, Ana; Ferraz, Mariana; Nomura, Tatsuya; Santos, JoanaCobots are highly flexible and able to operate in the same workspace and at the same time with the worker. The use of these technologies allows for increased production performance while ensuring comfort and confidence for the worker. Robot acceptance is still a controversial topic with various approaches and methods to measure acceptance of humanoid robots. This study aimed to evaluate cobots acceptance after a motor assembly task in a collaborative workstation. 30 university students were divided into two groups, with group 1 having read the assembly instructions before the usage of the assembly workstation and group 2 without having any previous knowledge about the car engine. All participants completed the Portuguese version of the Frankenstein Syndrome Questionnaire (FSQ). Data analyses were carried out using descriptive and inferential statistics using IBM SPSS Statistics software, version 28.0. One correlations was found between the scales of the FSQ (p < 0.05). It was possible to conclude that the acceptance of robots by the participants in group 1 and group 2 was the same. This study can contribute to understanding which factors explain the acceptance of collaborative robots, to improve human-robot intercation.
- Cognitive workload and fatigue in a human-robot collaborative assembly workstation: A pilot studyPublication . Santos, Joana; Ferraz, Mariana; Pinto, Ana; Rocha, Luís Freitas; Costa, Carlos M.; Simões, Ana Correia; Bombeke, Klass; Vaz, MárioIndustry 5.0 represents a novel approach that builds upon the advancements of Industry 4.0 and is aimed at fostering a more harmonious relationship between humans and machines to prioritize resource efficiency and user-centered manufacturing.Objective: This paper presents a study, integrated in the COBOSHe project, for assessing and analyzing the cognitive workload and fatigue, using heart rate (HR) and a perceived scale related to fatigue, in a car engine assembly in which a robot and ahuman operator are performing tasks in a shared workspace. For this purpose, a sample of 30 subjects were divided into two groups, with group A having read the assembly instructions before the usage of the assembly workstation and group B without having any previous knowledge about the car engine. The data analysis was carried out using descriptive and inferential statistics (Kruskal-Wallis’s test and Spearman's correlation test) in the IBM SPSS Statistics software, version 28.0. The results showed thatHRand perceived fatigue didn’t had statistical differences between groups(p=0.380). There is insufficient statistical evidence, to state that the subscales of SOFI are not identical between the two groups(p >0.05). Therefore, we conclude that the usage of the augmented reality system in the assembly workstation for providing on demand instructions was intuitive and allowed the operators to learn how to assemble the car engine without requiring any previous knowledge about the assembly process. This type of study allows to improve collaborative workstations, as it increases the efficiency and productivity of production lines.
- Digital workplace competencies and their outcomes: A systematic literature reviewPublication . Pinheiro, Sofia; Pinto, Ana; Simões, Ana Correia; Ferraz, Mariana; Domingues, Ana Raquel; Santos, Joana; Ferraz, MarianaThe rapid digital transformation of work environments has heightened the need to understand not only which competencies are essential but also how they influence workplace outcomes. This study presents a systematic literature review (SLR) of 46 peer-reviewed articles published between 2018 and 2023, following the PRISMA methodology across Scopus, Web of Science, and ERIC databases. This review has two objectives: (1) to synthesize how digital competencies are conceptualized and developed in workplace contexts, and (2) to analyze the measurable outcomes associated with their acquisition. Competencies were categorized using the DigComp 2.2 and the European Key Competence Framework for Lifelong Learning, capturing both digital competencies (e.g., communication, collaboration, problem-solving, data literacy) and transversal skills (e.g., STEM, personal, social, and learning). The findings highlight strong associations between competencies and outcomes such as innovation, performance, engagement, and well-being, while also noting risks like job loss, digital fatigue, and peer-to-peer friction. The review underscores the multidimensional and evolving nature of digital workplace competencies, identifies underexplored areas such as AI literacy, ethical awareness, and virtual teamwork, and provides insights for organizational training, policy design, and curriculum development. Future research should establish hierarchical models of competence influence on work performance and broaden the evidence base through interdisciplinary and cross-sectoral perspectives.
- Studies on IAQ and the potential relationship between airbone microorganisms and particulate matter in a school setting: A protocol for a systematic reviewPublication . Ferraz, Mariana; Alves, Sandra; Santos, Joana; Vieira da Silva, ManuelaIndoor Air Quality (IAQ) encompasses a broad spectrum of chemical, physical, and biological agents that can have different impacts on vulnerable demographics, namely the elderly and children (Basińska et al., 2019; Mishra et al., 2015). The levels of pollutants can fluctuate based on their origins, potentially representing health risks. Enhancing IAQ requires a deep understanding of factors contributing to air quality (Mannan & Al-Ghamdi, 2021). This is especially critical in educational settings, where children, due to their sensitivity, spend significant periods indoors. Additionally, they are susceptible to the effects of pollutants such as particulate matter, bacteria, and fungi (Sadrizadeh et al., 2022).
- A systematic review of indoor air quality in schools settings: Focus on microbiome and their relation to particulate matter and chemical pollutantsPublication . Ferraz, Mariana; Santos, Joana; Silva, Manuela Vieira da; Santos, Joana; Vieira da Silva, Manuela; Ferraz, MarianaIndoor air quality (IAQ) in schools is a growing concern due to its impact on children's health. Continuous exposure to indoor air pollutants, such as particulate matter (PM), carbon dioxide (CO 2 ), and microorganisms, such as bacteria and fungi, can affect school performance, increase absenteeism, and trigger respiratory problems. This systematic review aimed to analyze the potential correlation between the presence of microorganisms and PM and chemical pollutants in school indoor environments. Study design: A systematic literature review was conducted using the methodology PRISMA and 25 articles were selected. The current systematic review follow the steps: definition of research objectives; selection of the science databases; definition of keywords; establishment of the inclusion and exclusion criteria, evaluation process and evaluation and management of selected studies. The findings highlight the significant presence of airborne microorganisms, including bacteria and fungi, often associated with PM and chemical pollutants such as CO 2 correlations between CO 2 and volatile organic compounds (VOCs). Positive and bacteria were observed in ten studies and were statistically significant in six of them. Both positive and negative correlations between fungi and CO 2 were reported. Fungal genera such as Aspergillus spp. And Cladosporium spp. Were associated with particulate matter (PM). In general, the concentrations of bacteria and fungi were often correlated with PM levels, with larger particles (PM 10 adhesion and transport of microorganisms, while smaller particles (PM 2 . 5 ) favoring the ) remain suspended in the air for longer periods, increasing exposure. Despite the methodological variations among the various studies, the results reinforce the need to create effective interventions to reduce pollutant concentrations to minimize health risks for occupants.
