C644867037-00000013-9/15 • GA_RV/RA GREENAUTO: VR/AR Operator guidance system
Principal Researcher:
Serafim Oliveira
Duration: 2022 – 2025
Cised team members
José Luís Silva
Rui Pedro Duarte
João Menoita Henriques
Paulo Vaz
Daniel Albuquerque
Ricardo Gama
This project proposes impactful innovations in quality control processes through the development of a system for guidance of operators aided by virtual and augmented reality, and it is expected to address the digitalization applied to tasks performed by operators supported by virtual reality training and augmented reality. Creating a system that combines these components will accelerate the learning curve of new operators and prevent critical factors and operational errors.
PIDI/CISeD/2023/011 • Modelos de Inteligência Artificial para Deteção de Stress Crónico e Padrões de Movimento em Ambientes de Atividades da Vida Diária
Principal Researcher:
Rui Pedro Duarte
Duration: 2022 – 2024
Cised team members
Carlos Augusto da Silva Cunha
For a long time, stress has been considered an important health factor that affects the quality of life. Several studies indicate that excessive and continuous stress can trigger or worsen several diseases, such as cancer and cardiovascular.
Stress is a response to a stressor, an external stimulus or condition that causes an emotional, physical, or psychological change in the individual. However, even though momentary stress can be easily identified, it is hard for people to recognize that they are living a stressful life. Multiple sclerosis (MS) is a chronic disease that affects individuals. It has symptoms on diverse levels, such as vision, fatigue, numbness and tingling, muscle spasms, stiffness and weakness, mobility problems, problems with thinking, learning, planning, and even depression and anxiety. With this, a few critical questions need to be raised: Is there any relation between stress and MS exacerbations? What are the relevant biomarkers to identify continuous stress? Are they reliable? Are their measurements little intrusive?
Thus, it is vital to measure stress and identify its types, in order to monitor and help people to deal with the manifestations of stress. It becomes crucial to identify continuous stress, as there are studies that indicate that it has a negative impact, while a systemic stress situation may even be rewarded. The monitoring process of this continuous stress needs to be controlled and with low intrusion in the user, so that it does not have negative effects on their lifestyle. For that, there are several biomarkers to identify stress in people, but not all are recommended. The most indicated biomarkers are heart rate (HR) and electrical conductivity, which can be monitored by devices such as smart watches. With this, it is possible to train artificial intelligence models to create a solution to detect long-term stress, which does not harm people's quality of life.
University-Industry cooperation from a business perspective: a European approach
2022 [Natália de Lima Figueiredo]
University-Industry cooperation from a business perspective: a European approach. http://hdl.handle.net/10400.6/12589
Gestão | Universidade da Beira Interior, Portugal
The Actual Mobility Paradigm, the new cars and the purchase challenge
Gouveia, E., & Santos, V. (2022).
The Actual Mobility Paradigm, the new cars and the purchase challenge.
Millenium – Journal of Education, Technologies, and Health, 2(19).
https://doi.org/10.29352/mill0219.28157
Antecedents, processes and outcomes of an internship program: an employer’s perspective
Kroon, N., Franco, M. (2022).
Antecedents, processes and outcomes of an internship program: an employer’s perspective.
Journal of Applied Research in Higher Education, 14(2), 556-574.
https://doi.org/10.1108/JARHE-09-2020-0315
Destination Brand Love
Amaro, S. (2022).
Destination Brand Love.
In D. Buhalis (Ed.), Encyclopedia of Tourism Management and Marketing (pp. 839-842).
Edward Elgar Publishing.
https://doi.org/10.4337/9781800377486.destination.brand.love
2021-1-TR01-KA220-HED-000027617 • EARLY DISTANCE LEARNING MODEL REINFORCED WITH ROBOTICS FOR 3-7 YEARS OLD CHILDREN
Duration: 2022 – 2024
CISeD Team members
Valter Alves
Funding:
Erasmus+
The aim of this Erasmus + EARLY project is to raise awareness and skills of pre-service and in-service preschool teachers of 3-7 year old children about distance education for Early Childhood Education, by developing resources, like, a manual for early education online labs including dynamic content which is linked to a distance learning module and enriched with robotics to practice in classrooms as well as in distance learning. The project will also assist preschool teachers to improve their professional profiles by giving hands-on training supported with digital teaching tools and robots. The project will also provide a higher education modular course curriculum, using open-source coding tools and various robotics kits tested for those age-groups. The process wil be developed as a design-based research process, including several contributions from stakeholders and experts.
The Korsakow platform and nonlinear narratives as a means to enhance foreign language learning in HE
Lopes, A. M. C., Oliveira, I., Pereira, J., Gillain, R., Amante, S., Fidalgo, S., Relvas, S., Delplancq, V. (2022).
The Korsakow platform and nonlinear narratives as a means to enhance foreign language learning in HE.
International Journal of Human Sciences, 2(6).
DOI: 10.22533/at.ed.558262210034
Definition of Low Disease Activity State based on the SLE-DAS: Derivation and validation in a multicentre real-life cohort
Assunção, H., Jesus, D., Larosa, M., Henriques, C., Matos, A., Le Guern, V., Rubiño, F., et al. (2022).
Definition of Low Disease Activity State based on the SLE-DAS: Derivation and validation in a multicentre real-life cohort.
Rheumatology, 61(8), 3309-3316.
http://dx.doi.org/10.1093/rheumatology/keab895
