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- Real-time blink detection as an indicator of computer vision syndrome in real-life settings: an exploratory studyPublication . Lapa, Inês; Ferreira, Simão; Mateus, Catarina; Rocha, Nuno; Rodrigues, MatildeWith the increase in the number of people using digital devices, complaints about eye and vision problems have been increasing, making the problem of computer vision syndrome (CVS) more serious. Accompanying the increase in CVS in occupational settings, new and unobstructive solutions to assess the risk of this syndrome are of paramount importance. This study aims, through an exploratory approach, to determine if blinking data, collected using a computer webcam, can be used as a reliable indicator for predicting CVS on a real-time basis, considering real-life settings. A total of 13 students participated in the data collection. A software that collected and recorded users’ physiological data through the computer’s camera was installed on the participants’ computers. The CVS-Q was applied to determine the subjects with CVS and its severity. The results showed a decrease in the blinking rate to about 9 to 17 per minute, and for each additional blink the CVS score lowered by 1.26. These data suggest that the decrease in blinking rate was directly associated with CVS. These results are important for allowing the development of a CVS real-time detection algorithm and a related recommendation system that provides interventions to promote health, well-being, and improved performance.
- Autoavaliação e avaliação pelos pares: relato de prática pedagógica no processo de ensino aprendizagem PBL na licenciatura em Terapia Ocupacional da ESS IPPPublication . Miranda, Leonor G.; Faias, Joaquim; Marques, António; Coelho, Tiago; Rocha, Nuno; Portugal, Paula; Trigueiro, Maria João; Sousa, Helena; Fernandes, Ângela; Silva, VitorNos modelos de ensino aprendizagem, centrados no estudante tal como é o caso do Problem Based Learning (PBL) aplicado na licenciatura em Terapia Ocupacional (TO) da ESS, é preconizada a participação dos discentes no sistema de avaliação como meio de promover o próprio processo de ensino-aprendizagem. Assim, é entendida uma avaliação para a aprendizagem, onde existe uma oportunidade para uma conexão relevante entre a aprendizagem e a avaliação. A utilização de formas colaborativas de aprendizagem, tais como a autoavaliação e a avaliação pelos pares, possibilita ao professor compreender melhor como é que o estudante está a aprender e consequentemente ajustar o planeamento pedagógico. Por outro lado, proporciona ao estudante um maior foco na identificação de competências a desenvolver, promovendo a reflexão, a metacognição e uma participação e envolvimento pró-ativos. Neste relato, mais qualitativo, de prática pedagógica pretende-se partilhar/expressar o processo de autoavaliação e avaliação pelos pares que tem vindo a ser utilizado pelos estudantes de TO na ESS IPP e analisar as respetivas vantagens e desafios deste método, numa perspetiva tanto dos estudantes como dos tutores.
- Challenges of learning human digital twin: case study of mental wellbeing: Using sensor data and machine learning to create HDTPublication . Vildjiounaite, Elena; Kallio, Johanna; Kantorovitch, Julia; Kinnula, Atte; Ferreira, Simão; Rodrigues, Matilde; Rocha, NunoHuman Digital Twin (HDT) is a powerful tool to create a virtual replica of a human, to be used for example for designing interactions with physical systems, preventing cognitive overload, managing human capital, and maintaining a healthy and motivated workforce. Building human twins is a challenging task due to the need to reliably represent each corresponding human being, and the fact that human beings notably differ from each other. Therefore, relying solely on expert knowledge is insufficient, and human twins must learn the specifics of each individual in order to accurately represent them. This paper focuses on AI methods for modelling the mental wellbeing of knowledge workers because the mounting cognitive demands of both white-collar and blue-collar work lead to employees’ stress, and stress leads to diminished creativity and motivation, increased sick leaves, and in severe cases, accidents, burnouts, and disabilities. This paper describes the main building blocks of AI-based detectors of mental stress and highlights the main challenges and future directions of research., which are expected to be relevant also for HDT learning in other domains because the high degree of individuality is ubiquitous in all human activities.
- Virtual reality and neuropsychology: a cognitive rehabilitation approach for people with psychiatric disabilitiesPublication . Marques, A.; Queirós, C.; Rocha, N.This pilot-study evaluated the feasibility of a 9 month Cognitive Rehabilitation Program – using Virtual Reality and the Integrated Psychological Therapy (IPT) – to improve cognitive functioning in people with schizophrenia. In order to assess the program it was applied (pre and post) the WCST, WAIS-III sub-tests, Stroop Test, and The Subjective Scale to Investigate Cognition in Schizophrenia. Results identified significant differences (p<0.05) between pre and post tests in the subjective and objective assessed cognitive dimensions. The results point out that virtual reality technology and IPT may be a significant resource and intervention methodology in the cognitive remediation of people with psychiatric disabilities.
- Validation of a video-based system to determine heart rate for stress monitoringPublication . Ferreira, Simão; Rodrigues, Matilde; Rocha, NunoStudies estimate that about 50% of all lost workdays are related to occupational stress. Academic researchers have been using heart rate variability (HRV) as an indicator of stress. As a way of providing the needed heart rate data, an unobtrusive approach points to video plethysmography, being a recent method that needs further investigation and validation. Specific barriers such as room lighting conditions and face movement have been identified as the main risks for software progression. The present chapter presents a validation protocol of a video-based system to determine heart rate for stress monitoring, under different illuminance levels and position conditions. We present an in-depth protocol on how to assess the reliability of a video facial recognition software on collecting physiological data (heart rate), and our software results when compared to the gold standard, Electrocardiogram (ECG).