Rasa Paliskiene's research while affiliated with Vilnius Gediminas Technical University and other places

Publications (8)

Chapter
The main purpose of this article is to examine the relationship between the stress and labour productivity. It is recognized that high stress levels make a negative impact on the job productivity results – the incidents or errors occur because of stressful situations in the working environment. After performing the analysis of stress models, it can...
Chapter
The main purpose of this article is to examine the relationship between the stress and labour productivity. It is recognized that high stress levels make a negative impact on the job productivity results – the incidents or errors occur because of stressful situations in the working environment. After performing the analysis of stress models, it can...
Article
Full-text available
This article describes in detail the developed Biometric Advisory System to Analyze a User's Post-Disaster Stress Management. The system is based on algorithms developed by the authors. The system was developed and fine-tuned in the course of the Android project. The authors based their Advisory System on the presumption that, by assigning a user p...
Article
Full-text available
As the tempo of contemporary life quickens along with the increasing rates of competition on the art and media market, uncertainty about the future and continual demands for greater competency, the risk of experiencing stress unavoidably rises. Stress is the physiological and psychological state of tension in a person caused by external and interna...
Article
A sufficient amount of studies worldwide prove an interrelation linking student learning productivity and interest in learning to physiological parameters. An interest in learning affects learning productivity, while physiological parameters demonstrate such changes. Since the research by the authors of the present article confirmed these interdepe...
Article
Full-text available
This article describes the analysis of emotional state and work productivity using a Web-based Biometric Computer Mouse Advisory System to Analyze a User's Emotions and Work Productivity (Advisory system hereafter) developed by this paper's authors. The Advisory system determines the level of emotional state and work productivity integrally by empl...
Article
The experiences of undergoing economic crises attest that the loss of employment prompts an outbreak of mental illnesses and suicides, increases the numbers of heart attacks and strokes and negatively affects other illnesses suffered by individuals under stress. Negative stress can devastate a person, cause depression, lower productivity on the job...

Citations

... Como se mantuvo a lo largo de este documento, los entornos digitales de alto tecnoestrés pueden impactar de manera negativa la salud psicológica y fisiológica de los profesores, de ahí la importancia de un monitoreo que recolecte información textual, actitudinal y biométrica para la mejor toma de decisiones. El planteamiento se basa en los hallazgos de esta investigación, si bien toma en cuenta los trabajos de detección y aminoramiento del tecnoestrés de Kaklauskas et al. (2011), Kaklauskas et al. (2014), y Mohamed et al. (2019), los cuales plantearon sistemas automatizados que combinan la recolección masiva data de distinta índole, incluyendo biométrica, para el modelado de soluciones institucionales, independiente de la naturaleza operativa de la misma. ...
... Recommender systems in higher education have been extensively researched and studied for their potential for enhancing outcomes by improving the educational activities (Drachsler et al. 2015;Kaklauskas et al. 2013;Lu et al. 2015;. Recommendations are generally similar to subject recommendations, learning resource recommendation and books recommendations, and different learning activities/modes recommendations, such as meetings and conferences. ...
... Como se mantuvo a lo largo de este documento, los entornos digitales de alto tecnoestrés pueden impactar de manera negativa la salud psicológica y fisiológica de los profesores, de ahí la importancia de un monitoreo que recolecte información textual, actitudinal y biométrica para la mejor toma de decisiones. El planteamiento se basa en los hallazgos de esta investigación, si bien toma en cuenta los trabajos de detección y aminoramiento del tecnoestrés de Kaklauskas et al. (2011), Kaklauskas et al. (2014), y Mohamed et al. (2019), los cuales plantearon sistemas automatizados que combinan la recolección masiva data de distinta índole, incluyendo biométrica, para el modelado de soluciones institucionales, independiente de la naturaleza operativa de la misma. ...
... A probabilistic algorithm for classification and a use case scenario were described but no future work was found on our part to validate them. On the other hand, Kaklauskas et al. [13] developed and tested a biometric computer mouse advisory system to compute the work productivity and level of emotional state of users. The computer mouse that was designed included sensors measuring skin conductance, heart rate, touch intensity, temperature and humidity of the user's hand. ...