Mindaugas Krutinis

Biometric Mouse Intelligent System for Student's Emotional and Examination Process Analysis

This paper describes the Web-based Biometric Mouse Intelligent System for Student’s Emotional and Examination Process Analysis (BMIS). BMIS is an online system and allows for more physiological, psychological and behavioural data to be generated from a larger pool of students for further analysis and research. Data is accumulated in individual student modules based on the student’s mouse movements, palm state and e-self-reports. The system extracts physiological and motor-behavioural parameters from mouse actions and hand characteristics, and the user fills in the psychological (e-self-reports) data, which can be used to analyse correlations with user’semotional state and labour productivity. Main features of the BMIS System are discussed, and the final recommendations for future research and improvement are included.

Multi‐objective evaluation of microclimate in dwelling

Abstract When the customers’ demands grow, it becomes topical to evaluate peculiarities of inside climate of a building. This article describes buildings indoor microclimate research. The results are commented and compared to valid hygienic standards. Deflections from standards are explained and there is an information on how to avoid them. Multi‐objective analysis is done to get rational variant using gained results of research. These researches are necessary to get to know about the condition of inside climate of a building.

Voice Stress Analyser System for E-testing

Three e-learning Master degree studies were introduced at Vilnius Gediminas Technical University in 1999. In order to increase the efficiency and quality of e-learning studies, Voice Stress Analyser Intelligent System for e-Testing (VSA-IST VSA-IST) was also developed. The aim of this paper is to report on the contribution of new integrated technologies (Voice Stress analysis and decision support systems) to e-Testing Systems. The article briefly describes the use of these integrated newest technologies in e-Testing. The authors of the article have developed a voice stress database, which contains students’ answers that are given during an Testing, and a specific algorithm, which is the core of the VSA-IST and which can evaluate a student’s knowledge by giving a precise mark after a psychological test, which is performed prior to the Testing. In order to demonstrate the validity, efficiency and usefulness of the developed VSA-IST, the article also presents a case study.