M. Vasiljevas “Human-assistive interface model of physiological computing systems” doctoral dissertation defence

Author, Institution: Mindaugas Vasiljevas, Kaunas University of Technology

Science area, field of science: Technological Sciences, Informatics Engineering, T007

Scientific Supervisor: Prof. Dr. Robertas Damaševičius (Kaunas University of Technology, Technological sciences, Informatics engineering, T 007).

Dissertation Defence Board of Informatics Engineering Science Field:
Prof. Dr. Rimvydas Simutis (Kaunas University of Technology, Technological sciences, Informatics engineering, T 007) – chairman,
Assoc. Prof. Dr. Nikolaj Goranin (Vilnius Gediminas Technical University, Technological sciences, Informatics engineering, T 007),
Dr. Edyta Hetmaniok (Silesian University of Technology, Poland, Natural Sciences, Informatics, N 009),
Prof. dr. Olga Kurasova (Vilnius University, Technological sciences, Informatics engineering, T 007),
Prof. Dr. Vaidotas Marozas (Kaunas University of Technology, Technological sciences, Electrical and electronics engineering, T 001).

The doctoral dissertation is available at libraries of Kaunas University of Technology (Donelaičio 20, Kaunas) and Vilnius Gediminas Technical University (Saulėtekio al. 14, Vilnius).

Annotation:

The PhD thesis analyses problems related with usability of human – computer interfaces based on physiological computing. The human – computer interfaces based on physiological computing are controlled by physiological signals that a human generates. These physiological signals can be distorted by various physiological states (e.g. fatigue, emotions etc.) of the human, which are changing over time. Hence, the performance of using this kind of interfaces may decrease. The adaptive human – computer interface is one of the methods to solve the problem.
The model of the adaptive human – computer interface based on physiological computing, called human-assistive HCI model, is described in this work. This conceptual model describes the means of control of the specific human – computer interface as well as feedback, which is initiated by the system after the initial user state changes.
The proposed model has been applied to develop 3 different systems: (1) gaze spelling system, (2) eye-controlled game and (3) EMG-based speller. Each of the aforementioned systems can react to the change of user performance, which usually decreases, when fatigue emerges. The implementation of 3 different systems based on human-assistive HCI model demonstrates the versatility of the model, also validates it. Moreover, the quantitative research of implemented human – computer interfaces is presented in this dissertation.