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  • Selection of a methodological approach to the study of the psychofunctional state of a person controlling a dynamic object

    The article is devoted to the analysis of methodological approaches to the definition and assessment of the psychofunctional state of a person. In connection with the need to improve the reliability of human-machine systems, the study of the psychofunctional state of a person controlling a dynamic object is of scientific interest, since to create reliable human-machine systems it is necessary to take into account the reliability factors of technical means and the human factor as well. The analysis of methodological approaches showed that to solve problems dedicated to increasing the reliability of "human-machine" systems, it is advisable to use a systems approach that considers a person not as an independent subject, but as an element of the system. The systems approach has a broad methodological base, allows us to study the psychofunctional state of a person in dynamics.

    Keywords: psychofunctional state, functional state, systems approach, energy approach, behavioral approach, phenomenological approach, structural-integrative approach, electrophysiological methods, control of a dynamic object

  • Analysis of oculography data using an adaptation of the velocity threshold identification algorithm to study the influence of black color of objects on visual attention prioritization

    The term "oculography" (eye tracking) describes a technological method used to record eye movements in real time. This technique allows researchers to analyze the focus of subjects' attention on various interface elements. Color is a powerful tool for attracting attention. Understanding which colors first attract attention allows marketers to correctly place accents on visual stimuli, such as advertising materials that feature clothing of different colors, in order to improve the experience of interaction of a potential consumer with this content. The purpose of this work is to determine the effect of the black color of clothing on the priority of human attention. To achieve this goal, experiments were conducted in which the gaze of subjects was tracked using a webcam while they studied an experimental image. The analysis of the final experimental data obtained using the adapted velocity threshold identification algorithm showed a high attention priority for the black color of clothing. In 87.5% of cases, attention was paid to it first, while the gender of the subject did not play a significant role in this perception. The obtained results can help in the development of research aimed at improving the efficiency of information perception.

    Keywords: oculography, velocity threshold identification algorithm, eye tracking technology, attention priority, region of interest, time to first fixation, advertising, clothing, color

  • Study of human attention distribution pattern using eye tracking technology

    Eye tracking (oculography) is a technology that allows recording the direction of human gaze on a visual stimulus. It’s application can provide researchers with valuable data on which elements of the environment are most attractive in various contexts, in areas such as marketing, psychology, etc. The aim of this work is to identify the pattern of human attention distribution on visual stimulus objects of different sizes using eye tracking technology. A webcam was used to record the subjects’ gaze movements while they were studying experimental images. The results of the experiments showed that larger objects in visual stimuli receive higher attention priority than smaller objects. This observation is true for both human-created works and images created by artificial intelligence (Kandinsky 3.1 is used in this study). The obtained results of the study will improve our understanding of how people perceive visual information, which can contribute to the creation of more effective approaches to interface development.

    Keywords: eye tracking technology, attention priority, region of interest, number of eye gaze registrations, artificial intelligence, Vincent Van Gogh