Αντικείμενο της παρούσας Διπλωματικής εργασίας είναι η σχεδίαση και ανάπτυξη εργαλείου εξόρυξης γνώσης για τη συναισθηματική κατάσταση χρηστών από δεδομένα συσκευής Eye tracking, όπως επίσης και η μελέτη της μεταβολής γνωσιακού φορτίου χρηστών με τη βοήθεια πειραματικής διαδικασίας. Στη Διπλωματική αυτή εργασία σχεδιάστηκε και αναπτύχθηκε μια εφαρμογή που εκτελεί την παραπάνω λειτουργία, και διεξήχθη ένα πείραμα με σκοπό να συσχετιστούν συγκεκριμένες μετρικές Eye tracking με τη συναισθηματική κατάσταση και το γνωσιακό φορτίο χρηστών. / Design and developpment of a data-mining tool, for the cognitive workload of users from the data of an eye-tracking device.

[pt] Os sistemas de realidade virtual requerem dispositivos de interação que não obstruam o caráter imersivo da aplicação. Com a difusão das câmeras digitais, a captura óptica do movimento do usuário se firmou como uma nova área de pesquisa. Este trabalho apresenta a integração de um dispositivo óptico para interação em uma ferramenta de desenvolvimento de aplicações em realidade virtual. O dispositivo óptico proposto é composto por uma esfera revestida de material retroreflexivo rastreada por quatro câmeras com sensores infravermelhos. O estudo engloba a implementação do dispositivo de rastreamento óptico e sua integração com a ferramenta ViRAL (Virtual Reality Abstraction Layer). / [en] Virtual reality systems require tracking devices that do not harm the application immersive sensation. With the spread of digital cameras, the optical tracking of users` movement has been firmed as a new area of research. This work presents the integration of an optical tracking device with a virtual reality application development library. The proposed optical device is composed of a sphere coated with retroreflexive material, which is tracked by four cameras with infrared sensors. The study contains the implementation of the tracking device and its integration with ViRAL (Virtual Reality Abstraction Layer) tool.

This thesis investigates the impact of data physicalizations in the form of an exercise data tracker, on user motivation compared to traditional exercise tracking devices (ETDs) to and their effect on exercise motivation. By employing a case study with diverse participants, this research evaluates whether the three-dimensional nature of data physicalizations significantly influences user motivation or if similar results can be obtained using traditional solutions or devices. Through a pre-interview Leisure-Time Exercise Questionnaire, qualitative interviews, and thematic analysis, six significant themes emerged, presence, emotional connection, data clarity, metric variety, aesthetics, and novelty. The results suggest that data physicalizations have the potential to motivate users, but are currently at a disadvantage compared to traditional ETDs due to limitations in data precision and variety. The study also highlighted the design challenges in developing effective data physicalizations. Future research should explore design features highlighted in this study that could potentially maximize motivation.

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This work deals with eye tracking systems and possibility of using them for control of many software or hardware devices. Project explains eye anatomy and electrophysiology, types of eye trackers and methods of eye tracking. We studied methods of image processing and image analyzing in LabVIEW development system and IMAQ Vision subsystem. On the base of these studies, we created whole eye tracking system .This system can be used for both the eye tracking from video recording and real time eye tracking. This system can monitor position or trajectory of look.

This thesis focuses on self-tracking, which mean monitoring and recording information about oneself using digital technologies and its use by runners in the Czech Republic. The main aim of this thesis is to describe the Czech running community through a detailed sociological analysis, and to answer a question: Why runners use self-tracking and how they benefit from it? The theoretical part firstly deals with the topic of self-tracking itself, then examines the uses and gratifications theory and the theory of online communities. The analytical part is devoted to description, analysis and interpretation of the results of the author's own survey, in which 844 runners of whom 754 practice self-tracking participated. Several hypotheses concerning sociodemographic structure, running characteristics, motivation, gratifications and safety were formulated. Five key motives (self-control, orientation to result, self-improvement, habit and social interaction) that lead runners to use self-tracking devices were identified through exploratory factor analysis. The motives vary based on gender and running characteristics (experience with running, runner's level, frequency of running, trainer) that also represent the main influencing factor for self-tracking in general. Self-tracking is closely related to sharing...