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The Municipal Library of Frýdek-Místek
Pešková, Klára ; Šindlar, Jiljí (referee) ; Marek, Jiří (advisor)
Bachelor thesis focuses on creating an architectural study of the municipal library for Frýdek-Místek - the developing city with potential for the future. The proposed building should not only serve as a place for books storage, but primarily as a place for interaction of locals dwellers and visitors. The architectural study offers a view of a simple open arrangement using light and the appropriate building materials, as well as the latest library technology of the 21st century.
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A town-hall in Kopřivnice
Pešková, Klára ; Zdvomka, Ondřej (referee) ; Marek, Jiří (advisor)
Objective of the Master thesis is a design of an adaptation and an activation of townhall building situated in the centre of Kopřivnice town. Location of the project is a site of trapezoidal shape slightly tilted towards railways on Štefánikova street. The design aspires to create a sufficient working space for townhall employees and at the same time to produce a space suitable for living, work and activities sought-after by a younger generation especially. Design of the multifunctional house offers start-up and communal housing (so called co-living) of 1+kk to 4+kk dispositions and a coworking space. The townhall’s layout is designed according to current trends in public administration with emphasis on openness, hospitability and consideration to citizens. Multi-purpose hall, completing the entire design, is above all supposed to serve as citizen assembly tool. Parking is provided by a current parking lot and a parking house. Design of the spatial layout creates static composition of buildings, which completes the distinctive townhall construction.
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Representation of Gay and Bisexual Women in Video Games and Players' Attitudes: An Empirical Study
Petrova, Alexandra ; Kolek, Lukáš (advisor) ; Pešková, Klára (referee)
The aim of this empirical study was to examine how players' explicit and implicit attitudes towards content depicted in a video game influence their interaction with the game and their game experience. In order to do so, this study examined a particular case of a video game representing gay and bisexual women. The primary aim was to investigate how players' game engagement is influenced by the topic portrayed and by their attitudes towards gay and bisexual women. The secondary aim was to explore the players' implicit and explicit attitude change towards gay and bisexual women as a result of playing the game. This study used an experimental and a control condition, with two versions of one game differing only in the identity of one character - in the experimental version she is a lesbian and in the control version a heterosexual woman. The modification of the game was a part of the thesis. Participants' implicit and explicit pretest and posttest attitudes were measured, and their game engagement was measured in the posttest. Results showed lower game engagement in the experimental compared to the control group, however, no link between initial attitudes and game engagement was found. There was no significant explicit or implicit attitude change. This study brings new data to the areas of game research...
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A model inspection/visualization tool for brain simulation framework.
Ježek, Filip ; Antolík, Ján (advisor) ; Pešková, Klára (referee)
Simulations of biological neural networks are an important tool for under- standing how the brain processes information. Mozaik is a workflow frame- work that allows such simulations to be created, run and analyzed. Currently, however, there is no easy way to visualize in it either the network or the data structures created by individual analyses. This work is a web application that allows users to visualize networks and data structures stored in data- stores for individual simulations. The given visualizations can be searched using complex queries, interactively examined and compared with each other. This makes the work of researchers working with the Mozaik framework much more efficient.
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Procedural Generator of Short Detective-like Stories
Iudin, Denis ; Gemrot, Jakub (advisor) ; Pešková, Klára (referee)
Procedural generation of interactive stories is still an understudied area, most of the work on which is purely academic, while the application of these technologies in a practical, for a wide audience, area promises good prospects. The reason lies in a large set of factors that complicate the practical use of such systems. In this work, we solve some of them by proposing a new algorithm for this, with the help of which we create a system that generates interactive stories. We visualize the narratives of these stories, and on their basis we create a text quest on the Twine platform.
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EdLab - web application for management of online courses
Valentová, Michaela ; Ježek, Pavel (advisor) ; Pešková, Klára (referee)
The field of education is rapidly evolving, with distance learning becoming an incre- asingly popular method of teaching. With the advent of technology, teachers are seeking effective ways to educate their students even without physical presence. In this bachelor's thesis, we are developing a web application that will allow teachers to create their own online educational courses. The proposed web application will provide teachers with a user-friendly interface for creating and customizing courses according to their specific needs and preferences. Tea- chers will be able to easily design course content, divide the course into chapters, incor- porate interactive components, and much more. The application will create an interactive learning environment for both students and the wider public involved in the course "AI v kontextu", which is the focus of this project. The flexibility of the application will allow students to choose when and where they participate in the course, while the pace of acquiring knowledge will adapt to their individual learning speed. The attractiveness of studying is enhanced by the ability to engage in shared activities such as polling, verifying acquired knowledge, and receiving feedback through knowledge quizzes. The application is developed using the React framework and utilizes...
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Procedural Generator of Short Detective-like Stories
Iudin, Denis ; Gemrot, Jakub (advisor) ; Pešková, Klára (referee)
Procedural generation of interactive stories is still an understudied area, most of the work on which is purely academic, while the application of these technologies in a practical, for a wide audience, area promises good prospects. The reason lies in a large set of factors that complicate the practical use of such systems. In this work, we solve some of them by proposing a new algorithm for this, with the help of which we create a system that generates interactive stories. We visualize the narratives of these stories, and on their basis we create a text quest on the Twine platform.
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An Interactive Game for Child Psychotherapy
Hořký, Vladimír ; Pešková, Klára (advisor) ; Holan, Tomáš (referee)
Play is a natural way for children to communicate, and traditional games and toys are commonly used in child psychotherapy. Despite the increasing popularity of computer games among children, their use in child psychotherapy is not yet widespread. This thesis focuses on the development of a computer game to aid psychotherapists working with children aged approximately five to ten years. The game features Octopus as the main character, and children under the supervision of their therapist can experience four different adventures, including avoiding obstacles in the sea, balancing on seaweed, dressing up, and riding out a storm. The game is designed to prompt discussions with the therapist. The development of the game was iterative, with collaboration from a child psychologist and a graphic artist. Three child psychologists tested the game in practice with approximately twenty children and found it to be a useful therapeutic tool. 1
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Football Player Performance Prediction
Kellich, Adam ; Pilát, Martin (advisor) ; Pešková, Klára (referee)
This thesis focuses on the development of tools to improve the experience of play- ing the online fantasy football game Sorare. In Sorare, players buy collectible cards that represent real footballers and compete against other players, with success depending on the actual performance of the footballers in real matches. Our work aims to address two main problems that players face in the game. First, we attempt to accurately predict a soccer player's score in an upcoming match based on data available before the match. Second, we seek to identify players undervalued by the market, which represent potential investment opportunities. We describe the whole process of machine learning from data acquisition, data processing, designing appropriate algorithms, training models to eva- luation. In both cases, the proposed algorithms have demonstrated usefulness compared to simple average-based predictions. 1
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