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Game Development for Assessment of Human Memory, Attention and Reflexes
Petrovskyi, Denys ; Hussain, Yasir (referee) ; Malik, Aamir Saeed (advisor)
V této práci je podrobně popsán vývoj aplikace pro Android, která je určena k současnému hodnocení paměti, pozornosti a reflexů. Hlavním cílem bylo vytvořit interaktivní platformu, která uživatele nejen zapojí do kognitivních úkolů, ale také jim umožní sledovat jejich výkon v čase prostřednictvím statistické analýzy a grafů průběhu. Aplikace s využitím frameworku Flutter nabízí uživatelsky přívětivý a přehledný design a je integrována se službou Firebase pro efektivní správu uživatelských dat a ověřování. Projekt zahrnoval vývoj řady kognitivních modulů integrovaných do jediné hry, která se dynamicky přizpůsobuje výsledkům uživatele, čímž zajišťuje přesné hodnocení a zapojení uživatele. Uživatelské rozhraní bylo navrženo tak, aby bylo intuitivní a zajišťovalo snadné používání a přístupnost. Výsledky uživatelských testů ukazují, že aplikace úspěšně měří kognitivní schopnosti a poskytuje uživatelům cennou zpětnou vazbu, čímž podporuje neustálé zlepšování kognitivních schopností. Tato práce demonstruje potenciál herního hodnocení kognitivních schopností v mobilních aplikacích a přispívá k rozvoji oborů vzdělávacích technologií a kognitivní psychologie.
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Cognitive Game Battery: Assessing and Identifying Deficits in Memory, Attention, Problem-Solving, and Decision-Making Skills
Češka, Ondřej ; Malik, Aamir Saeed (referee) ; Hussain, Yasir (advisor)
Cílem této práce je neinvazivní posouzení vybraných kognitivních domén (pozornost, paměť, rozhodování) pomocí nové mobilní aplikace vyvinuté za tímto účelem. Posuzování kognitivních nedostatků je důležité pro prevenci neurokognitivních poruch. Byly analyzovány existující posuzovací úlohy a na jejich základě byla navržena a úspěšně implementována kognitivní herní baterii sestávající ze 3 mobilních her. Aplikace je určena pro platformu Android a byla vyvinuta v Unity engine. Byl vytvořen systém pro sběr a uchovávání herních dat a jejich následné zhodnocení za pomoci cloudové dostupnosti. Jeho spolehlivost byla posouzena na základě vlastního sběru dat a poznatků existujících studií. Vyvinutá aplikace přináší jiný pohled na posuzování kognitivních nedostatků, porovnává uživatelem dosažené skóre s ostatními hráči a poskytuje mu detailní zpětnou vazbu.
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Measurement of Reaction Time and Attention
Oravová, Pavlína ; Provazník, Ivo (referee) ; Sekora, Jiří (advisor)
The semesters thesis is focused on Measurement of Reaction Time and Attention. Part of this work is a definition of reaction time and factors influencing reaction time. Measuring reaction time in context of the theory of intelligence C-H-C is described together with this theory. There are included related tests, specifically Stroop test, Flanker test, Go/No-go test and N-back test. Next there is mentioned online problematics containing hardware and software delays and diagnostic and measuring of the network. The last part of the work is dedicated to a practical part.
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Emotional Cartography
Rygálová, Monika ; Pfeiffer, Jan (referee) ; Sterec, Pavel (advisor)
The work aims to artistically compile perception of maps as a fact, what let us think about The world - how we know it from the map. I work with data, which I gain by displaying technology – eye tracking, which helps me to record track of moving eyes during watching any kind of picture. The observations will be people from different places such a place of stay etc. Gained data I am going to use as a study, which I will componate to maps and different vizualizations of world, countries etc. "Where i have not ever been before, it does not exist" – is idea of percepting world, wich I also work with on that project. Study will contain all aspect of perceiving maps and systematicly shown world related to the person, his memories to that place, fyzical contact and his impact in his scale person versus a the world.
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Strategy to Decrease Rate of Procrastination While Using Methods Improving Awareness and Emotional Self-regulation
Gealfow, John Altair ; Schüller, David (referee) ; Konečný, Štěpán (advisor)
This diploma thesis is proposing and evaluating a strategy of human resource management in the field of productivity of intellectual workers and students while using insights from scientific research on procrastination and productivity. The suggested strategy implements especially two methods that were found effective for lowering the rate of procrastination in latest scientific studies – the method of awareness and mindfulness and the method of journaling. This diploma thesis includes design and creation of an educational program consisting of video lessons in the field of time-management, techniques of mindfulness and awareness and the method of journaling. Furthermore, it includes running research with a group of students during an exam period, while all participants record information on using the above mentioned methods for the period of 15 days, while the logged information has combined nature between objective information on performance (data on usage of personal computer, data on the amount of work done and time spent on it) and self-evaluation information (subjective evaluation of daily performance and subjective evaluation of perceived daily happiness). This thesis evaluates the suggested strategy on the research sample of 15 university students and is using the methods of input and output questionnaire, same as analysis of the continuous data logged while journaling from the research participants, to evaluate the effectiveness of the proposed strategy. The goal is to be able to apply this strategy in the business practice in human resource management. Another possible application is also improvement of study productivity of students using self-management techniques.
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Analysis of driver’s conduct during solving of situations associated with pedestrians crossing the road
Maxera, Pavel ; Kolíbal, Zdeněk (referee) ; Rábek, Vlastimil (referee) ; Kledus, Robert (advisor)
The doctoral thesis analyses driver’s conduct while solving situations associated with crossing of pedestrians across the road in cases of various design of pedestrian crossings and at different conditions. The thesis deepens the knowledge of the human factor impact on the occurrence of a traffic accident involved vehicle and pedestrian and thesis also complements knowledge for the needs of the analysis of traffic accidents, especially in solving the pre collision phase and at assessment of possibilities for collision prevention by involved participants. The thesis deals with driver’s conduct, various models of the conduct as well as the thesis focuses on the visual perception, the process of information processing, the driver’s conduct and the reaction time. In terms of the solution suitable types of experiments were designed and implemented. Based on performed measurements a method of processing and evaluating data on drivers’ conduct was found as well as more significant data set was obtained for a detailed analysis of drivers' conduct in different driving situations. The assessed quantities of drivers' conduct were analysed with respect to the dangerousness of driving situations. For these purposes, the categories of the dangerousness of driving situations were defined (situations completely safe, with increased danger, dangerous and critical), into which the analysed driving situations were subsequently included. To enable the quantification of this classification of situations into the categories of the dangerousness, the coefficient of the dangerousness (so called K) was defined. From the detailed analysis of the obtained data, the limit values of this coefficient were determined, and these were subsequently verified using data from the solution of real traffic accidents. Concurrently the analysis verified the suitability of using this hazard coefficient in the analysis of traffic accidents, especially for a detailed assessment of the possibilities of collision prevention.
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Data Analysis and Clasification from the Brain Activity Detector
Jileček, Jan ; Černocký, Jan (referee) ; Szőke, Igor (advisor)
This thesis aims to implement methods for recording EEG data obtained with the neural activity sensor OpenBCI Ultracortex IV headset. It also describes neurofeedback, methods of obtaining data from the motor cortex for further analysis and takes a look at the machine learning algorithms best suited for the presented problem. Multiple training and testing datasets are created, as well as a tool for recording the brain activity of a headset-wearing test subject, which is being visually presented with cognitive challenges on the screen in front of him. A neurofeedback demo app has been developed, presented and later used for calibration of new test subjects. Next part is data analysis, which aims to discriminate the left and right hand movement intention signatures in the brain motor cortex. Multiple classification methods are used and their utility reviewed.
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Checking of the Situation Behind the Vehicle
Perničková, Tereza ; Bucsuházy, Kateřina (referee) ; Belák, Michal (advisor)
This diploma thesis deals with the control of the situation behind the vehicle. The theoretical part of the thesis summarizes the knowledge about the transport system, the reaction time and the individual phases, including the factors influencing the reaction time and the possible methods of its measurement. Further, there are issues of vision from the vehicle and the rules of safe driving. Explanation is the eyetracking method, the types of these devices, and the methods of visualizing the data obtained from the records. In the analytical part are drawn from data recorded video. There are testing route, testing device, testing vehicle and information about testing drivers. The frequency and length of the individual components of the mirror views were evaluated depending on the selected mirror even without dependence from the data obtained.
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