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Electrooculography for marketing
Fajmon, František ; Ronzhina, Marina (referee) ; Janoušek, Oto (advisor)
This thesis deals with EOG analysis and evaluation for marketing studies. Basic anatomy a physiology of the eye is discussed. Practical part is deal optimal method for trajectory vizualization. In this work description of algorithm are shown. This algorithm is realized in Matlab workspace. In this work is included an evaluation of the content analysis of graphical outputs, generated from EOG measured.
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Three-dimensional kinematics of eye movements
Stodola, Marek ; Velan, Petr (referee) ; Hrdina, Jaroslav (advisor)
The goal of this thesis is to describe eye movements and general eye position using apparatus of geometric algebra. The introduction covers the theory about the appropriate geometric algebra, followed by the classifications of the eye movements and the terms used to describe these movements. Following this, the calculations that describe eye position derived from a single observed point are listed, for distant and close points. In addition, the possible eye movements in respect to the axis in which an eye can rotate is described, for any general position. All the calculations are based on Donders' law and Listing's law.
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Modelling eye movements during Multiple Object Tracking
Děchtěrenko, Filip ; Lukavský, Jiří (advisor) ; Toth, Peter Gabriel (referee)
In everyday situations people have to track several objects at once (e.g. driving or collective sports). Multiple object tracking paradigm (MOT) plausibly simulate tracking several targets in laboratory conditions. When we track targets in tasks with many other objects in scene, it becomes difficult to discriminate objects in periphery (crowding). Although tracking could be done only using attention, it is interesting question how humans plan their eye movements during tracking. In our study, we conducted a MOT experiment in which we presented participants repeatedly several trials with varied number of distractors, we recorded eye movements and we measured consistency of eye movements using Normalized scanpath saliency (NSS) metric. We created several analytical strategies employing crowding avoidance and compared them with eye data. Beside analytical models, we trained neural networks to predict eye movements in MOT trial. The performance of the proposed models and neuron networks was evaluated in a new MOT experiment. The analytical models explained variability of eye movements well (results comparable to intraindividual noise in the data); predictions based on neural networks were less successful.
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Comparison of scan patterns in dynamic tasks
Děchtěrenko, Filip ; Lukavský, Jiří (advisor) ; Nyström, Marcus (referee) ; Paluš, Milan (referee)
Eye tracking is commonly used in many scientific fields (experimental psychology, neuroscience, behavioral economics, etc.) and can provide us with rigorous data about current allocation of attention. Due to the complexity of data processing and missing methodology, experimental designs are often limited to static stimuli; eye tracking data is analyzed only with respect to basic types of eye movements - fixation and saccades. In dynamic tasks (e.g. with dynamic stimuli, such as showing movies or Multiple Object Tracking task), another type of eye movement is commonly present: smooth pursuit. Importantly, eye tracking data from dynamic tasks is often represented as raw data samples. It requires a different approach to analyze the data, and there are a lot of methodological gaps in analytical tools. This thesis is divided into three parts. In the first part, we gave an overview of current methods for analyzing scan patterns, followed by four simulations, in which we systematically distort scan patterns and measure the similarity using several commonly used metrics. In the second part, we presented the current approaches to statistical testing of differences between groups of scan patterns. We present two novel strategies for analyzing statistically significant differences between groups of scan patterns and...
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Bayesian models of eye movements
Lux, Erik ; Děchtěrenko, Filip (advisor) ; Toth, Peter Gabriel (referee)
Attention allows us to monitor objects or regions of visual space and extract information from them to use for report or storage. Classical theories of attention assumed a single focus of selection but many everyday activities, such as playing video games, suggest otherwise. Nonetheless, the underlying mechanism which can explain the ability to divide attention has not been well established. Numerous attempts have been made in order to clarify divided attention, including analytical strategies as well as methods working with visual phenomena, even more sophisticated predictors incorporating information about past selection decisions. Virtually all the attempts approach this problem by constructing a simplified model of attention. In this study, we develop a version of the existing Bayesian framework to propose such models, and evaluate their ability to generate eye movement trajectories. For the comparison of models, we use the eye movement trajectories generated by several analytical strategies. We measure the...
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Bayesian models of eye movements
Lux, Erik ; Děchtěrenko, Filip (advisor) ; Toth, Peter Gabriel (referee)
Attention allows us to monitor objects or regions of visual space and extract information from them to use for report or storage. Classical theories of attention assumed a single focus of selection but many everyday activities, such as playing video games, suggest otherwise. Nonetheless, the underlying mechanism which can explain the ability to divide attention has not been well established. Numerous attempts have been made in order to clarify divided attention, including analytical strategies as well as methods working with visual phenomena, even more sophisticated predictors incorporating information about past selection decisions. Virtually all the attempts approach this problem by constructing a simplified model of attention. In this study, we develop a version of the existing Bayesian framework to propose such models, and evaluate their ability to generate eye movement trajectories. For the comparison of models, we use the eye movement trajectories generated by several analytical strategies. We measure the similarity between...
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Pathophysiology and clinical aspects of eye movements in basal ganglia disorders.
Hanuška, Jaromír ; Růžička, Evžen (advisor) ; Vymazal, Josef (referee) ; Jeřábek, Jaroslav (referee)
This dissertation is a collection of a total of seven publications that deal with eye movement disorders in patients with basal ganglia disorders. We obtained normative data for videooculography in healthy individuals. We have described the eye movement evolution during a human life such as the increase of latency, movements become hypometric and antisaccadic error rate increases. We have shown that sex and education do not affect the eye movements. Our study highlighted the asymmetry in the eye movement performance. As the first, we studied the vergence in patients with Parkinson's disease (PN) using videooculography (VOG). We devised and defined a paradigm for this examination and saw that in patients with PN there is a prolonged latency and hypometry of divergence. In patients with ephedrone induced parkinsonism (EP), we were the first who examined eye movements and found that it was possible to identify between this toxic Parkinson's syndrome and PN on the basis of a videooculography. In EP patients, we described velocity decsrease and hypometry in horizontal saccades, prolonged latency in horizontal saccades, and higher error rate in the antisacadic task. Behavioral disorder in REM sleep (RBD) as a prodromal stage of PN leads to impaired eye movement. In the evaluation with PN patients, we...
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The influence of exercise on subjective perception of our own body in participants of the Feldenkrais method course
Havlíková, Karolína ; Vařeková, Jitka (advisor) ; Prajerová, Květa (referee)
Title of the thesis: The influence of exercise on subjective perception of our own body in participants of the Feldenkrais method course Aims of the thesis: The aim of this thesis was to deepen the theoretical knowledge of the Feldenkrais method, the basic anatomy of the cervical spine and the construction of the eye. Furthermore, the aim was to clarify the connection of eye movements and cervical spine, and define cervicoocular reflex, vestibuloocular reflex and whiplash syndrome. Then apply this knowledge and explain how one lesson of the Feldenkrais method affects the subjective perception of our own body, and how it can affect the magnitude of the cervical spine ranges. Method: It is a quantitative, experimental research. In the first part of the research, the questionnaire of own design monitored the effect of one lesson of the Feldenkrais method on the subjective perception of our own body in a group of 56 people aged 24 to 79 years, the lesson took part during a three-day course. In the second part of the research, the effect of one Feldenkrais method focused on the movement of eyes and cervical spine was studied in a group of 20 people aged 19 to 27 years. Data to this section was obtained based on input and output measurements using a measuring tape and a goniometer. In addition, a...
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Comparison of scan patterns in dynamic tasks
Děchtěrenko, Filip ; Lukavský, Jiří (advisor) ; Nyström, Marcus (referee) ; Paluš, Milan (referee)
Eye tracking is commonly used in many scientific fields (experimental psychology, neuroscience, behavioral economics, etc.) and can provide us with rigorous data about current allocation of attention. Due to the complexity of data processing and missing methodology, experimental designs are often limited to static stimuli; eye tracking data is analyzed only with respect to basic types of eye movements - fixation and saccades. In dynamic tasks (e.g. with dynamic stimuli, such as showing movies or Multiple Object Tracking task), another type of eye movement is commonly present: smooth pursuit. Importantly, eye tracking data from dynamic tasks is often represented as raw data samples. It requires a different approach to analyze the data, and there are a lot of methodological gaps in analytical tools. This thesis is divided into three parts. In the first part, we gave an overview of current methods for analyzing scan patterns, followed by four simulations, in which we systematically distort scan patterns and measure the similarity using several commonly used metrics. In the second part, we presented the current approaches to statistical testing of differences between groups of scan patterns. We present two novel strategies for analyzing statistically significant differences between groups of scan patterns and...
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