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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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Metrics for eye movements comparisons
Kocián, Matěj ; Děchtěrenko, Filip (advisor) ; Vodrážka, Jindřich (referee)
Measurement of eye movements is becoming a well established part of expe- rimental research in many areas (such as human-computer interaction, cognitive psychology and others). Then usually a need arises to mutually compare the eye movements. Many different metrics have been suggested for this purpose, but what is missing is a comparison of these metrics and consequently an agreement on the ones that should be used in specific cases. In this thesis we describe some commonly used metrics and then create a model of smooth pursuit eye move- ments. We subsequently use this model to compare the ability of Levenshtein metric, Normalized Scanpath Saliency for dynamic scenes and discrete Fréchet distance to recognise similarity between the original eye movement trajectory and its modified copy. 1
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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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EFFECTIVE READING AND ITS REFLECTION IN E-BOOK READERS
Krejčí, Jana ; Papík, Richard (advisor) ; Pokorný, Jan (referee)
The objective of this thesis is to clarify the term efective reading and what belongs to this topic, also to explore how the meaning of this term changes in the field of the electronic documents. This work also examines the reader's options of working with text and his view in this matter. Eye movements are analysed in first chapter. The term efective reading and its related concepts are analysed in chapter two. Third chapter is dealing with efective screen reading and characteristics of electronic texts. The possibilities of user work with texts on e- book readers and software e-book readers are examined in fourth chapter. Fifth chapter assesses online e-book readers. Questionnaire survey concerning reading of electronic documents is evaluated in chapter six. Seventh chapter is dealing with properties of PDF format and its appraisal.
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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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Effective reading of classical and digital documents
Krejčí, Jana ; Papík, Richard (advisor) ; Němečková, Lenka (referee)
The objective of this thesis is to clarify the term efective reading and what belongs to this topic, also to explore how the meaning of this term changes in the field of the electronic documents. This work also examines the reader's options of working with text and his view in this matter. Eye movements are analysed in first chapter. The term efective reading and its related concepts are analysed in chapter two. Third chapter is dealing with efective screen reading and characteristics of electronic texts. The possibilities of user work with texts on e- book readers and software e-book readers are examined in fourth chapter. Fifth chapter assesses online e-book readers. Questionnaire survey concerning reading of electronic documents is evaluated in chapter six.
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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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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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Eye movements in information acquisition – methodological view
Lukavský, Jiří
Most information, which we use in our lives, was first acquired by vision. The vision is not a passive receptor simply registering the pieces of information in the environment, but it also involves a selection mechanism. We can investigate this process with eye trackers and estimate, which pieces of information the subject knew and which attracted him. This report introduces these methods and their possibilities in cognitive psychology.
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