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Lecturer(s)
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Popelka Stanislav, doc. RNDr. Ph.D.
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Course content
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The course will cover the following topics: The importance of cognitive cartography Non-technological aspects of map design User evaluation of cartographic outputs Experimental design Methodological aspects of cognitive experiments in cartography Preparation, implementation, and evaluation of eye-tracking experiments (Tobii, GazePlotter) Statistical analysis of eye-tracking data, eye-tracking metrics The course will primarily focus on practical issues in designing cognitive experiments. It will include the preparation of experimental stimuli, experiment design, collection of eye-tracking data, as well as their analysis and visualization.
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Learning activities and teaching methods
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Monologic Lecture(Interpretation, Training), Group work
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Learning outcomes
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The course provides a comprehensive introduction to eye-tracking technology, focusing on the principles of eye-movement measurement, current eye-tracking devices, and their practical applications. Particular attention is paid to the main types of eye trackers, their technical parameters, calibration, accuracy and data quality, as well as methods for recording and processing eye-movement data. Students become familiar with modern equipment, including remote eye trackers, mobile eye-tracking glasses, and other emerging technologies for gaze tracking in interactive and spatial environments. The course also covers the fundamentals of eye-tracking experiment design, work with specialised software, data preparation, and basic data analysis and visualisation. The presented concepts provide the technological and methodological foundation for practical exercises and a semester project, during which students gain hands-on experience with the preparation, execution, and evaluation of their own eye-tracking study.
The student will acquire the knowledge and practical skills required to design, conduct, and evaluate eye-tracking research. They will become familiar with the fundamental theoretical, technological, and methodological principles of eye tracking, different types of eye-tracking devices and gaze-recording approaches, and methods for assessing data quality. The acquired knowledge will be applied in practical tasks involving experiment preparation, calibration and data collection, data processing, and basic analysis and interpretation.
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Prerequisites
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Basic knowledge of computer use and digital technologies. Basic familiarity with experimental research, data processing, or visualisation is an advantage.
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Assessment methods and criteria
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Written exam
The basic requirements include familiarity with the fundamental principles of eye tracking and the ability to work independently on assigned tasks using the acquired theoretical and practical knowledge. Active participation in practical exercises and the ability to prepare, conduct, and perform a basic evaluation of an eye-tracking measurement are also required.
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Recommended literature
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Diederick C. Niehorster et al. The fundamentals of eye tracking - all parts. 2026.
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Popelka Stanislav. Eye-tracking (nejen) v kognitivní kartografii. Olomouc.
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