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Krzysztof Krejtz

Researcher at University of Social Sciences and Humanities

Publications -  70
Citations -  1107

Krzysztof Krejtz is an academic researcher from University of Social Sciences and Humanities. The author has contributed to research in topics: Eye tracking & Gaze. The author has an hindex of 15, co-authored 54 publications receiving 738 citations.

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Journal ArticleDOI

Eye tracking cognitive load using pupil diameter and microsaccades with fixed gaze

TL;DR: Inter-trial change in pupil diameter and microsaccade magnitude appear to adequately discriminate task difficulty, and hence cognitive load, if the implied causality can be assumed and the reliability and sensitivity of task-evoked pupillary andmicrosaccadic measures of cognitive load are compared.
Proceedings ArticleDOI

The Index of Pupillary Activity: Measuring Cognitive Load vis-à-vis Task Difficulty with Pupil Oscillation

TL;DR: A novel eye-tracked measure of the frequency of pupil diameter oscillation is proposed for capturing what is thought to be an indicator of cognitive load and is shown to discriminate task difficulty vis-a-vis cognitive load in an experiment.
Journal ArticleDOI

Gaze Transition Entropy

TL;DR: A two-step method of quantifying eye movement transitions between areas of interest (AOIs), where individuals' gaze switching patterns, represented by fixated AOI sequences, are modeled as Markov chains, to determine the overall distribution of attention over AOIs.
Journal ArticleDOI

Discerning Ambient/Focal Attention with Coefficient K

TL;DR: The coefficient K, defined on a novel parametric scale, derived from processing a traditionally eye-tracked time course of eye movements, is introduced and quantitatively depicts the difference in scanning behaviors when attention is guided by audio description during perception of art.
Proceedings ArticleDOI

Entropy-based statistical analysis of eye movement transitions

TL;DR: A two-step method of quantifying eye movement transitions between Areas of Interests (AOIs) is introduced, where individuals' gaze switching patterns, represented by fixated AOI sequences, are modeled as Markov chains.