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Интеллектуальная Система Тематического Исследования НАукометрических данных |
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Interest is a positive emotion, that is induced toward novel stimuli and plays an important role in learning and motivation. The aim of this study was to detect an interest using algorithms-independent eye-movement parameter, i.e., reading speed. Ten healthy subjects took part in the study. Subjective assessment of interest, text complexity and tiredness were obtained by Likert scales. As a result, there was statistically significant three-way interaction for subjective assessments with a simple main effect of interest on the text complexity and tiredness. Reading speed patterns statistically depend mostly on complexity assessment that does not correlate with objective text complexity estimation. Interest assessment influenced reading speed for somehow complex texts, but not for the texts assessed as easy. Whereas fixation duration measurement highly depends on the used algorithms, reading speed provides a similar, but more comparable and reliable from a technical perspective algorithms-independent approach to estimate reading behavior. Reading speed obtained from the short text fragments could contribute to emotion detection along with eye-movement events analysis.