ИСТИНА

Interest is one of 10 positive emotions. It is inducing 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 parameters, such as reading speed. Ten (10) healthy subjects (5 males, 5 females, mean age 23.2, SE=1.2) participated in the study. All of them were students or PhD students. Subjective assessment of interest, text complexity and tiredness (fatigue) were obtained by Likert scales. Three-way interaction for subjective scales assessment was statistically significant (F(1,91)=13.63, p<0.05). The was a simple main effect of interest on the text complexity “disagree” level both for tiredness option “disagree” (F(1,91)=10.67, p<0.01) and tiredness option “strongly disagree” (F(1,91)=6.99, p<0.05). Whereas fixation durations depends on the used algorithms, reading speed provides a similar, but algorithms-independent and technically more reliable and comparable approach to estimate emotions' effect on eye-movements execution and subjects behavior. Reading speed obtained from the paragraphs could contribute to emotions detection along with eye-movement events analysis.