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Abstract

In this article, we present a comprehensive measurement system to determine the level of user emotional arousal by the analysis of electrodermal activity (EDA). A number of EDA measurements were collected, while emotions were elicited using specially selected movie sequences. Data collected from 16 participants of the experiment, in conjunction with those from personal questionnaires, were used to determine a large number of 20 features of the EDA, to assess the emotional state of a user. Feature selection was performed using signal processing and analysis methods, while considering user declarations. The suitability of the designed system for detecting the level of emotional arousal was fully confirmed, throughout the number of experiments. The average classification accuracy for two classes of the least and the most stimulating movies varies within the range of 61‒72%.
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Abstract

Investigating human emotions empirically is still considered to be challenging, mostly due to the questionable validity of the results obtained when employing individual types of measures. Among the most frequently used methods to study emotional reactions are self-report, autonomic, neurophysiological, and behavioral measures. Importantly, previous studies on emotional responding have rarely triangulated the aforementioned research methods. In this paper we discuss main methodological considerations related to the use of physiological and self-report measures in emotion studies, based on our previous research on the processing of emotionally-laden narratives in the native and non-native language, where we employed the SUPIN S30 questionnaire as a self-report tool, and galvanic skin response (GSR) as a physiological measure (Jankowiak & Korpal, 2018). The findings revealed a more pronounced reaction to stimuli presented in the native relative to the non-native language, which was however reflected only in GSR patterns. The lack of correlation between GSR and SUPIN scores might have resulted from a number of methodological considerations, such as social desirability bias, sensitive questions, lack of emotional self-awareness, compromised ecological validity, and laboratory anxiety, all of which are thoroughly discussed in the article.
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