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Classifying human affective state using physiological and cognitive measures

Authors: Ren, Yi; Donaldson, David; Ales, Justin;

Classifying human affective state using physiological and cognitive measures

Abstract

Mood inductions are commonly used in cognitive studies to manipulate the emotional states participants. Various forms of mood induction exist, ranging from asking participants to recall specific emotional memories, reading emotional texts, listening to emotional music, to watching emotional videos. However, although mood inductions exist in various modalities, few studies have done a comprehensive comparison of the effectiveness of these induction methods and how they elicit behavioral and physiological responses in participants. However, these evaluations would be important for mood research, as different modes of mood induction have provided foundations to different emotional studies and may impact the conclusions drawn from these studies if modes significantly influence mood induction effectiveness. Hence the current study aims to establish a comparison of the effectiveness of mood inductions across modalities. To assess participants’ responses, we ask participants to report their emotional experience in three dimensions after each mood induction trial: valence (pleasantness of emotional experience), arousal-energy (how energetic they feel), and arousal-agitation (how agitated they feel). Multiple trials from four types of mood inductions are administered: video mood induction (watching an emotional movie clip), music mood induction (listening to emotional music), image mood induction (watching an emotional picture), and smell (experiencing an evocative smell). In addition to participants’ self-report of emotional experiences, we also collect their physiological responses, including EEG activity, heartrate variability, and facial expressions after each induction trial.

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