A Process for Selecting and Validating Awe-Inducing Audio-Visual Stimuli

Alice Chirico*, Pietro Cipresso, Giuseppe Riva, Andrea Gaggioli

*Corresponding author

Research output: Chapter in Book/Report/Conference proceedingChapter

3 Citations (Scopus)

Abstract

Awe is a complex emotion that influences positively individuals’ wellbeing both at a physical and at a psychological level. Eliciting awe in a lab setting is a delicate task, and several effective techniques have been developed to pursue this goal, such as audio-video stimuli. Nevertheless, a standardized procedure to select these audio-video awe-inducing stimuli is still needed. Therefore, we validated a methodology to select and discriminate among awe- inducing stimuli. The novelty of the methodology is two-fold: (i) it allows testing whether each content elicited the target emotion, and (ii) it allows to identify the most awe-conductive videos, using both classical statistics and Bayesian analyses. Four videos displaying awe, amusement and neutral contents were shown to participants in a counterbalanced order. This procedure allowed for identifying and validating awe-inducing stimuli that can be pliably used to improve individual’s wellbeing and mental health in different contexts.
Original languageEnglish
Title of host publicationPervasive Computing Paradigms for Mental Health
Pages19-27
Number of pages9
Volume2018
DOIs
Publication statusPublished - 2018

Keywords

  • Awe
  • Bayesian
  • Emotions
  • Mood-induction
  • Wellbeing

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