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.
|Titolo della pubblicazione ospite||Pervasive Computing Paradigms for Mental Health|
|Numero di pagine||9|
|Stato di pubblicazione||Pubblicato - 2018|