Research Article
A Process for Selecting and Validating Awe-Inducing Audio-Visual Stimuli
@INPROCEEDINGS{10.1007/978-3-319-74935-8_3, author={Alice Chirico and Pietro Cipresso and Giuseppe Riva and Andrea Gaggioli}, title={A Process for Selecting and Validating Awe-Inducing Audio-Visual Stimuli}, proceedings={Pervasive Computing Paradigms for Mental Health. Selected Papers from MindCare 2016, Fabulous 2016, and IIoT 2015}, proceedings_a={MINDCARE \& IIOT \& FABULOUS}, year={2018}, month={3}, keywords={Awe Wellbeing Mood-induction Emotions Bayesian}, doi={10.1007/978-3-319-74935-8_3} }
- Alice Chirico
Pietro Cipresso
Giuseppe Riva
Andrea Gaggioli
Year: 2018
A Process for Selecting and Validating Awe-Inducing Audio-Visual Stimuli
MINDCARE & IIOT & FABULOUS
Springer
DOI: 10.1007/978-3-319-74935-8_3
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.