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.
Chirico, A., Cipresso, P., Riva, G., Gaggioli, A., A Process for Selecting and Validating Awe-Inducing Audio-Visual Stimuli, Pervasive Computing Paradigms for Mental Health, Pietro Cipresso; Silvia Serino, Heildelberg 2018 2018: 19-27. 10.1007/978-3-319-74935-8_3 [http://hdl.handle.net/10807/121978]
A Process for Selecting and Validating Awe-Inducing Audio-Visual Stimuli
Chirico, Alice
Primo
;Cipresso, PietroSecondo
;Riva, GiuseppePenultimo
;Gaggioli, AndreaUltimo
2018
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.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.