Environmental risks to humans, the first database of valence and arousal ratings for images of natural hazards

Abstract

Due to their relevance for the entire society, environmental hazards have largely been investigated in terms of their psychological effects. However, a complete image database comprising different categories of catastrophes has not been proposed yet. We selected 200 photographs of the most frequent natural disasters with the aim to collect the emotional reactions of observers. In particular, 20 stimuli were selected for each of the following 10 categories: earthquake, volcanic activity, lightning, hailstorm, drought, fire, landslide, epidemic, and neutral and positive images as control categories. A sample of 605 participants completed an online survey, in which they were asked to rate either the valence or the arousal of each stimulus, by using a Self-Assessment Manikin. The Environmental Risk to Humans database associates the emotional reactions to these visual stimuli, together with the demographics of the sample (e.g., gender, age, marital status, income, previous experience of natural disasters). The database constitutes a tool to explore human reactions to natural hazards, providing a controlled set of stimuli for different types of catastrophes.

On reliability of annotations in contextual emotion imagery

“…This will lead to the development of a CNN architecture for recognizing emotions in context more robustly. Such emotion classification could lead to useful applications for humans, such as security 35 , education, human-robot interaction, psychological health assessment 36 , affective anomalies discovery and extreme behaviors prevention 37 . Furthermore, it is of our interest to test our newly annotated dataset on state-of-the-art emotion recognition models 14 , 23 , 24 .…”

Transformaciones progresivas de la competencia socio-afectiva escrita en estudiantes de educación para la primera infancia

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The Power of Fear: Exploring the Neural Responses to Horror Scenes in Different Audiovisual Modes

“…The emotional assessment in this study uses PAD emotional state model [33], which includes three dimensions: valence, arousal, and dominance. We used 1-to-9 Self-Assessment Manikin (SAM) [42] to collect feedback from participants. We also used an extra question to quantify the performance of the horror stimuli (fear level): How fearful do you feel after experiencing the content (from 1 (low) to 9 (high))?…”