Visual Affective Stimulus Database: A Validated Set of Short Videos

Abstract

Two hundred and ninety-nine videos representing four categories (people, animals, objects, and scenes) were standardized using Adobe Premiere Pro CC 2018, with a unified duration of 3 s, a resolution of 1080 pixels/inch, and a size of 1920 × 1080 mm2. One-hundred and sixteen participants (mean age 22.60 ± 2.06 years; 51 males) assessed the videos by scoring, on a self-reported 9-point scale, three dimensions of emotion: valence, arousal, and dominance. The content was attributed a specific valence (positive, neutral, or negative) if more than 60% of the participants identified it with an emotion category. Results: In total, 242 short videos, including 112 positive videos, 47 neutral videos, and 83 negative videos, were retained in the video stimuli database. In the three-dimensional degree of emotion, the distribution relationship between them conformed to the fundamental characteristics of emotion. The internal consistency reliability coefficient for valence, arousal, and dominance was 0.968, 0.984, and 0.970. The internal consistency reliability of the emotional dimensions for people and faces, animals, objects, and scenes ranged between 0.799 and 0.968. Conclusions: The emotion short-video system contains multi-scene dynamic stimuli with good reliability and scoring distribution and is applicable in emotion and emotion-related research.

Construction of a Chinese traditional instrumental music dataset: A validated set of naturalistic affective music excerpts

“…In previous studies using Western music, conclusions about sex differences are somewhat controversial. For example, Guedes et al ( 2023 ) found that male participants provided higher “surprise” ratings than female participants; Paquette et al ( 2013 ) reported that male participants gave slightly higher “intensity” ratings; Li et al ( 2022 ) reported no sex difference in rating valence, arousal, and dominance; and Stevenson et al ( 2007 ) found that female participants gave higher ratings than male participants for all negative emotions. The discrepancy regarding sex differences remains to be addressed.…”

An Affective Video Database using Multimedia Content Analysis rated on Indian samples

“…Another Chinese dataset published recently contains 242 short videos, including 112 positive videos, 47 neutral videos, and 83 negative videos [18]. The duration of the videos was 3 seconds which seems to be very less to situational contextualize an emotion.…”

“…The datasets mentioned above are mostly dominated by western stimuli, which limits them to be used by researchers investigating the western population only. Although datasets from other cultures came out [16,19,18], no video stimuli dataset is available for the Indian subcontinent, which shares almost one-fifth of the world population.…”

AVDOS-VR: Affective Video Database with Physiological Signals and Continuous Ratings Collected Remotely in VR

“…and VR 9,10 . Several affective video databases of varying sizes, lengths and measures have been developed such as LIRIS-ACCEDE 11 , VASD 12 , DEVO 13 or CAAV 14 .…”