Affective film dataset from India (AFDI): creation and validation with an Indian sample

Abstract

We describe the creation of an affective film dataset for researchers interested in studying a spectrum of emotional experiences. We followed a two stage process. In the first stage, two hundred twenty-two video clips with 60-seconds long duration were rated in the lab by 407 participants. Based on the selection criteria, 69 audio-visual clips were selected for the second stage. These selected affective clips are then presented to 271 participants. Participants rated these clips on rating scales and categorized them into emotion categories. We clustered these emotional ratings into six categories, calculated the probability of eliciting emotion categories for each stimulus and compared the probability results with datasets created with the Western population. Given that part of the dataset consisting of videos from the west have been rated earlier, we compared ratings by Indian and Western participants on that subset. Even with some differences in methodology and analyses, we did 1 AFDI 2 AFDI not observe significant differences in ratings of different scales. Interestingly, the ratings to Indian stimuli by Indian participants tended to be significantly higher in arousal, dominance and familiarity than the ratings to western stimuli by Indian participants. The dataset we have created comprises film clips based on Indian and western content, making it flexible for use in Indian or western cultures. We hope that this dataset emotion researchers with a more diverse set of emotional movie clips accompanied by emotional ratings and other quantitative measures.