Indian Journal of Science and Technology

Abstract

Objectives: The objective of this paper is to report on factor analysis of 60 emotional descriptors adopted from PANAS-X scale for video-watching experience. Methods/Statistical Analysis: Thirty-five university students took part in Kansei evaluation to rate their feelings after having watched 5 video clips as visual stimuli. Factor analysis executed on the data obtained from the evaluation in order to ascertain emotional descriptors that best represent video-watching experience. Findings: Significant emotional descriptors are successfully ascertained wherein 28 emotional descriptors are retained in 3 factors; rejection, acceptance and ambivalence - that affects video-watching experience the most. The remaining factors can be ignored as the proportion of variability explained is close to zero and they can be considered as insignificant. It is also evident from the result that emotional responses are unique and that assessing video-watching experience shall require sets of emotional descriptors that best describe the field. Application/Improvements: With this result, the academia and other stakeholders shall gain benefit in understanding emotional response pertaining to video-watching experience and how the content influence this response in general.
Keywords: Affective Video Content Analysis, Emotional Descriptors, Emotional Experience, Kansei Evaluation