Statistical analysis of a controlled experiment of the effects of different sounds related to human emotions

Abstract

Considering that there are few studies in which technological tools are used to analyze the relationship between auditory stimuli and emotions, the development of an applied methodology was proposed. It allowed the categorization of auditory stimuli according to the emotional impact on the subjects, using statistical tools. An experiment was proposed using automated facial expression analysis to identify the emotional responses generated, having a total of 50 participants. The information obtained was processed through various statistical programs, including SSPS® and JMPTM. The statistical analysis was divided into 3 stages. The first one that sought to identify the moment where the emotional response appeared once the stimulus was presented. The second one looked for possible associations between emotions to establish patterns of similarity between them. And the third, which corresponded to the search for identification of the stimuli that could evoke specific emotions. Among the findings, the delay between the appearance of the emotional response and the start of the stimuli was determined. Also, the specific emotional response that each of the stimuli produced was determined.