A Software to Detect OCC Emotion, Big-Five Personality and Hofstede Cultural Dimensions of Pedestrians from Video Sequences

Abstract

This paper presents a video analysis application to detect personality, emotion and cultural aspects from pedestrians in video sequences, along with a visualizer of features. The proposed model considers a series of characteristics of the pedestrians and the crowd, such as number and size of groups, distances, speeds, among others, and performs the mapping of these characteristics in personalities, emotions and cultural aspects, considering the Cultural Dimensions of Hofstede (HCD), the Big-Five Personality Model (OCEAN) and the OCC Emotional Model. The main hypothesis is that there is a relationship between so-called intrinsic human variables (such as emotion) and the way people behave in space and time. The software was tested in a set of videos from different countries and results seem promising in order to identify these three different levels of psychological traits in the filmed sequences. In addition, the data of the people present in the videos can be seen in a crowd viewer.

Identifying Big Five personality traits based on facial behavior analysis

“…Personality assessment has a variety of applications in different fields. Researchers have undertaken a substantial amount of studies on personality, and these studies have covered a variety of areas, such as the relationship with emotional expression identification (1); personality, affective and cultural aspects (2); healthy behavioral patterns prediction of depression and anxiety (3); prediction of leader performance (4); prediction of compulsive shopping (5); sales prediction of performance (6); achievement motivation (7); and the prediction of political attitudes (8). In addition, it has also been used in a variety of industries such as tourism (9), medicine (10), education (11), and finance (12).…”