2 research outputs found
How much do you perceive this? An analysis on perceptions of geometric features, personalities and emotions in virtual humans (Extended Version)
This work aims to evaluate people's perception regarding geometric features,
personalities and emotions characteristics in virtual humans. For this, we use
as a basis, a dataset containing the tracking files of pedestrians captured
from spontaneous videos and visualized them as identical virtual humans. The
goal is to focus on their behavior and not being distracted by other features.
In addition to tracking files containing their positions, the dataset also
contains pedestrian emotions and personalities detected using Computer Vision
and Pattern Recognition techniques. We proceed with our analysis in order to
answer the question if subjects can perceive geometric features as
distances/speeds as well as emotions and personalities in video sequences when
pedestrians are represented by virtual humans. Regarding the participants, an
amount of 73 people volunteered for the experiment. The analysis was divided in
two parts: i) evaluation on perception of geometric characteristics, such as
density, angular variation, distances and speeds, and ii) evaluation on
personality and emotion perceptions. Results indicate that, even without
explaining to the participants the concepts of each personality or emotion and
how they were calculated (considering geometric characteristics), in most of
the cases, participants perceived the personality and emotion expressed by the
virtual agents, in accordance with the available ground truth.Comment: Extended Version of a paper published at IVA 201
A Software to Detect OCC Emotion, Big-Five Personality and Hofstede Cultural Dimensions of Pedestrians from Video Sequences
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.Comment: 13 pages, 9 figure