  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.
