# How much do you perceive this? An analysis on perceptions of geometric features, personalities and emotions in virtual humans (Extended Version)

## TL;DR

This study investigates how people perceive geometric features, personalities, and emotions in virtual humans, showing that participants can accurately perceive these attributes without prior explanation, based on a dataset of pedestrian videos.

## Contribution

The paper introduces an analysis method for perception of geometric, personality, and emotion features in virtual humans using a dataset with ground truth annotations.

## Key findings

- Participants perceived personality and emotion accurately without prior explanation.
- Geometric features like distances and speeds were reliably perceived.
- Perception aligned with ground truth in most cases.

## Abstract

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.