Crowd simulation influenced by agent's socio-psychological state

TL;DR

This paper presents a method for simulating virtual humans whose movements are influenced by socio-psychological states, combining social force and rule-based models for more realistic behavior.

Contribution

It introduces a novel approach integrating socio-psychological rules into agent movement models for enhanced realism in crowd simulation.

Findings

Agents exhibit more natural and realistic movements.

Socio-psychological influences improve simulation authenticity.

The combined model outperforms traditional methods.

Abstract

The aim our work is to create virtual humans as intelligent entities, which includes approximate the maximum as possible the virtual agent animation to the natural human behavior. In order to accomplish this task, our agent must be capable to interact with the environment, interacting with objects and other agents. The virtual agent needs to act as real person, so he should be capable to extract semantic information from the geometric model of the world where he is inserted, based on his own perception, and he realizes his own decision. The movement of the individuals is representing by the combination of two approaches of movement which are, the social force model and the based-rule model. These movements are influenced by a set of socio-psychological rules to give a more realistic result.