imulating the behavior of animated virtual crowds is a challenge for the computer graphics community. To achieve realistic behavior in virtual crowds requires extensive study of the semantics underlying real crowds' motion. Psychologists study human nature to identify salient behavior characteristics. There has been extensive research on incorporating psychological models into the simulation of autonomous agents. Here, however, we're not interested in a person's personality, per se, but in incorporating a personality model into large groups of people. By changing the parameters, we examine how subgroups of people with different personality traits interact and, accordingly, how global crowd behavior is influenced. The user decides the percentage and distribution of the personality traits. Personality is a pattern of a person's behavioral, temperamental, emotional, and mental traits. Considerable controversy exists in personality research about how many personality traits there are. However, one popular model is the Five Factor, or Ocean (openness, conscientiousness, extroversion, agreeableness, and neuroticism) model. 1 These five factors are orthogonal dimensions of the personality space. Openness describes the imaginative and creative aspect of human character. Conscientiousness determines to what level a person is organized and careful. Extroversion relates to how outgoing and sociable a person is. Agreeableness is friendliness, generosity, and the tendency to get along with other people. Finally, neuroticism refers to emotional instability and the tendency to experience negative emotions. Each factor is bipolar and has several traits, which essentially are adjectives used to describe people. 2 We've mapped these trait terms to the set of behaviors in the HiDAC (High-Density Autonomous Crowds) crowd simulation system. 3 HiDAC models individual differences by assigning each person different psychological and physiological traits. Users normally set these parameters to model a crowd's nonuniformity and diversity. Our approach frees users of the tedious task of low-level parameter tuning and combines all these behaviors in distinct personality factors. To verify our mapping's plausibility, we evaluated users' perception of the personality traits in generated animations. By combining a standard personality model with a high-density crowd simulation, our approach creates plausible variations in the crowd and enables novice users to dictate these variations. This approach extends the HiDAC (High-Density Autonomous Crowds) system by providing each agent with a personality model based on the Ocean (openness, conscientiousness, extroversion, agreeableness, and neuroticism) personality model. Each personality trait has an associated nominal behavior. Specifying an agent's personality leads to an automation of low-level parameter tuning.
REF In this system, each personality trait has an associated nominal behavior.
How the Ocean Personality Model Affects the Perception of Crowds
IEEE Computer Graphics and Applications
IEEE Computer Graphics and Applications
Computer Science Medicine