A multilayer personality model

Abstract

Virtual humans have been the focus of computer graphics research for several years now. The amalgamation of computer graphics and artificial intelligence has lead to the possibility of creating believable virtual personalities. The focus has shifted from modeling and animation towards imparting personalities to virtual humans. The aim is to create virtual humans that can interact spontaneously using a natural language, emotions and gestures. This paper discusses a system that allows the design of personality for emotional virtual human. We adopt the Five Factor Model (FFM) of personality from psychology studies. To realize the model, we use Bayesian Belief Network. We introduce a layered approach for modeling personality, moods and emotions. In order to demonstrate a virtual human with emotional personality, we integrate the system into a chat application. Thus, the system enables the developer to design and implement personalities and enables the user to interact with them.

Mood Inference Machine: Framework to Infer Affective Phenomena in ROODA Virtual Learning Environment

“…Investigations about the recognition of emotions in a virtual environment and their modeling from BN are presented in [15,16,17,18,19]. Studies that involve personified and conversational agents became well-known.…”

Artificial Emotion Generation Based on Personality, Mood, and Emotion for Life-Like Facial Expressions of Robots

“…The PME model is a quite excellent basic framework for generating artificial emotions. This basic framework consists of a mood updating step and an emotion updating step, as shown in (1) and (2). In the mood updating step, the previous mood, m t , an amount of mood change by input Ψ m (·), and the internal updating by itself Ω m (·) are considered to generate the new mood m t+1 .…”

“…In Kismet's emotional architecture, emotion is a medium to construct a kind of social relationship through emotional expression [1]. Kshirsagar et al used the 'Multilayer Personality Model' to implement a virtual agent with artificial emotion [2]. A. Egges proposed the PME model to generate artificial emotion of conversational agents [3].…”

A Model for Personality and Emotion Simulation

“…We now define the individual I t as a triple (p, m t , e t ), where m t represents the mood at a time t. We define mood as a rather static state of being, that is less static than personality and less fluent than emotions [8]. Mood can be one-dimensional (being in a good or a bad mood) or perhaps multi-dimensional (feeling in love, being paranoid).…”

“…is partly deatl with in Kshirsagar et al in [8], which describes a system that simulates personalized facial animation with speech and expressions, modulated through mood. There have been very few researchers who have tried to simulate mood [9,10].…”