Abstract
The question “What is the meaning of a smile?” could be easily answered with the sentence “it means happiness”. But we can see in our daily lives that it is not always true. We also recognize that there is the context the one that makes us differentiate a happy smile from an embarrassed smile. The context is the framework that gives emotions a reason for happening because it describes what occurs around a person. Therefore, to create virtual characters, or agents that express emotions in a believable way it is necessary to simulate the context around them. The novelty of this chapter is the representation of context using ontologies, where context is seen not only as the events in the world, but also as that part of the character which allows them to react in one way or another, resulting in more believable emotional responses.
TopState Of Art
Context is what gives meaning to everything we do and how we do it. Therefore, a lot of effort has been invested in trying to model and define it. In the field of Computer Science some areas that have attempted to work on and with it are Affective Computing, Ubiquitous Computing, and Artificial Intelligence.
Strang & Linnhoff-Popien (2004) evaluated six of the most relevant existing approaches to model context for ubiquitous computing:
Key Terms in this Chapter
JENA: Java framework for building Semantic Web applications.
Agent: Individual that experiences the actions, interacts with the elements and is affected by the interrelations of the context.
Goal: State of success to be achieve by an agent.
Personality: Set of traits that define a person psychologically and behaviorally.
Preference: Something (or state) liked or disliked by the agent.
Event: Is an action that occurs in the world where the agent lives.
Ontology: Structure that defines concepts and their relations in a specific domain.
Role: Identity assumed by an agent in relation to peer agents and himself.
Context: Set of actions, elements and interconnections that occur and exists around an agent.