Human experience with interactive games will be enhanced if the software agents that play the game learn from their failures. Techniques such as reinforcement learning provide one...
While psychologists analyze network game-playing behavior in terms of players’ social interaction and experience, understanding user behavior is equally important to network res...
Personal robots for human entertainment form a new class of computer-based entertainment that is beginning to become commercially and computationally practical. We expect a princi...
The ability of artificial companions (virtual agents or robots) to establish meaningful relationships with users is still limited. In humans, a key aspect of such ability is empath...
The concept of Player Adaptive Entertainment Computing (PAEC) is introduced to provide personalized experiences when interacting with the entertainment media. Two of the important ...