ConceptNet — A Practical Commonsense Reasoning Tool-Kit
BT Technology Journal
Assessing Sentiment of Text by Semantic Dependency and Contextual Valence Analysis
ACII '07 Proceedings of the 2nd international conference on Affective Computing and Intelligent Interaction
Towards an Ontology for Describing Emotions
WSKS '08 Proceedings of the 1st world summit on The Knowledge Society: Emerging Technologies and Information Systems for the Knowledge Society
IJCAI'09 Proceedings of the 21st international jont conference on Artifical intelligence
Planning Small Talk behavior with cultural influences for multiagent systems
Computer Speech and Language
Exploitation of Contextual Affect-Sensing and Dynamic Relationship Interpretation
Computers in Entertainment (CIE) - Theoretical and Practical Computer Applications in Entertainment
A domain-independent framework for modeling emotion
Cognitive Systems Research
| Hi-index | 0.00 |
Virtual drama systems generally promote users' experience on learning/training. It is even challenging to produce intelligent conversational agents which are capable of engaging in drama performance and responding to human users' emotion and language effectively and intelligently. In our previous work, we developed an intelligent agent embedded in a text-based improvisational virtual drama system to interact with human users and detect affect from their text input. The detection was solely based on the interpretation of each turn-taking input. In this paper, we further equip the AI agent with the capabilities of the inferences of the improvisational mood of individual characters and emotions embedded in communication context to further verify the affect drawn solely from the analysis of each turn-taking input itself. Evaluations results on context-based affect interpretation are also provided. Our work shows great potentials in employing emotions embedded in the characters and interaction context to provide personalized learning/training experience.