E-VOX: A Socially Enhanced Semantic ECA
| Title | E-VOX: A Socially Enhanced Semantic ECA |
| Publication Type | Conference Paper |
| Year of Publication | 2016 |
| Authors | Pérez, Joaquín, Cerezo, Eva, Serón, Francisco J. |
| Conference Name | Proceedings of the International Workshop on Social Learning and Multimodal Interaction for Designing Artificial Agents |
| Publisher | ACM |
| Conference Location | New York, NY, USA |
| ISBN Number | 978-1-4503-4560-6 |
| Keywords | affective computing, cognitive architecture, embodied conversational agent, human factors, pubcrawl, Scalability, Social Agents, social interaction |
| Abstract | In this paper, we present E-VOX, an emotionally enhanced semantic ECA designed to work as a virtual assistant to search information from Wikipedia. It includes a cognitive-affective architecture that integrates an emotion model based on ALMA and the Soar cognitive architecture. This allows the ECA to take into account features needed for social interaction such as learning and emotion management. The architecture makes it possible to influence and modify the behavior of the agent depending on the feedback received from the user and other information from the environment, allowing the ECA to achieve a more realistic and believable interaction with the user. A completely functional prototype has been developed showing the feasibility of our approach. |
| URL | http://doi.acm.org/10.1145/3005338.3005340 |
| DOI | 10.1145/3005338.3005340 |
| Citation Key | perez_e-vox:_2016 |