Name
Abstract | ||
|---|---|---|
In this article we describe a domain-independent model to manage the conversation strategies between users and computers. We apply the model in COBBER, a Conversational case-based reasoning ( CCBR) framework based on reusable ontologies. The overall goal of the model is to support users following an affective approach in order to keep them in the adequate mood to interact with the computer. We describe the main tasks of the framework and the methodology to instantiate the conversation strategies for a specific domain. We design the dynamic behavior of conversation strategies with causal loops from system dynamics theory. We adapt this theoretical framework to work with the CCBR approach. |
Year | DOI | Venue |
|---|---|---|
2006 | 10.1080/09528130600975840 | JOURNAL OF EXPERIMENTAL & THEORETICAL ARTIFICIAL INTELLIGENCE |
Keywords | Field | DocType |
conversational case-based reasoning,affective computing,system dynamics | Ontology (information science),Mood,Conversation,Computer science,Causal loop diagram,Knowledge management,Human–computer interaction,System dynamics,Artificial intelligence,Affective computing,Affect (psychology) | Journal |
Volume | Issue | ISSN |
18 | 4 | 0952-813X |
Citations | PageRank | References |
1 | 0.38 | 6 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Hector Gómez-gauchía | 1 | 25 | 4.00 |
| Belén Díaz-agudo | 2 | 484 | 49.71 |
| Pedro A. González-Calero | 3 | 488 | 55.63 |