Name
Abstract | ||
|---|---|---|
This paper contributes to the field of humoroids -- humor-equipped conversational agents. We present our multi-agent system (multi-humoroid), which tells jokes according to users' emotions, in order to make them feel better. We briefly describe the components and the design of the system, and present results of two experiments showing that the system with humor was evaluated as generally better than a baseline dialogue agent. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.5555/1838206.1838418 | AAMAS |
Keywords | Field | DocType |
humor-equipped conversational agent,multi-agent system,present result,baseline dialogue agent,bad mood,joking system,nlp | Humor research,Computer science,Human–computer interaction,Artificial intelligence,Computational humor,Machine learning | Conference |
Citations | PageRank | References |
1 | 0.39 | 3 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Pawel Dybala | 1 | 104 | 12.10 |
| Michal Ptaszynski | 2 | 132 | 25.47 |
| Rafal Rzepka | 3 | 187 | 40.62 |
| Kenji Araki | 4 | 343 | 80.17 |