Name
Abstract | ||
|---|---|---|
This paper presents research in Contextual Affect Analysis CAA for the need of future application in intelligent agents, such as conversational agents or artificial tutors. The authors propose a new term, Computational Fronesis CF, to embrace the tasks included in CAA applied to development of conversational agents such as artificial tutors. In tutor-student discourse it is crucial that the artificial tutor was able not only to detect user/student emotions, but also to verify toward whom they were directed and whether they were appropriate for the context of the conversation. Therefore, as the first task in CF the authors focus on verification of contextual appropriateness of emotions. They performed some of the first experiments in this task for the Japanese language and discuss future directions in development and implications of Computational Fronesis. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.4018/jdet.2013040102 | IJDET |
Keywords | Field | DocType |
intelligent agent,future application,contextual affect analysis caa,conversational agent,computational fronesis,towards computational fronesis,contextual appropriateness,artificial tutor,japanese language,verifying contextual appropriateness,future direction,computational fronesis cf,computational linguistics,artificial intelligence | Educational technology,TUTOR,Intelligent agent,Conversation,Computer science,Japanese language,Computational linguistics,Multimedia | Journal |
Volume | Issue | Citations |
11 | 2 | 1 |
PageRank | References | Authors |
0.41 | 24 | 6 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Michal Ptaszynski | 1 | 132 | 25.47 |
| Pawel Dybala | 2 | 104 | 12.10 |
| Michal Mazur | 3 | 1 | 0.41 |
| Rafal Rzepka | 4 | 187 | 40.62 |
| Kenji Araki | 5 | 343 | 80.17 |
| Yoshio Momouchi | 6 | 54 | 15.10 |