Name
Abstract | ||
|---|---|---|
N-gram affective Event model which consists of 5W1H event episode ontologies and affection ontologies is suggested for personalized robotic service. Nowadays, personalization technology is increasingly becoming an essential component in education. Here, robotic service can be another field to meet personal need. The case study shows that even though two students missed same question, robots suggests different reviews according to the his own personal tendency. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1109/HRI.2013.6483563 | HRI |
Keywords | Field | DocType |
5wih event episode ontologies,n-gram affective event model,languages,affection ontologies,natural languages,affection ontology,event episode ontology,personal need,own personal tendency,essential component,service robots,personalized robotic services,case study shows,design,ontologies (artificial intelligence),personal tendency,personalization technology,human factors,personalized robotic service,robotic service,different review,educational robots,personalization,ontologies,n gram,robots | Ontology (information science),Computer science,Simulation,Affection,Natural language,Human–computer interaction,n-gram,Robot,Educational robotics,Affect (psychology),Personalization | Conference |
ISSN | ISBN | Citations |
2167-2121 E-ISBN : 978-1-4673-3100-5 | 978-1-4673-3100-5 | 1 |
PageRank | References | Authors |
0.35 | 4 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Gi Hyun Lim | 1 | 162 | 17.33 |
| Seung Woo Hong | 2 | 1 | 0.35 |
| Inhee Lee | 3 | 275 | 33.89 |
| Il Hong Suh | 4 | 780 | 110.60 |
| Michael Beetz | 5 | 3784 | 284.03 |