Name
Abstract | ||
|---|---|---|
An attempt was made to statistically estimate proposals which survived the discussion to be incorporated in the final agreement in an instance of a Japanese design conversation. Low level speech and vision features of hearer behaviors corresponding to aiduti, noddings and gaze were found to be a positive predictor of survival. The result suggests that non-linguistic hearer responses work as implicit proposal filters in consensus building, and could provide promising candidate features for the purpose of recognition and summarization of meeting events. |
Year | Venue | Keywords |
|---|---|---|
2008 | SIGDIAL Workshop | implicit proposal filter,hearer behavior,low level speech,promising candidate feature,non-linguistic hearer response,multi-party consensus-building conversation,consensus building,japanese design conversation,positive predictor,meeting event,final agreement |
Field | DocType | Citations |
Automatic summarization,Conversation,Gaze,Computer science,Filter (signal processing),Speech recognition,Artificial intelligence,Natural language processing | Conference | 0 |
PageRank | References | Authors |
0.34 | 2 | 6 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yasuhiro Katagiri | 1 | 105 | 25.43 |
| Yasuharu Den | 2 | 145 | 26.23 |
| Masato Ishizaki | 3 | 13 | 3.90 |
| Yosuke Matsusaka | 4 | 150 | 20.49 |
| Mika Enomoto | 5 | 13 | 5.32 |
| Katsuya Takanashi | 6 | 49 | 13.40 |