Abstract
Argumentation can be defined as a social, intellectual, verbal activity that serves to justify or to refute an opinion, consisting of a constellation of statements and
that is directed towards obtaining the approbation of an audience. It is not unlikely to expect a relationship between the phenomena of argumentation and influence. The aim of this paper is to test the strength of the relationship between the way that people behave in a discussion and their perceived level of influence on the basis of some empirical grounds. Using the data sources that were collected from the AMI corpus for experiments in the areas of argumentation, dialogue-act, and influence research statistical dependencies and (cor)relations between the tags are mined for possible relationships. We report about the relationships that were found and how they can be used to construct a tentative profile of how influential participants, as experienced by actual meeting participants, distinguish themselves from less influential participants.
| Original language | English |
|---|---|
| Title of host publication | Proceedings Workshop on Tagging, Mining and Retrieval of Human Related Activity Information |
| Editors | P. Barthelmess, E. Kaiser |
| Place of Publication | New York |
| Publisher | Association for Computing Machinery |
| Pages | 2-9 |
| Number of pages | 8 |
| ISBN (Print) | 978-1-59593-870-1 |
| DOIs | |
| Publication status | Published - 15 Nov 2007 |
| Event | Workshop on Tagging, Mining and Retrieval of Human Related Activity Information - Nagoya, Japan Duration: 15 Nov 2007 → 15 Nov 2007 |
Workshop
| Workshop | Workshop on Tagging, Mining and Retrieval of Human Related Activity Information |
|---|---|
| Period | 15/11/07 → 15/11/07 |
| Other | 15 November 2007 |
Keywords
- EWI-11184
- IR-61956
- METIS-245740
- HMI-MI: MULTIMODAL INTERACTIONS
- EC Grant Agreement nr.: FP6/033812
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