Detection and Application of Influence Rankings in Small Group Meetings
| Type of publication: | Conference paper |
| Citation: | zhang-rr-06-49b |
| Booktitle: | In the Eighth International Conference on Multimodal Interfaces (ICMI'06) |
| Year: | 2006 |
| Note: | IDIAP-RR 06-49 |
| Crossref: | zhang-rr-06-49: |
| Abstract: | We address the problem of automatically detecting participant's influence levels in meetings. The impact and social psychological background are discussed. The more influential a participant is, the more he or she influences the outcome of a meeting. Experiments on 40 meetings show that application of statistical (both dynamic and static) models while using simply obtainable features results in a best prediction performance of 70.59\% when using a static model, a balanced training set, and three discrete classes: high, normal and low. Application of the detected levels are shown in various ways i.e. in a virtual meeting environment as well as in a meeting browser system. |
| Userfields: | ipdmembership={vision}, |
| Keywords: | |
| Projects: |
Idiap |
| Authors: | |
| Added by: | [UNK] |
| Total mark: | 0 |
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