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.
Original language | Undefined |
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Title of host publication | Proceedings of the Eighth International Conference on Multimodal Interfaces (ICMI’06) |
Editors | F. Kwek |
Place of Publication | New York |
Publisher | ACM Press |
Pages | 257-264 |
Number of pages | 8 |
ISBN (Print) | 1-59593-541-X |
DOIs | |
Publication status | Published - Nov 2006 |
Event | 8th International Conference on Multimodal Interfaces, ICMI 2006 - Banff, Canada Duration: 2 Nov 2006 → 4 Nov 2006 Conference number: 8 |
Publication series
Name | |
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Publisher | ACM Press |
Number | 10 |
Conference
Conference | 8th International Conference on Multimodal Interfaces, ICMI 2006 |
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Abbreviated title | ICMI |
Country/Territory | Canada |
City | Banff |
Period | 2/11/06 → 4/11/06 |
Keywords
- HMI-MI: MULTIMODAL INTERACTIONS
- EC Grant Agreement nr.: FP6/506811
- IR-66667
- METIS-237664
- EWI-8306