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Using the influence model to recognize functional roles in meetings

Published: 12 November 2007 Publication History

Abstract

In this paper, an influence model is used to recognize functional roles played during meetings. Previous works on the same corpus demonstrated a high recognition accuracy using SVMs with RBF kernels. In this paper, we discuss the problems of that approach, mainly over-fitting, the curse of dimensionality and the inability to generalize to different group configurations. We present results obtained with an influence modeling method that avoid these problems and ensures both greater robustness and generalization capability.

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cover image ACM Conferences
ICMI '07: Proceedings of the 9th international conference on Multimodal interfaces
November 2007
402 pages
ISBN:9781595938176
DOI:10.1145/1322192
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Publication History

Published: 12 November 2007

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Author Tags

  1. group interaction
  2. intelligent environments
  3. support vector machines

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ICMI07
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ICMI07: International Conference on Multimodal Interface
November 12 - 15, 2007
Aichi, Nagoya, Japan

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Overall Acceptance Rate 453 of 1,080 submissions, 42%

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  • (2023)Detecting the Hidden Dynamics of Networked Actors Using Temporal CorrelationsCompanion Proceedings of the ACM Web Conference 202310.1145/3543873.3587672(1214-1217)Online publication date: 30-Apr-2023
  • (2023)Tractable Maximum Likelihood Estimation for Latent Structure Influence Models With Applications to EEG & ECoG ProcessingIEEE Transactions on Pattern Analysis and Machine Intelligence10.1109/TPAMI.2023.324413045:8(10466-10477)Online publication date: Aug-2023
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