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abstract

Multimodal detection of affective states: a roadmap through diverse technologies

Published:26 April 2014Publication History

ABSTRACT

One important way for systems to adapt to their individual users is related to their ability to show empathy. Being empathetic implies that the computer is able to recognize a user's affective states and understand the implication of those states. Detection of affective states is a step forward to provide machines with the necessary intelligence to appropriately interact with humans. This course provides a description and demonstration of tools and methodologies for automatically detecting affective states with a multimodal approach.

References

  1. Emotiv | EEG System. http://www.emotiv.com.Google ScholarGoogle Scholar
  2. Eureka Desktop. http://www.nutonian.com/products/eureqa.Google ScholarGoogle Scholar
  3. Gonzalez-Sanchez, J., Chavez-Echeagaray, M. E., Atkinson, R. and Burleson, W. ABE: An Agent-Based Software Architecture for a Multimodal Emotion Recognition Framework. In Proc. WICSA 2011, IEEE Press (2011) 187--193. Google ScholarGoogle ScholarDigital LibraryDigital Library
  4. Hall, M., Frank, E., Holmes, G., Pfahringer, B., Reutemann, P. and Witten, I. H. The WEKA Data Mining Software: An Update. In Proc. SIGKDD Explorations, (2009) vol. 11, Issue 1. 10--18. Google ScholarGoogle ScholarDigital LibraryDigital Library
  5. Tobii Technology. http://www.tobii.com.Google ScholarGoogle Scholar

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  1. Multimodal detection of affective states: a roadmap through diverse technologies

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    • Published in

      cover image ACM Conferences
      CHI EA '14: CHI '14 Extended Abstracts on Human Factors in Computing Systems
      April 2014
      2620 pages
      ISBN:9781450324748
      DOI:10.1145/2559206

      Copyright © 2014 Owner/Author

      Permission to make digital or hard copies of part or all 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 third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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      Association for Computing Machinery

      New York, NY, United States

      Publication History

      • Published: 26 April 2014

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      Acceptance Rates

      CHI EA '14 Paper Acceptance Rate1,000of3,200submissions,31%Overall Acceptance Rate6,164of23,696submissions,26%

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