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Multimodal detection of affective states: a roadmap through diverse technologies

Published: 26 April 2014 Publication 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.
[2]
Eureka Desktop. http://www.nutonian.com/products/eureqa.
[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.
[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.
[5]
Tobii Technology. http://www.tobii.com.

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  • (2014)A System Architecture for Affective Meta Intelligent Tutoring Systems12th International Conference on Intelligent Tutoring Systems - Volume 847410.1007/978-3-319-07221-0_67(529-534)Online publication date: 5-Jun-2014

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

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    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
    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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    Author Tags

    1. affect-driven adaptation
    2. affective states
    3. emotion recognition
    4. multimodal
    5. sensors

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    CHI '14
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    CHI '14: CHI Conference on Human Factors in Computing Systems
    April 26 - May 1, 2014
    Ontario, Toronto, Canada

    Acceptance Rates

    CHI EA '14 Paper Acceptance Rate 1,000 of 3,200 submissions, 31%;
    Overall Acceptance Rate 6,164 of 23,696 submissions, 26%

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    CHI 2025
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    April 26 - May 1, 2025
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    • (2014)A System Architecture for Affective Meta Intelligent Tutoring Systems12th International Conference on Intelligent Tutoring Systems - Volume 847410.1007/978-3-319-07221-0_67(529-534)Online publication date: 5-Jun-2014

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