Multimodal detection of affective states: A roadmap through diverse technologies

Javier Gonzalez-Sanchez; Winslow Burleson; Maria E. Chavez-Echeagaray; Robert K. Atkinson

doi:10.1145/2559206.2567820

Multimodal detection of affective states: A roadmap through diverse technologies

Javier Gonzalez-Sanchez, Winslow Burleson, Maria E. Chavez-Echeagaray, Robert K. Atkinson

Nursing

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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.

Original language	English (US)
Title of host publication	CHI EA 2014
Subtitle of host publication	One of a ChiNd - Extended Abstracts, 32nd Annual ACM Conference on Human Factors in Computing Systems
Publisher	Association for Computing Machinery
Pages	1023-1024
Number of pages	2
ISBN (Print)	9781450324748
DOIs	https://doi.org/10.1145/2559206.2567820
State	Published - 2014
Event	32nd Annual ACM Conference on Human Factors in Computing Systems, CHI EA 2014 - Toronto, ON, Canada Duration: Apr 26 2014 → May 1 2014

Publication series

Name	Conference on Human Factors in Computing Systems - Proceedings

Other

Other	32nd Annual ACM Conference on Human Factors in Computing Systems, CHI EA 2014
Country/Territory	Canada
City	Toronto, ON
Period	4/26/14 → 5/1/14

Keywords

Affect-driven adaptation
Affective states
Emotion recognition
Multimodal
Sensors

ASJC Scopus subject areas

Software
Human-Computer Interaction
Computer Graphics and Computer-Aided Design

Access to Document

10.1145/2559206.2567820

Cite this

Gonzalez-Sanchez, J., Burleson, W., Chavez-Echeagaray, M. E., & Atkinson, R. K. (2014). Multimodal detection of affective states: A roadmap through diverse technologies. In CHI EA 2014: One of a ChiNd - Extended Abstracts, 32nd Annual ACM Conference on Human Factors in Computing Systems (pp. 1023-1024). (Conference on Human Factors in Computing Systems - Proceedings). Association for Computing Machinery. https://doi.org/10.1145/2559206.2567820

Multimodal detection of affective states: A roadmap through diverse technologies. / Gonzalez-Sanchez, Javier; Burleson, Winslow; Chavez-Echeagaray, Maria E. et al.
CHI EA 2014: One of a ChiNd - Extended Abstracts, 32nd Annual ACM Conference on Human Factors in Computing Systems. Association for Computing Machinery, 2014. p. 1023-1024 (Conference on Human Factors in Computing Systems - Proceedings).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Gonzalez-Sanchez, J, Burleson, W, Chavez-Echeagaray, ME & Atkinson, RK 2014, Multimodal detection of affective states: A roadmap through diverse technologies. in CHI EA 2014: One of a ChiNd - Extended Abstracts, 32nd Annual ACM Conference on Human Factors in Computing Systems. Conference on Human Factors in Computing Systems - Proceedings, Association for Computing Machinery, pp. 1023-1024, 32nd Annual ACM Conference on Human Factors in Computing Systems, CHI EA 2014, Toronto, ON, Canada, 4/26/14. https://doi.org/10.1145/2559206.2567820

Gonzalez-Sanchez J, Burleson W, Chavez-Echeagaray ME, Atkinson RK. Multimodal detection of affective states: A roadmap through diverse technologies. In CHI EA 2014: One of a ChiNd - Extended Abstracts, 32nd Annual ACM Conference on Human Factors in Computing Systems. Association for Computing Machinery. 2014. p. 1023-1024. (Conference on Human Factors in Computing Systems - Proceedings). doi: 10.1145/2559206.2567820

Gonzalez-Sanchez, Javier ; Burleson, Winslow ; Chavez-Echeagaray, Maria E. et al. / Multimodal detection of affective states : A roadmap through diverse technologies. CHI EA 2014: One of a ChiNd - Extended Abstracts, 32nd Annual ACM Conference on Human Factors in Computing Systems. Association for Computing Machinery, 2014. pp. 1023-1024 (Conference on Human Factors in Computing Systems - Proceedings).

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Multimodal detection of affective states: A roadmap through diverse technologies

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Keywords

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