Towards Emotional Interaction: Using Movies to Automatically Learn Users’ Emotional States

Abstract : The HCI community is actively seeking novel methodologies to gain insight into the user’s experience during interaction with both the application and the content. We propose an emotional recognition engine capable of automatically recognizing a set of human emotional states using psychophysiological measures of the autonomous nervous system, including galvanic skin response, respiration, and heart rate. A novel pattern recognition system, based on discriminant analysis and support vector machine classifiers is trained using movies’ scenes selected to induce emotions ranging from the positive to the negative valence dimension, including happiness, anger, disgust, sadness, and fear. In this paper we introduce an emotion recognition system and evaluate its accuracy by presenting the results of an experiment conducted with three physiologic sensors.
Document type :
Conference papers
Complete list of metadatas

Cited literature [12 references]  Display  Hide  Download

https://hal.inria.fr/hal-01590568
Contributor : Hal Ifip <>
Submitted on : Tuesday, September 19, 2017 - 4:59:31 PM
Last modification on : Wednesday, September 20, 2017 - 2:50:48 PM

File

978-3-642-23774-4_15_Chapter.p...
Files produced by the author(s)

Licence


Distributed under a Creative Commons Attribution 4.0 International License

Identifiers

Citation

Eva Oliveira, Mitchel Benovoy, Nuno Ribeiro, Teresa Chambel. Towards Emotional Interaction: Using Movies to Automatically Learn Users’ Emotional States. 13th International Conference on Human-Computer Interaction (INTERACT), Sep 2011, Lisbon, Portugal. pp.152-161, ⟨10.1007/978-3-642-23774-4_15⟩. ⟨hal-01590568⟩

Share

Metrics

Record views

141

Files downloads

110