Towards emotional interaction: using movies to automatically learn users’ emotional states

Oliveira, Eva; Benovoy, Mitchel; Ribeiro, Nuno; Chambel, Teresa

http://hdl.handle.net/10284/10383

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Abstract(s)

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.

Keywords

Support vector machine Emotion recognition Pattern recognition Linear discriminant analysis Autonomous robot Galvanic isolation Sensor Sadness Human–computer interaction

URI

http://hdl.handle.net/10284/10383

Citation

Oliveira, E., Benovoy, M., Ribeiro, N.M., & Chambel, T. (2011). Towards Emotional Interaction: Using Movies to Automatically Learn Users' Emotional States. INTERACT.