CGSC 2001 Lecture Notes - Lecture 9: Facial Action Coding System, Blood Sugar, Emotion Recognition
15 Aug 2016
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Document Summary
Traditionally, cognitive science rejected emotion: focused purely on the cognitive aspects. Recently, the need to consider emotion in various cognitive science disciplines is being recognized: ex. Artificial intelligence is not making progress because it has largely focused on purely. A conscious mental reaction subjectively experiences as strong feeling. Two approaches for characterizing emotion: discrete model: emotions are regarded as categories: anger, sadness, joy, regret, etc, dimensional model: emotions are defined using a multi-dimensional space (spectrum, two common dimensions include: a. i. Valence: is the emotion pleasant or unpleasant a. ii. Arousal (aka activation): the degree of activity that is generated by a given stimulus (level of action) Discrete model: easily understandable: has limited descriptive capacity, doesn"t always capture correct emotion. Dimensional model: more biologically plausible, more descriptive power: not easily understandable, lack of differentiation when it comes to emotions that are closely related in the valence activation space (ex.
