Emotional State Measure
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An Emotional State Measure is a psychometric measure that quantifies and assesses the intensity, duration, and type of an emotional state experienced by an Emotional Agent.
- Context:
- It can (typically) be used to quantify emotions in an Emotional Agent (such as a human, animal, or AI).
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- It can range from being a Self-Reported Emotional State Measure to being an Objective Emotional State Measure based on physiological or behavioral data.
- It can range from being a Positive Emotional State Measure to being an Negative Emotional State Measure.
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- It can measure various dimensions of emotion, such as Valence, Arousal, and Dominance.
- It can utilize tools such as Likert Scales, Facial Expression Analysis, or Neuroimaging Techniques.
- It can be used in Emotion Recognition Systems and Human-Computer Interaction research.
- It can help monitor emotional responses to stimuli in fields such as Marketing, Education, or Therapy.
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- Example(s):
- the Self-Assessment Manikin (SAM) to measure emotional responses.
- the Positive and Negative Affect Schedule (PANAS), which assesses positive and negative emotions.
- the Profile of Mood States (POMS), often used in clinical settings.
- the International Affective Picture System (IAPS) to elicit and measure emotional reactions.
- a Facial Action Coding System (FACS), which quantifies facial expressions linked to emotions.
- a Galvanic Skin Response (GSR), used to measure emotional arousal through skin conductivity.
- a fMRI scan to observe brain regions activated by emotional states.
- a Heart Rate Variability (HRV) monitor to assess emotional arousal and stress levels.
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- Counter-Example(s):
- a Cognitive Ability Test, which measures intellectual rather than emotional states.
- a Physical Health Test, which focuses on physiological rather than emotional conditions.
- See: Emotional State, Psychometrics, Emotional Intelligence, Affect Theory, Emotion Regulation, AI Emotion Recognition.