Emotion and Cognition
- Understand the principles the research on relationships between cognition and emotion and to show its connections with other branches of cognitive science covering such topics as (1) principal approaches to the understanding of human emotion, (2) most important evidence of the role of emotion in cognitive processes, and (3) main theoretical explanations of the interactions between cognition and emotion
- Know basic notions and definitions used in the studies of relationships between emotion and cognition. Know the main theoretical approaches to the conceptualization of human emotion.
- Know the main theoretical approaches to the conceptualization of human emotion.
- Know the key methods used in the studies of relationships between emotion and cognition.
- Know the basic experiments and evidence on mood influence on attention. Know the main theoretical accounts of the mood influence on attention.
- Know the basic experiments and evidence on mood influence on thinking and decision-making. Know the main theoretical accounts of the mood influence on thinking and decision-making.
- Know the basic experiments and evidence on mood influence on judgments. Know the main theoretical postulates of the affect-as-information theory.
- Know the basic experiments and evidence on relationships between mood and memory. Know the main theoretical accounts of the relationships between mood and memory.
- Knowledge of the basics of psychometric and cognitive approaches to emotion perception and of the main theoretical ideas of emotional intelligence theories.
- Know the basic phenomena of emotional information processing. Know the main theoretical accounts of the emotion congruency and incongruency effects
- Know the main direction in affective computing studies and applications
- Introduction to human emotionsDefinition of emotions. Components of emotions. Categorical and dimensional approaches to the classification of emotions. Core affect. Overview of psychological theories of emotion. Classical theories by James–Lange, Cannon–Bard, and Schachter. Major contemporary approaches: basic emotions, appraisal, and social constructionism.
- Mood influence on cognition: Methodological issuesPrincipal experimental designs in the mood-cognition studies. Mood induction procedures and their limitations. Mood manipulation check: Measures and techniques.
- Mood influence on attentionBroadening and narrowing effects of mood. Easterbrook’s cue utilization theory and Fredrickson’s broaden-and-build theory. Experimental checks of these theories. The role of motivational intensity in narrowing the scope of attention. Meta-analytical studies of mood influences on attention.
- Mood influence on thinking and decision makingEmotional impact on thinking and decision-making: integral and incidental emotions, influences on content of thought and depth of thought, goal activation. Emotional influence on creativity: role of valence and arousal. Classical studies by Isen, and Kaufmann & Vosburg. The dual-path model.
- Mood influence on judgment. Affect-as-information theoryMain empirical evidence of mood effects on cognition. Affect-as-information theory: main predictions and experimental checks. Affect Infusion Model (AIM). Interactions between mood and emotional tone of stimuli.
- Memory and emotionMemory for emotional information. Flash-bulb memories. Emotion-and-memory triangle. Mood-congruent and mood-incongruent learning and recall. Mood-dependent recall. Associative and motivational explanations.
- Processing of emotional information. Emotion congruency and incongruencyEmotional attention. Experimental paradigms used in the research of emotional attention: attentional cueing, visual search, emotional Stroop task, attentional blink, eye tracking. Main results and theoretical interpretations.
- Perception of emotions. Emotional intelligenceEmotion recognition: psychometric and cognitive approaches. Emotional intelligence: theory, measurement, and applications. Emotion recognition ability. Biases in emotion perception.
- Affective computingMain goals and application of affective computing. Approaches to automatic emotion recognition: challenges and perspectives. BDI agents and simulation of human emotions.
- Mid-term test 1
- Mid-term test 2
- Paper presentation
- In-class activity (discussion, answers to questions)
- Interim assessment (2 module)Gfinal = 0.6 × (0.2 × Gpaper presentation + 0.3 × Gtest1 + 0.3 × Gtest2 + 0.2 × Gclass) + 0.4 × Gexam
- Handbook of Affective Sciences. Richard J. Davidson, Klaus R. Scherer, and H. Hill Goldsmith. Oxford University Press. 2002
- Handbook of Communication and Emotion. Edited by: Peter A. Andersen and Laura K. Guerrero. Academic Press. 1996
- The Cambridge Handbook of Cognitive Science. Keith Frankish and William Ramsey. Cambridge University Press. 2012
- Niedenthal, P. M., & Ric, F. (2017). Psychology of Emotion (Vol. Second edition). New York, NY: Psychology Press. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=nlebk&AN=1511095