CSC570 Lecture 02

Applied Affective Computing
Models of Emotions
(202504)

Transcript

1. Dr. Javier Gonzalez-Sanchez javiergs@calpoly.edu www.javiergs.info o ffi ce: 14 -227 CSC 570 Current Topics in Computer Science Applied Affective Computing Lecture 02. Affect
2. Homework
3. Read 3
4. Homework 4 A.Create your Team B.Decide what your project will be C.Start Working on a proposal ▪ What - Problem to be Address ▪ Why – Impact or Relevance ▪ How – Your product and tools to be used ▪ Have something similar been done before? ▪ Why are you different? (Google Scholar)
5. Previously …
6. De f inition Applied Affective Computing 6
7. Emotions Motivation 7 - signals what humans care about - are involved in rational decision-making and action selection.

8. Motivation 8 ?
9. Work f low 9
10. De f initions
11. Affect Affect is a state associated with mental activity (neuron activation) and physiological reactions (biochemical processes). 11 🧪 🧪 + ⚡ ⚡
12. Emotion Emotion is a label given to some affective states. 12 Label 🧪 🧪 + ⚡ ⚡
13. RGB 13
14. RGB 14
15. Mood A Mood is a state that tends to be less intense than an emotion but lasts longer than emotions, from hours to days. 15 🧪 + ⚡
16. Affect, Emotion, Mood 16 🧪 + ⚡ 🧪 🧪 + ⚡ ⚡ 🧪 🧪 + ⚡ ⚡ Label 🧪 🧪 + ⚡ ⚡ Label 🧪 🧪 + ⚡ ⚡
17. Feeling Feelings are the conscious subjective experience of an emotion and last for longer than an emotion. The term feeling is used as we begin to think about our own emotions. Feelings often are fueled by a mix of integrated emotions. 17 🧪 + ⚡ 🧪 🧪 + ⚡ ⚡ 🧪 🧪 + ⚡ ⚡ Label 🧪 🧪 + ⚡ ⚡ Label 🧪 🧪 + ⚡ ⚡
19. Thoughts? 19
20. Models of Emotions
21. Discrete Categories – Paul Ekman 21 Ekman, P., 1992. Are there basic emotions? Psychological Review. 99 (3), 550–553.
22. Discrete Categories – Paul Ekman 22 Ekman, P., 1992. Are there basic emotions? Psychological Review. 99 (3), 550–553.
23. Continuous Dimensional Categories – James Russell 23 Russell, J. A. (1980). A circumflex model of affect. Journal of personality and social psychology, 39(6), 1161.
24. 3-Dimensional Categories – Albert Mehrabian + James Russell 24 Pleasure (Valence) Arousal (Activation) Dominance
26. Key Ideas 26 +P+A+D Engagement +P-A+D Meditation Concentration Thought Relaxation +P+A-D Excitement Interest Dependence +P-A-D Starting Agreement Docility -P+A+D Disagreement Hostility -P-A+D Disdain -P+A-D Frustration Unsureness Anxiety -P-A-D Boredom Pleasure (Valence) Arousal (Activation) Dominance
28. Let’s Work 28
29. Test Yorselves
30. From: Brain-Computer Interface 30 Timestamp Short Term Excitement Long Term Excitement Engagement Meditation Frustration 101116091145065 0.447595 0.54871 0.834476 0.333844 0.536197 101116091145190 0.447595 0.54871 0.834476 0.333844 0.536197 101116091145315 0.447595 0.54871 0.834476 0.333844 0.536197 101116091145440 0.487864 0.546877 0.834146 0.339548 0.54851 101116091145565 0.487864 0.546877 0.834146 0.339548 0.54851 101116091145690 0.487864 0.546877 0.834146 0.339548 0.54851 101116091145815 0.487864 0.546877 0.834146 0.339548 0.54851 101116091145940 0.521663 0.545609 0.839321 0.348321 0.558228 101116091146065 0.521663 0.545609 0.839321 0.348321 0.558228 101116091146190 0.521663 0.545609 0.839321 0.348321 0.558228 101116091146315 0.521663 0.545609 0.839321 0.348321 0.558228 101116091146440 0.509297 0.544131 0.84401 0.358717 0.546771 101116091146565 0.509297 0.544131 0.84401 0.358717 0.546771 101116091146690 0.509297 0.544131 0.84401 0.358717 0.546771 101116091146815 0.509297 0.544131 0.84401 0.358717 0.546771 101116091146941 0.451885 0.541695 0.848087 0.368071 0.533919
31. From: Face Gestures (SVM) 31 Timestamp Agreement Concentrating Disagreement Interested Thinking Unsure 101116112838516 0.001836032 0.999917 1.79E-04 0.16485406 0.57114255 0.04595062 101116112838578 0.001447654 0.9999516 1.29E-04 0.16310683 0.5958921 0.042706452 101116112838672 5.97E-04 0 1.5E-04 0.44996294 0.45527613 0.00789697 101116112838766 2.46E-04 0 1.75E-04 0.77445686 0.32144752 0.001418217 101116112838860 1.01E-04 0 2.04E-04 0.93511915 0.21167138 2.53E-04 101116112838953 4.18E-05 0 2.38E-04 0.983739 0.13208677 4.52E-05 101116112839016 1.72E-05 0 2.78E-04 0.9960774 0.07941038 8.07E-06 101116112839110 7.1E-06 0 3.24E-04 0.99906266 0.046613157 1.44E-06 101116112839156 2.92E-06 0 3.77E-04 0.99977654 0.026964737 2.57E-07 101116112839250 1.21E-06 0 4.4E-04 0.9999467 0.015464196 4.58E-08 101116112839391 4.97E-07 0 5.12E-04 0.9999873 0.008824189 8.18E-09 101116112839438 2.05E-07 0 5.97E-04 0.999997 0.005020725 1.46E-09 101116112839547 8.43E-08 0 6.96E-04 0.9999993 0.002851939 2.6E-10 101116112839578 3.47E-08 0 8.11E-04 0.9999999 0.001618473 4.64E-11 101116112839688 1.43E-08 0 9.45E-04 0.99999994 9.18E-04 8.29E-12 101116112839781 5.9E-09 0 0.001101404 1 5.21E-04 1.48E-12 101116112839828 2.43E-09 0 0.001283521 1 2.95E-04 2.64E-13
32. Let’s Work 32
33. RGB vs. PAD 33
34. Questions 34
35. CSC 570 Applied Affective Computing Javier Gonzalez-Sanchez, Ph.D. javiergs@calpoly.edu Spring 2025 Copyright. These slides can only be used as study material for the class CSC 570 at Cal Poly. They cannot be distributed or used for another purpose.