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CSC486 Lecture 02
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Javier Gonzalez-Sanchez
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January 09, 2025
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CSC486 Lecture 02
Human-Computer Interaction
Affect I
(202501)
Javier Gonzalez-Sanchez
PRO
January 09, 2025
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Transcript
Dr. Javier Gonzalez-Sanchez javiergs@calpoly.edu www.javiergs.info office: 14 -227 CSC 486
Human-Computer Interaction Lecture 02. Affective Factors
Human-Computer Interaction 2 Thinking Input Output Data Processing Input Output
Reciprocal Action or Influence Affective Factors Cognitive Factors
Affective Factors
Motivation 4 Emotions signals what humans care about is involved
in rational decision-making and action selection.
Motivation 5 rational decision-making
Key Ideas 6 Affect, affective state, emotion, emotional state, !
feelings ", mood ⏱.
Key Ideas 7 +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
Key Ideas 8 Many technologies may be improved by the
capability to recognize human affect and to respond adaptively by appropriately modifying their operation Empathy is the capacity to understand what another person is experiencing Emotion AI
Context 9 Rosalind Picard MIT MediaLab HCI Affective Computing
1997
Context 10
Context 11 Rosalind Picard MIT MediaLab Winslow Burleson University of
Arizona HCI Affective Computing 1997 SW Engineering Self- Adaptive Systems
Workflow 12
• Body Level One • Body Level Two • Body
Level Three • Body Level Four • Body Level Five 1
Brain 14
Brain 15 https://askabiologist.asu.edu/brain-regions
Brain 16 Timestamp AF3 F7 F3 FC5 T7 P7 O1
O2 P8 T8 FC6 F4 F8 AF4 AccX AccY 101116112544901 4542.05 4831.79 4247.18 4690.26 4282.56 4395.38 4591.79 4569.23 4360 4570.77 4297.44 4311.28 4282.56 4367.18 1660 2003 101116112544901 4536.92 4802.05 4243.08 4673.85 4272.31 4393.33 4592.82 4570.26 4354.87 4570.26 4292.31 4309.74 4277.95 4370.77 1658 2002 101116112545010 4533.33 4798.97 4234.87 4669.74 4301.03 4396.92 4592.31 4570.77 4351.28 4561.03 4281.54 4301.54 4271.28 4363.59 1659 2003 101116112545010 4549.23 4839.49 4241.03 4691.28 4333.85 4397.95 4596.41 4567.18 4355.9 4556.41 4286.15 4306.15 4277.95 4369.74 1659 2003 101116112545010 4580 4865.64 4251.79 4710.26 4340 4401.54 4603.59 4572.82 4360 4558.46 4298.97 4324.62 4296.41 4395.9 1657 2004 101116112545010 4597.44 4860 4252.82 4705.64 4350.26 4412.31 4603.59 4577.44 4357.44 4555.9 4295.38 4329.23 4296.41 4414.36 1656 2005 101116112545010 4584.62 4847.69 4246.67 4690.26 4360 4409.23 4597.44 4569.74 4351.79 4549.74 4278.97 4316.92 4272.82 4399.49 1656 2006 101116112545010 4566.15 4842.05 4238.46 4684.1 4322.05 4389.74 4592.82 4566.67 4351.79 4549.74 4274.36 4310.26 4262.05 4370.77 1655 2005 101116112545010 4563.59 4844.62 4231.79 4687.69 4267.69 4387.69 4594.36 4580 4361.03 4556.41 4278.97 4310.77 4274.36 4370.77 1653 2006 101116112545010 4567.18 4847.18 4233.33 4688.72 4285.13 4409.23 4602.05 4589.23 4368.21 4560 4280.51 4310.77 4281.54 4390.26 1655 2004 101116112545010 4562.05 4840.51 4227.18 4673.85 4300 4405.13 4611.28 4601.03 4376.41 4561.54 4280 4303.59 4279.49 4374.87 1652 2000
Brain 17 14 channels 128 samples per second 1,792 values
por second 107,520 values per minute 6,451,200 values per hour
Brain 18 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
Brain 19 24 5 samples per second 5 affective states
25 values per second 1,500 values per minute 90,000 values per hour
Brain 20
ML 21 • Neural Networks • Random Forest
Questions 59
Lab 02
Lab 02 Understanding Affect
PAD 62
CSC 486 Human-Computer Interaction Javier Gonzalez-Sanchez, Ph.D. javiergs@calpoly.edu Winter 2025
Copyright. These slides can only be used as study material for the class CSC 486 at Cal Poly. They cannot be distributed or used for another purpose.