CSC570 Lecture 01

Applied Affective Computing
Course Presentation
(202304)

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 01. Course Presentation
2. Introductions
3. First n a me L a st n a me Dr. J a vier Gonz a lez-S a nchez j a viergs@c a lpoly.edu www.j a viergs.info Contact Information
4. Where Am I from?
5. Context 5 
 HCI Affective Computing 
 SW Engineering Self- Adaptive Systems
6. Context 6 Rosalind Picard MIT MediaLab Winslow Burleson University of Arizona My PhD Advisor 
 HCI Affective Computing 1997 
 SW Engineering Self- Adaptive Systems
7. Context 7 Rosalind Picard MIT MediaLab Winslow Burleson University of Arizona My PhD Advisor 
 HCI Affective Computing 1997 
 SW Engineering Self- Adaptive Systems 
 SW Engineering Self- Adaptive Systems David Garlan Carnegie Mellon Rainbow Framework
8. www.j a viergs.info/te a ching/ At CSU: Softw a re Engineering (CSC 305, CSC 307, 308, 309, 508, 509) Hum a n-Computer Inter a ction (CSC 486 a nd CSC 570) Teaching
9. Research 9 Research
10. Your Turn • Wh a t is your n a me (or how you go by it)? • Why a re you here? • Did you took 307/308/309/486?
11. Course Content
12. De f inition Applied Affective Computing 12
13. Emotions Motivation 13 - signals what humans care about - are involved in rational decision-making and action selection.

14. Motivation 14 Rational decision-making
15. Motivation 15
16. Key Ideas 16
17. Tools (a.k.a. toys)
18. Brain-Computer Interfaces • Emotiv He a dsets https://www.emotiv.com/ • D a t a https://emotiv.gitbook.io/cortex-api/data-subscription/data-sample-object 18
19. • Met a Quest https://developers.meta.com/horizon/resources/compare-devices/ AR/VR 19
20. Eye Tracking • Tobii Sp a rk https://www.tobii.com/products/eye-trackers/screen-based/tobii-pro-spark • Tobii SDK https://www.tobii.com/products/software/applications-and-developer-kits/tobii-pro-sdk 20
21. Cobot • Univers a l Robotics e-Series https://www.universal-robots.com/media/1802432/e-series-brochure.pdf • Comm a nds th a t c a n be used https://s3-eu-west-1.amazonaws.com/ur-support-site/29983/Script command Examples.pdf 21
22. Eye Tracking • Petoi https://www.petoi.com/pages/software-apps • Arduino IoT (with MQTT) https://docs.arduino.cc/tutorials/uno-wifi-rev2/uno-wifi-r2-mqtt-device-to-device/ 22
23. Examples
24. Affect Recognition 24 BCI and Gaze Points engagement
25. Affect Recognition 25 BCI and Gaze Points frustration
26. Chavez, M., Christopherson, R., Gonzalez-Sanchez, J., Atkinson, R. User Experience. 2018 https://youtu.be/T9nBNYfvhbY Neuromarketing 26
27. Games 27 Harris, A., Hoch, A., Kral, R., Teposte, M., Villa, A., et. al. Including affect-driven adaptation to the Pac-Man video game. ACM ISWC 2014 https://youtu.be/7KbDUX0l7kM
28. Games 28 Bernays, R., Mone, J., Yau, P., Murcia, M., Gonzalez-Sanchez, J., et al. Lost in the dark: ACM UIST 2012 https://youtu.be/3ACKveG1arg
29. VR 29 Hang, B., Loucks, S., Patel, P., Wiseman, K. Capstone Project 2021 https://youtu.be/ZY6_0-A1n5s
30. Canete, A., Gonzalez-Sanchez, J. & Guerra-Silva, R. (2024). Exploring Cognition and Affect during Human-Cobot Interaction. 288–291. https://youtu.be/tpl3L49v6eA?si=Mzv_qi39D-ZOYEC0 Human-Robot Interaction 30
31. Tutoring Systems 31 VanLehn, K., Burleson, W., Chavez, M., Gonzalez-Sanchez, J., et al. The Affective Meta-Tutoring project ITS 2014 - 2018
32. Syllabus
33. Guidelines 33 Attendance (participation) is Expected
34. Guidelines 34 Hours per Week
35. Guidelines 35 Late Assignments
36. Guidelines 36 Regularly visit our course page on Canvas
37. Grading 38 Team Project + Paper 40% 30% Assignments, Quizzes, Labs 20% Final Exam 5% Attendance & Participation 5% Self / Peer Evaluation 100%
38. Grading 39 100 A >= 96.5 A- >= 93.0 B+ >= 89.5 B >= 86.0 B- >= 82.5 C+ >= 79 C >= 75.5 C- >= 72.0 D+ >= 68.5 D >= 65.0 D- >= 61.5 F < 61.5
39. Details for Final Project and Paper
40. Final Project a ) Fin a l Version of your Source Code - submit your J a v a f iles b) D a t a set - collected or simul a ted c) short p a per - (4 p a ges) d) Final presentation video – Sh a re a link to your recorded present a tion. 41
41. Short Paper 42 Go to: https://template-selector.ieee.org/ And select conferences.
42. Short Paper • Title – A concise a nd descriptive title th a t re f lects the m a in topic of the p a per. • Abstr a ct (Option a l) – A brief summ a ry (usu a lly 150–250 words) outlining the p a per’s objective, key f indings, a nd conclusions. • Introduction (-1) – Introduces the m a in topic, a nd st a tes the rese a rch question or problem. It should highlight the project purpose a nd signi f ic a nce. WHAT you did a nd WHY • B a ckground (-1-) – Summ a rizes relev a nt context: BCI or Eye Tr a cking, or XR, or Robotics, even Docker. Things th a t a lre a dy exist a nd you used • Methodology – Brie f ly expl a ins HOW d a t a w a s collected or a n a lyzed or HOW you implemented a n a pplic a tion th a t a d a pt in re a l-time • Discussion/An a lysis/Product (-1-) – Presents a rguments, evidence, or insights a bout wh a t work a nd wh a t did not. Showc a se your a chievements a nd do not be a fr a id to disclose f a ilures. • Conclusion – Summ a rizes the m a in points, reinforces key f indings, a nd m a y suggest future rese a rch or a pplic a tions. • References (1) – Lists sources cited in the p a per, following the required cit a tion form a t (e.g., APA, IEEE, or MLA). 43
43. Presentation Demo of your project. Show your project running. :: notes :: you c a n, a ddition a lly, t a lk (brie f ly) a bout your extr a items or missing items. 44
44. References
45. References
46. Questions 47
47. 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.