Advanced Seminar: Affective Computing and Ethics
Instructs students on how to develop artificial intelligence technologies that help people measure and communicate emotion, that respectfully read and that intelligently respond to emotion, and that have internal mechanisms inspired by the useful roles emotions play in humans. Students will also discuss ethical questions that arise with the use of emotion-AI technologies and how to prevent misuse. Topics vary from year to year, and may include the interaction of emotion with cognition and perception; the communication of human emotion via face, voice, physiology, and behavior; construction of computers, agents, and robots having skills of emotional intelligence; the role of emotion in decision-making and learning; and ethical uses of affective technologies for education, autism, health, and market research applications. Weekly reading, discussion, and a term project required. Enrollment limited.
Fall 2015 · Affective Computing
Topics
- Introduction to Affective Computing & The Challenge of Mood Measurement and Forecasting
- Affect Recognition
- Students Present on 2–3 “Rough Project Ideas”
- Sensing Emotion Directly and Indirectly
- Affective Technology Interaction & Empathy
- Project Presentations: Background and Design
- Ethical Issues Related to Affective Computing
- Grab Bag of Affective Computing Topics
- Final Project Presentations & Discussion
- Final Project Presentations & Celebration
Readings
- SES #: 1 · TOPICS: Introduction to Affective Computing & The Challenge of Mood Measurement and Forecasting · READINGS: [RP] Chapter 1, Chapter 2 (especially pp. 75–82 on emotional intelligence), and Chapter 3.
- [RP] Chapter 5.
- [RC] Chapter 14.
- SES #: 6 · TOPICS: State of The Art Facial Expression Recognition and What It Tells Us About Emotion · READINGS: No assigned readings
- Hernandez, J., D. McDuff, X. Benvidas, et al. “AutoEmotive: Bringing Empathy to the Driving Experience to Manage Stress.” In Designing Interactive Systems: A Comprehensive Guide to HCI, UX & Interaction Design. Trans-Atlantic Publications, 2013, pp. 53–56. ISBN: 9781447920113.
- Hernandez, J., M. E. Hoque, W. Drevo, et al. “Mood Meter: Counting Smiles in the Wild.” In Ubiquitous Computing: Smart Devices, Environments and Interactions . Wiley, 2009, pp. 301–10. ISBN: 9780470035603.
- McEwen, B. S., and T. Seeman. “Stress and affect: Applicability of the concepts of allostasis and allostatic load.” In Handbook of Affective Sciences . Edited by R. J. Davidson, K. R. Scherer and H. H. Goldsmith. Oxford University Press, 2002, pp. 1117-37. ISBN: 9780195126013.
- [RP] Picard. Chapter 4: Potential Concerns.
- [RC] Cowie. Chapter 24: Ethical Issues in Affective Computing.
Prerequisites & course information
Prereq: Permission of instructor G (Fall) Not offered regularly; consult department 2-0-10 units
Sources
- Course catalogue ↗2026–2027
- MIT OpenCourseWare ↗Fall 2015
- MIT OCW calendar ↗
- MIT OCW readings ↗
- MIT OCW syllabus ↗
- Historical MIT OpenCourseWare offering. Named reading entries and schedule topics are automatically extracted from the linked source pages.