CS 5170 — Artificial Intelligence for Human-Computer Interaction
4 semester hoursGraduateLectureusually offered: fall, springBostonPortland, MaineTraditional
Offers an overview of the wide range of AI techniques that exploit knowledge of the domain and humans to facilitate interaction between humans and systems, mediate human-human interaction, leverage humans to improve system performance, and promote beneficial outcomes at the social and individual level. Topics can include AI/human computation, plan and activity recognition, smart sensing/homes, active learning, preference elicitation, intelligent/adaptive user interfaces, and mixed human-agent simulations. Studies how to design and develop intelligent interaction technologies while also critically assessing their social and ethical impact.
Prerequisites
Offering history
| Term | Sections | Enrolled | Capacity | Full | Open seats/section |
|---|---|---|---|---|---|
| Fall 2023 | 1 | 39 | 87 | 45% | 48.0 |
| Spring 2024 | 1 | 25 | 50 | 50% | 25.0 |
| Fall 2024 | 1 | 36 | 48 | 75% | 12.0 |
| Spring 2025 | 1 | 46 | 50 | 92% | 4.0 |
| Fall 2025 | 2 | 56 | 82 | 68% | 13.0 |
| Spring 2026 | 1 | 20 | 32 | 63% | 12.0 |
Snapshots from scheduled scrapes — not live seat availability. "Full" can exceed 100% when sections over-enroll.
Meeting times
Share of recent sections by weekday: M 41% · T 34% · W 0% · Th 32% · F 25%
Common patterns: T (34% of sections), MR (32% of sections), F (25% of sections), M (9% of sections) — in patterns, R means Thursday
Professors
Fall
- Saiph Savage (85% of students) · reviews
- Brianna Dym (15% of students) · reviews
Spring
- Stacy Marsella (78% of students) · reviews
- Brianna Dym (22% of students) · reviews
Percentages are each professor's average share of the season's enrolled students in recent terms.
Links
Official catalog (CS course descriptions) · Student reviews on RateMyHusky · All CS courses · Plan it at numap.app