Research map / Large language models / AI and society
Human-Computer Interaction for AI Systems Design: Reflections on an Online Course on Human-AI Interaction for Professionals
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Describes the design, syllabus, and student outcomes of an eight-week professional online course on human-AI system design built on design engineering methods and a triple diamond model.
Problem
Professionals who design AI-infused systems often lack actionable, systematic methods for human-AI interaction design, and existing HCI and ML teaching materials leave a gap between them.
Approach
Teaches human-AI system design by grounding HCI and AI concepts (automation levels, mixed-initiative interaction, interpretability, shared control) in design engineering methods such as solution-neutral problem statements, function models, and a triple diamond process.
Key results
- More than 200 students have completed the eight-week course since its July 2023 launch.
- More than 90 percent of students rated their experience 'good' or 'excellent' on a five-point scale.
- The course attracts about 50 students per quarterly run and is among the platform's highest-enrolling courses.
Limitations
- Evidence is limited to self-reported satisfaction and indicative qualitative feedback, with no controlled comparison or learning-gain measurement.
- Negative feedback centers on time management and the demands of the course load for working professionals.
Experimental setup
Metrics: student self-rated experience (good or excellent) course completion count
Builds on: design engineering (Pahl and Beitz) types and levels of automation (Parasuraman et al. 2000) mixed-initiative interaction (Horvitz 1999) H-metaphor (Flemisch et al. 2003)
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