1. Describe the scenario
First discuss the scenario as a group. Then score the design. A high score means that the scenario/design gives stronger evidence for that HCAI dimension; it does not mean that every HCAI system should maximise every dimension.
2. HCAI profile
3. Design choices
Based on your assessment, propose two concrete design changes. Try to connect each choice to one or more HCAI dimensions. Focus on what you would actually change in the AI system, the human-AI interaction, the workflow, or the context of use.
3. Results: your HCAI profile
4. Human control × AI automation
This is deliberately kept separate from the radar score. Shneiderman argues that human control and computer automation are distinct dimensions: high automation is not automatically “more HCAI”, and the appropriate position depends on the task and context.
Low automation
Useful where mastery, exploration or independent human action is central.
High automation
Often desirable for complex tasks where automation assists while people retain meaningful control.
Low automation
Limited assistance; may be appropriate for simple devices, but offers little augmentation.
High automation
Can be appropriate for rapid, predictable actions, but requires strong reliability, safeguards and monitoring.
Literature used in this classroom tool
Shneiderman (2020) — two-dimensional HCAI: human control and computer automation, with emphasis on reliable, safe and trustworthy systems.
DOI: 10.1080/10447318.2020.1741118
Schmager, Pappas & Vassilakopoulou (2025) — systematic review identifying HCAI purposes (augmentation, AI autonomy, automation), values, properties (oversight, comprehension, integrity), and continuous user involvement/iteration.
DOI: 10.1080/0144929X.2024.2448719
Amershi et al. (2019) — 18 empirically evaluated guidelines for Human-AI Interaction, including correction, uncertainty, explanation, feedback, global controls and notification of changes.
CHI 2019 DOI