Table 2.

Scenarios created to support the user requirements. Settings: the context and situation of the scenario. Agents: actors in the scenario. Goals: targets of the scenario. Events: the actions taken by the agents during the scenario.

Taxonomy	Scenario 1	Scenario 2	Scenario 3
Settings	Patient has nightly hypoglycemic events. The patient has an appointment with a diabetes nurse to discuss his situation and therefore collected health data for 1 month prior to the appointment. The patient uses finger pricks and an insulin pen.	Patient struggles with carbohydrate counting and always ends up in hyperglycemia after meals, despite using a hybrid closed-loop system (continuous glucose monitor and a pump). Patient also reaches hypoglycemic levels after the insulin action (“yoyo” effect). Patient has an appointment with a dietitian after having collected 1 week of data.	Patient always has high fasting blood glucose levels, despite being on medication and following cooking courses. Patient has a meeting with his general practitioner after collecting 2 weeks of data.
Agents	Patient with type 1 diabetes and diabetes nurse	Patient with type 1 diabetes and dietitian	Patient with type 2 diabetes and general practitioner
Goals	The system should show the hypoglycemic events and identify the nightly trends. The system should show the insulin dosages and the carbohydrate intakes to help the nurse identify possible points of action.	The system should show the relationship between meal intakes, insulin-on-board levels, and blood glucose levels.	The system should show the high glucose situations, the calorie intakes that are above the recommended levels, the patient’s lack of physical activity, the high blood pressure, and that the patient sometimes forgets to take his medication.
Events	Patient registers, on an average, per day: 10 blood glucose values, 4 carbohydrate intakes, 6 insulin injections (2 basal, 4 bolus), and 10 minutes of physical activity. Nurse discusses the patient’s hypoglycemic events with him and consults the data using the FullFlow dashboard.	Patient registers, on an average, per day: 288 blood glucose values, hourly insulin bolus dosage, and 5 carbohydrate intakes. Dietitian discusses with the patient his “yoyo effect” after meals and consults the self-collected health data using the FullFlow dashboard.	Patient registers, on an average, per day: 1 blood glucose value, 2 medication intakes, and 5 calorie intakes. Patient also has: 2 weight registrations, 1 blood pressure registration, and 3 physical activity registrations (<10 minutes). General practitioner discusses the situation with the patient and uses the FullFlow system to get an overview of his situation.