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Table 4 Data considered to design the activity eCoaching app

From: ProHealth eCoach: user-centered design and development of an eCoach app to promote healthy lifestyle with personalized activity recommendations

Data type

Nature of data

Data

Activity data

Wearable sensory data

Timestamp, steps, low physical activity (LPA), medium physical activity (MPA), vigorous physical activity (VPA), sedentary, weight bearing, standing

Contextual data

External sensory data

Timestamp, city, country, weather code, status, description, temp, real_feel, pressure, humidity, visibility, wind_speed

Goal data

Questionnaire-based preference data

Generic (e.g., system defined) or personalized

Response data

Questionnaire-based preference data

Recommendation data for activity

Interaction data

Questionnaire-based preference data

Mode (e.g., style, graph), frequency (e.g., hourly, quarterly, twice a day, daily, bi-weekly, weekly, monthly), medium (e.g., text)