R De Boer
Biographic Data
| ID | 7943772 |
|---|---|
| NAME | R De Boer |
| GIVEN NAMES | R |
| FAMILY NAME | De Boer |
| SIGNATURE | DE BOER R |
| AFFILIATIONS | Amsterdam University of Applied Sciences |
| ORCID | 0000-0003-1062-4290 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 2 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2021 |
| LATEST PUBLICATION YEAR | 2021 |
| H-INDEX | 0 |
The Design and Development of a Personalized Leisure Time Physical Activity Application Based on Behavior Change Theories, End-User Perceptions, and Principles From Empirical Data Mining
Introduction: Many adults do not reach the recommended physical activity (PA) guidelines, which can lead to serious health problems. A promising method to increase PA is the use of smartphone PA applications. However, despite the development and evaluation of multiple PA apps, it remains unclear how to develop and design engaging and effective PA apps. Furthermore, little is known on ways to harness the potential of artificial intelligence for de…
Reinforcement Learning to Send Reminders at Right Moments in Smartphone Exercise Application
Just-in-time adaptive intervention (JITAI) has gained attention recently and previous studies have indicated that it is an effective strategy in the field of mobile healthcare intervention. Identifying the right moment for the intervention is a crucial component. In this paper the reinforcement learning (RL) technique has been used in a smartphone exercise application to promote physical activity. This RL model determines the 'right' time to deli…
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The Design and Development of a Personalized Leisure Time Physical Activity Application Based on Behavior Change Theories, End-User Perceptions, and Principles From Empirical Data Mining
Introduction: Many adults do not reach the recommended physical activity (PA) guidelines, which can lead to serious health problems. A promising method to increase PA is the use of smartphone PA applications. However, despite the development and evaluation of multiple PA apps, it remains unclear how to develop and design engaging and effective PA apps. Furthermore, little is known on ways to harness the potential of artificial intelligence for de…
Reinforcement Learning to Send Reminders at Right Moments in Smartphone Exercise Application
Just-in-time adaptive intervention (JITAI) has gained attention recently and previous studies have indicated that it is an effective strategy in the field of mobile healthcare intervention. Identifying the right moment for the intervention is a crucial component. In this paper the reinforcement learning (RL) technique has been used in a smartphone exercise application to promote physical activity. This RL model determines the 'right' time to deli…
Computer Science (2 works) · Human–computer interaction (2 works) · Mobile Health and mHealth Applications (2 works) · Psychology (2 works) · Applied Psychology (1 works) · Applied Psychology (1 works) · Artificial Intelligence (1 works) · Behavior change (1 works) · Context (archaeology (1 works) · Digital Mental Health Interventions (1 works)