TY - DATA
T1 - Data and code underlying the master thesis: Using Reinforcement Learning to Personalize Daily Step Goals for a Collaborative Dialogue with a Virtual Coach
PY - 2023/10/02
AU - Martin Dierikx
AU - Nele Albers
AU - Willem-Paul Brinkman
UR - 
DO - 10.4121/6f8e6750-7494-4226-b6f9-299a9edbb077.v1
KW - Virtual coach
KW - Goal-setting
KW - Physical activity
KW - Behaviour change
KW - Reinforcement learning
KW - Personalization
N2 - <p>This dataset contains the data and analysis code from the observational study conducted for the thesis: Using Reinforcement Learning to Personalize Daily Step Goals for a Collaborative Dialogue with a Virtual Coach. In this thesis, we studied the use of reinforcement learning to personalize daily step goal proposals based on people's personal factors, such as mood and self-motivation. To train the reinforcement learning model, we ran an observational study with a virtual coach to gather data on people's personal factors. We then ran analyses on simulations using the collected data to investigate the effectiveness of the model.</p>
ER -