%0 Generic
%A Dierikx, Martin
%A Albers, Nele
%A Brinkman, Willem-Paul
%D 2023
%T Data and code underlying the master thesis: Using Reinforcement Learning to Personalize Daily Step Goals for a Collaborative Dialogue with a Virtual Coach
%U 
%R 10.4121/6f8e6750-7494-4226-b6f9-299a9edbb077.v1
%K Virtual coach
%K Goal-setting
%K Physical activity
%K Behaviour change
%K Reinforcement learning
%K Personalization
%X <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>
%I 4TU.ResearchData