cff-version: 1.2.0
abstract: "<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>"
authors:
  - family-names: Dierikx
    given-names: Martin
  - family-names: Albers
    given-names: Nele
    orcid: "https://orcid.org/0000-0002-0502-6176"
  - family-names: Brinkman
    given-names: Willem-Paul
    orcid: "https://orcid.org/0000-0001-8485-7092"
title: "Data and code underlying the master thesis: Using Reinforcement Learning to Personalize Daily Step Goals for a Collaborative Dialogue with a Virtual Coach"
keywords:
version: 1
identifiers:
  - type: doi
    value: 10.4121/6f8e6750-7494-4226-b6f9-299a9edbb077.v1
license: CC BY 4.0
date-released: 2023-10-02