Creating Model-Based Adaptive Environments Using Game-Specific and Game-Independent Analytics

Abstract

My research involves creating and evaluating adaptive game environments using player models created with data-driven techniques and algorithms. I hypothesize that I will be able to change parts of a game to elicit certain behaviors from players, and that these changes will also result in an increase of engagement and/or intrinsic motivation. Initial results in my testbed game, Scrabblesque, indicate that data-driven models and techniques can be used to influence player behavior and that these changes in play behavior manifest themselves as an increase in engagement and intrinsic motivation.

Cite

Text

Harrison. "Creating Model-Based Adaptive Environments Using Game-Specific and Game-Independent Analytics." AAAI Conference on Artificial Intelligence, 2013. doi:10.1609/AAAI.V27I1.8503

Markdown

[Harrison. "Creating Model-Based Adaptive Environments Using Game-Specific and Game-Independent Analytics." AAAI Conference on Artificial Intelligence, 2013.](https://mlanthology.org/aaai/2013/harrison2013aaai-creating/) doi:10.1609/AAAI.V27I1.8503

BibTeX

@inproceedings{harrison2013aaai-creating,
  title     = {{Creating Model-Based Adaptive Environments Using Game-Specific and Game-Independent Analytics}},
  author    = {Harrison, Brent Edward},
  booktitle = {AAAI Conference on Artificial Intelligence},
  year      = {2013},
  pages     = {1666-1667},
  doi       = {10.1609/AAAI.V27I1.8503},
  url       = {https://mlanthology.org/aaai/2013/harrison2013aaai-creating/}
}