Evaluating the Effects of AI Directors for Quest Selection
Modern commercial games are designed for mass appeal, not for individual players, but there is a unique opportunity in video games to better fit the individual through adapting elements in games. In this paper, we focus on AI Directors, systems which can dynamically modify a game, that attempt to personalize the player experience to a player's preference. AI Directors have in the past provided inconclusive results, so their effect on player experience is currently unknown. In this paper, we take three AI Directors and directly compare them in a human subject study to test their effectiveness on quest selection. Our results show that a non-random AI Director provides a better player experience than a random AI Director.
Authors
- Matthew Guzdial (ORCID: https://orcid.org/0000-0001-8673-9962)
- Nathan Sturtevant (ORCID: https://orcid.org/0000-0003-4318-2791)
- Kristen K. Yu
Institutions
- University of Alberta (CA)
Publication Details
- Journal
- Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment
- Published
- 2024-11-15
- DOI
- https://doi.org/10.1609/aiide.v20i1.31885
- Primary Topic
- Explainable Artificial Intelligence (XAI)
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Canadian Institute for Advanced Research
- Alberta Machine Intelligence Institute