Evaluating the Effects of AI Directors for Quest Selection

September 30, 2024 Β· Declared Dead Β· πŸ› Artificial Intelligence and Interactive Digital Entertainment Conference

πŸ‘» CAUSE OF DEATH: Ghosted
No code link whatsoever

"No code URL or promise found in abstract"

Evidence collected by the PWNC Scanner

Authors Kristen K. Yu, Matthew Guzdial, Nathan Sturtevant arXiv ID 2410.03733 Category cs.HC: Human-Computer Interaction Cross-listed cs.AI Citations 2 Venue Artificial Intelligence and Interactive Digital Entertainment Conference Last Checked 4 months ago
Abstract
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 game elements. In this paper, we focus on AI Directors, systems which can dynamically modify a game, that personalize the player experience to match the player's preference. In the past, some AI Director studies have provided inconclusive results, so their effect on player experience is not clear. 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.
Community shame:
Not yet rated
Community Contributions

Found the code? Know the venue? Think something is wrong? Let us know!

πŸ“œ Similar Papers

In the same crypt β€” Human-Computer Interaction

Died the same way β€” πŸ‘» Ghosted