ThreatBot: A new model for improving FPS experiences with bots

Conroy, David J. (2015) ThreatBot: A new model for improving FPS experiences with bots. PhD thesis, Queensland University of Technology.


This work is focused on the player experience and the design of artificial intelligence (AI) to meet player expectations in a competitive video game context. The original contribution of this research is a new approach to designing games and AI opponents that are more enjoyable for players to interact with, particularly in First Person Shooter (FPS) video games. This approach is modeled in detail and implemented in a prototype game AI called ThreatBot. The results show that the new AI design is more enjoyable to compete against, particularly with regards to player's perceived levels of competence.

Impact and interest:

Search Google Scholar™

Citation counts are sourced monthly from Scopus and Web of Science® citation databases.

These databases contain citations from different subsets of available publications and different time periods and thus the citation count from each is usually different. Some works are not in either database and no count is displayed. Scopus includes citations from articles published in 1996 onwards, and Web of Science® generally from 1980 onwards.

Citations counts from the Google Scholar™ indexing service can be viewed at the linked Google Scholar™ search.

Full-text downloads:

41 since deposited on 11 Jan 2016
26 in the past twelve months

Full-text downloads displays the total number of times this work’s files (e.g., a PDF) have been downloaded from QUT ePrints as well as the number of downloads in the previous 365 days. The count includes downloads for all files if a work has more than one.

ID Code: 90077
Item Type: QUT Thesis (PhD)
Supervisor: Wyeth, Peta & Johnson, Daniel
Keywords: Player experience, video games, game design, artificial intelligence, first person shooter, bot, non-player character, human-like, enjoyment, prototype
Divisions: Current > QUT Faculties and Divisions > Science & Engineering Faculty
Institution: Queensland University of Technology
Deposited On: 11 Jan 2016 03:07
Last Modified: 11 Jan 2016 03:07

Export: EndNote | Dublin Core | BibTeX

Repository Staff Only: item control page