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Artificial Playfulness: A Tool for Automated Agent-Based Playtesting

Published: 02 May 2019 Publication History

Abstract

Usertesting is commonly employed in games user research (GUR) to understand the experience of players interacting with digital games. However, recruitment and testing with human users can be laborious and resource-intensive, particularly for independent developers. To help mitigate these obstacles, we are developing a framework for simulated testing sessions with agents driven by artificial intelligence (AI). Specifically, we aim to imitate the navigation of human players in a virtual world. By mimicking the tendency of users to wander, explore, become lost, and so on, these agents may be used to identify basic issues with a game's world and level design, enabling informed iteration earlier in the development process. Here, we detail our progress in developing a framework for configurable agent navigation and simple visualization of simulated data. Ultimately, we hope to provide a basis for the development of a tool for simulation-driven usability testing in games.

References

[1]
Staffan Bjork and Jussi Holopainen. 2005. Patterns in Game Design. Charles River Media.
[2]
Benjamin Cowley and Darryl Charles. 2016. Behavlets: a method for practical player modelling using psychologybased player traits and domain specific features. User Modeling and User-Adapted Interaction 26, 2 (June 2016), 257--306.
[3]
C. Holmgård, A. Liapis, J. Togelius, and G. N. Yannakakis. 2014. Evolving personas for player decision modeling. In 2014 IEEE Conference on Computational Intelligence and Games. 1--8.
[4]
T. Machado, D. Gopstein, A. Nealen, O. Nov, and J. Togelius. 2018. AI-Assisted Game Debugging with Cicero. In 2018 IEEE Congress on Evolutionary Computation (CEC). 1--8.
[5]
Pejman Mirza-Babaei, Naeem Moosajee, and Brandon Drenikow. 2016. Playtesting for Indie Studios. In Proceedings of the 20th International Academic Mindtrek Conference (AcademicMindtrek '16). ACM, New York, NY, USA, 366--374.
[6]
Lennart E. Nacke, Chris Bateman, and Regan L. Mandryk. 2014. BrainHex: A neurobiological gamer typology survey. Entertainment Computing 5, 1 (Jan. 2014), 55--62.
[7]
N. Shaker, J. Togelius, G. N. Yannakakis, L. Poovanna, V. S. Ethiraj, S. J. Johansson, R. G. Reynolds, L. K. Heether, T. Schumann, and M. Gallagher. 2013. The turing test track of the 2012 Mario AI Championship: Entries and evaluation. In 2013 IEEE Conference on Computational Inteligence in Games (CIG). 1--8.
[8]
David Silver, Aja Huang, Chris J. Maddison, et al. 2016. Mastering the game of Go with deep neural networks and tree search. Nature 529, 7587 (Jan. 2016), 484--489.
[9]
Gillian Smith, Jim Whitehead, and Michael Mateas. 2010. Tanagra: A Mixed-initiative Level Design Tool. In Proceedings of the Fifth International Conference on the Foundations of Digital Games (FDG '10). ACM, New York, NY, USA, 209--216.
[10]
Samantha N. Stahlke and Pejman Mirza-Babaei. 2018. Usertesting Without the User: Opportunities and Challenges of an AI-Driven Approach in Games User Research. Comput. Entertain. 16, 2 (April 2018), 9:1--9:18.
[11]
J. Jay Todd and René Marois. 2004. Capacity limit of visual short-term memory in human posterior parietal cortex. Nature 428, 6984 (April 2004), 751--754.
[12]
Jonathan Tremblay, Pedro Andrade Torres, Nir Rikovitch, and Clark Verbrugge. 2013. An Exploration Tool for Predicting Stealthy Behaviour. In Artificial Intelligence in the Game Design Process 2: Papers from the 2013 AIIDE Workshop.
[13]
Georgios N. Yannakakis, Pieter Spronck, Daniele Loiacono, and Elisabeth André. 2013. Player Modeling. In Artificial and Computational Intelligence in Games, Simon M. Lucas, Michael Mateas, Mike Preuss, Pieter Spronck, and Julian Togelius (Eds.). Dagstuhl Follow-Ups, Vol. 6. Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik, Dagstuhl, Germany, 45--59.

Cited By

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  • (2024)A Progress-Based Algorithm for Interpretable Reinforcement Learning in Regression TestingIEEE Transactions on Games10.1109/TG.2024.342660116:4(844-853)Online publication date: Dec-2024
  • (2024)Automated Gameplay Testing and Validation With Curiosity-Conditioned Proximal TrajectoriesIEEE Transactions on Games10.1109/TG.2022.322691016:1(113-126)Online publication date: Mar-2024
  • (2024)Improving Generalization in Game Agents with Data Augmentation in Imitation Learning2024 IEEE Congress on Evolutionary Computation (CEC)10.1109/CEC60901.2024.10612178(1-8)Online publication date: 30-Jun-2024
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Information

Published In

cover image ACM Conferences
CHI EA '19: Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems
May 2019
3673 pages
ISBN:9781450359719
DOI:10.1145/3290607
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 02 May 2019

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Author Tags

  1. artificial intelligence
  2. game development
  3. human-computer interaction
  4. playtesting
  5. usertesting

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  • Natural Sciences and Engineering Research Council of Canada

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CHI '19
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Overall Acceptance Rate 6,164 of 23,696 submissions, 26%

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CHI 2025
ACM CHI Conference on Human Factors in Computing Systems
April 26 - May 1, 2025
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Cited By

View all
  • (2024)A Progress-Based Algorithm for Interpretable Reinforcement Learning in Regression TestingIEEE Transactions on Games10.1109/TG.2024.342660116:4(844-853)Online publication date: Dec-2024
  • (2024)Automated Gameplay Testing and Validation With Curiosity-Conditioned Proximal TrajectoriesIEEE Transactions on Games10.1109/TG.2022.322691016:1(113-126)Online publication date: Mar-2024
  • (2024)Improving Generalization in Game Agents with Data Augmentation in Imitation Learning2024 IEEE Congress on Evolutionary Computation (CEC)10.1109/CEC60901.2024.10612178(1-8)Online publication date: 30-Jun-2024
  • (2024)When and How to Use AI in the Design Process? Implications for Human-AI Design CollaborationInternational Journal of Human–Computer Interaction10.1080/10447318.2024.2353451(1-16)Online publication date: 22-May-2024
  • (2024)Data Driven Agents for User Experience TestingVideogame Sciences and Arts10.1007/978-3-031-51452-4_1(3-18)Online publication date: 3-Jan-2024
  • (2023)Video Game Automated Testing Approaches: An Assessment FrameworkIEEE Transactions on Games10.1109/TG.2020.303279615:1(81-94)Online publication date: Mar-2023
  • (2023)Towards Informed Design and Validation Assistance in Computer Games Using Imitation Learning2023 IEEE Conference on Games (CoG)10.1109/CoG57401.2023.10333234(1-8)Online publication date: 21-Aug-2023
  • (2023)Technical Challenges of Deploying Reinforcement Learning Agents for Game Testing in AAA Games2023 IEEE Conference on Games (CoG)10.1109/CoG57401.2023.10333194(1-8)Online publication date: 21-Aug-2023
  • (2023)Generating Personas for Games with Multimodal Adversarial Imitation Learning2023 IEEE Conference on Games (CoG)10.1109/CoG57401.2023.10333167(1-8)Online publication date: 21-Aug-2023
  • (2023)Centering the Human: Digital Humanism and the Practice of Using Generative AI in the Authoring of Interactive Digital NarrativesInteractive Storytelling10.1007/978-3-031-47655-6_5(73-88)Online publication date: 31-Oct-2023
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