AI vs. AI: Comparing Artificial Intelligence with Actual Intelligence for a Gameplay Task

Is AI always the best choice for every task? We conducted two user studies, one large-scale and one small-scale, to attempt a testing-related gameplay task, where the goal was to maximize the code and data coverage of a set of Atari 2600 games. This particular problem was previously addressed using an AI-based system published by Ganesh et al. in the 2023 IEEE Conference on Games. Our new, human-derived results not only replicate the coverage shown in the previous AI-based study, but more importantly, by using humans for gameplay we were able to get those results with much less time, effort, and resources.

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Publication Details

Published
2025-08-19
DOI
https://doi.org/10.1109/cog64752.2025.11114144
Primary Topic
Explainable Artificial Intelligence (XAI)
Type
article
Field-Weighted Citation Impact
0.00

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article

AI vs. AI: Comparing Artificial Intelligence with Actual Intelligence for a Gameplay Task

Katie Biittner, John Aycock, ­Carl Therrien, Syeda Zainab Khaleel et al.
Explainable Artificial Intelligence (XAI)
article

AI vs. AI: Comparing Artificial Intelligence with Actual Intelligence for a Gameplay Task

Katie Biittner, John Aycock, ­Carl Therrien, Syeda Zainab Khaleel, Allie Querengesser, Hailey Sikstrom
article en

Abstract

Is AI always the best choice for every task? We conducted two user studies, one large-scale and one small-scale, to attempt a testing-related gameplay task, where the goal was to maximize the code and data coverage of a set of Atari 2600 games. This particular problem was previously addressed using an AI-based system published by Ganesh et al. in the 2023 IEEE Conference on Games. Our new, human-derived results not only replicate the coverage shown in the previous AI-based study, but more importantly, by using humans for gameplay we were able to get those results with much less time, effort, and resources.

University of Calgary (CA), MacEwan University (CA)
Social Sciences and Humanities Research Council of Canada
Openalex Percentile: Top 89%
Explainable Artificial Intelligence (XAI)
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