The Reversed Turing Test
Publication date
2025-04-26
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taverne
Abstract
This paper introduces The Reversed Turing Test, an innovative game that reimagines Alan Turing’s iconic question, "Can machines think?" by reversing the evaluation process. Players interact with a large language model (LLM) impersonating Turing, who seeks to determine if the player is human or AI. Set in the 1940s and 1950s historical context, the game combines immersive storytelling with period-accurate design. Developed using Unity and generative AI tools, it leverages LLM-driven dialogue to explore AI capabilities and limitations, such as coherence and interpretative challenges. By embedding AI’s imperfections into gameplay, the project fosters an understanding of LLM constraints while encouraging reflections on human-AI dynamics. Through its accessible yet thought-provoking design, the game contributes to the discourse on AI, which is often dominated by moralistic critiques or oversimplified portrayals that fail to capture AI’s complexities. This engaging approach contributes to the broader discourse on AI’s evolving role.
Keywords
Game AI, LLM Games, Social Deduction Games, Human-Computer Interaction, Computer Graphics and Computer-Aided Design, Software
Citation
Lokhorst, C, Ronde, R, Francis, A & Pfau, J 2025, The Reversed Turing Test. in CHI EA 2025 - Extended Abstracts of the 2025 CHI Conference on Human Factors in Computing Systems., 893, Conference on Human Factors in Computing Systems - Proceedings, Association for Computing Machinery, 2025 CHI Conference on Human Factors in Computing Systems, CHI EA 2025, Yokohama, Japan, 26/04/25. https://doi.org/10.1145/3706599.3720317, conference