본문 바로가기
  • Home

The Evolution of the Mystery Genre as a Digital Game and the Game of Inference - Focusing on Uncover the Smoking Gun and the Integration of Generative AI

  • Journal of Popular Narrative
  • 2026, 32(1), pp.11~48
  • DOI : 10.18856/jpn.2026.32.1.001
  • Publisher : The Association of Popular Narrative
  • Research Area : Interdisciplinary Studies > Interdisciplinary Research
  • Received : January 10, 2026
  • Accepted : February 14, 2026
  • Published : February 28, 2026

Park, Inseong 1

1부산가톨릭대학교

Accredited

ABSTRACT

This study examines the evolution of the mystery genre within digital games and analyzes the paradigmatic shift in narrative structure brought about by the integration of Generative AI. Traditionally, script-based mystery games followed linear structures that limited player reasoning to searching for predetermined “correct” paths within fixed clue trees. However, cases like Uncover the SMOKING GUN, which utilize Large Language Models (LLM), transform narratives from static databases into probabilistic latent spaces, expanding the act of deduction into real-time rhetorical interaction. This paper defines the linguistic interaction emerging from this process as Process Language and analyzes it through the lens of literary generation. Players are elevated from mere detectives finding culprits to collaborative creators and Transversal Subjects who perform critical judgments while filling narrative gaps through dialogue with AI. This research clarifies how the process of prompt engineering expands narrative volume and sublimates deduction into a literary experience. Ultimately, this study suggests that Generative AI mystery games are reconstructing the essence of the shonkaku (authentic) mystery genre in the digital environment through an evolution from “reading mysteries” to “writing (dialogical) mysteries.”

Citation status

* References for papers published after 2024 are currently being built.