Predicting Subversion Impact in a Narratively Driven Quest

This thesis aimed to develop a methodology which can be used to quantify a narrative subversion’s memorability. The researcher formulated seven unique subversion categories: Action, Environment, Narrative, Betrayal, Genre, Stereotype and Pattern. The researcher created a single player video game level in Fallout 4. The researcher developed a quest incorporating seven subversions (two Action, two Environment, two Narrative, and one Betrayal). To evaluate each subversion, the researcher created a “subversion memorability” formula using four key variables (Impact, Severity, Time, and Number of Prior Subversions). The researcher then plotted the subversion memorability values on a line graph to examine whether the resulting curve aligned with the Three-Act Structure. The researcher then conducted playtests and asked participants to indicate the levels of impact and severity of each subversion. The researcher then plugged the response averages into the formula to calculate the true subversion memorability value of each individual subversion.

Publication Details

Journal
SMU Scholar (Southern Methodist University)
Published
2025-04-01
Primary Topic
Particle Accelerators and Free-Electron Lasers
Type
article
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article

Predicting Subversion Impact in a Narratively Driven Quest

SMU Scholar (Southern Methodist University)
Particle Accelerators and Free-Electron Lasers
article

Predicting Subversion Impact in a Narratively Driven Quest

article en

Abstract

This thesis aimed to develop a methodology which can be used to quantify a narrative subversion’s memorability. The researcher formulated seven unique subversion categories: Action, Environment, Narrative, Betrayal, Genre, Stereotype and Pattern. The researcher created a single player video game level in Fallout 4. The researcher developed a quest incorporating seven subversions (two Action, two Environment, two Narrative, and one Betrayal). To evaluate each subversion, the researcher created a “subversion memorability” formula using four key variables (Impact, Severity, Time, and Number of Prior Subversions). The researcher then plotted the subversion memorability values on a line graph to examine whether the resulting curve aligned with the Three-Act Structure. The researcher then conducted playtests and asked participants to indicate the levels of impact and severity of each subversion. The researcher then plugged the response averages into the formula to calculate the true subversion memorability value of each individual subversion.

SMU Scholar (Southern Methodist University)
Reduced inequalities
Openalex Percentile: Top 52%
Particle Accelerators and Free-Electron Lasers
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Predicting Subversion Impact in a Narratively Driven Quest · SMU Scholar (Southern Methodist University) (2025) | TGRS Research Map | TGRS