Measuring player experience enhancement in an interactive procedural-adaptive storyworld

Jordan, Mikki Vitus Rasmus

4. term

Medialogy, Master

2021

2021-11-07

86

This thesis examines whether an interactive procedural-adaptive storyworld can enhance player experience without sacrificing authorial control. It proposes a framework that couples procedural content generation with adaptive, real-time storytelling: the system continuously evaluates game state from player behavior and interactions, infers meaning, encodes adaptive steering, and feeds it back to change the unfolding narrative. To mitigate the open-world narrative paradox, a space–time drama manager schedules events independently of fixed locations and times. A proof-of-concept demo was built and evaluated in a between-subjects study (n=3) comparing a linear, non-adaptive control condition with an interactive procedural-adaptive condition. A mean comparison suggests improved player experience in the adaptive condition; findings are preliminary given the very small sample.

Dette speciale undersøger, om en interaktiv, procedurelt-adaptiv storyworld kan forbedre spilleroplevelsen uden at gå på kompromis med forfatterkontrollen. Projektet foreslår en ramme, der kobler proceduriel indholdsgenerering med adaptiv realtidsfortælling, hvor spillet løbende evaluerer spiltilstanden ud fra spillerens adfærd og interaktioner, udleder mening, koder en adaptiv styring og føder den tilbage for at ændre historiens udvikling. For at afbøde det narrative paradoks i åbne verdener anvendes en rum‑tids drama­manager, der kan udløse begivenheder uafhængigt af konkrete steder og tidspunkter. En proof‑of‑concept‑demo blev udviklet og evalueret i et mellem‑emne‑studie (n=3) med en kontroltilstand (lineær, ikke‑adaptiv) og en forsøgs­tilstand (interaktiv, procedurelt‑adaptiv). En sammenligning af gennemsnit antyder en forbedret spilleroplevelse i den adaptive tilstand; resultaterne er dog foreløbige på grund af det lille datagrundlag.

[This apstract has been generated with the help of AI directly from the project full text]

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