Could vs Should: Exploring Prompting Strategies and Writer Perspectives Towards LLM Assistance in Storylet Authoring
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Le résumé fourni par la source
Large Language Models (LLMs) and procedural narrative practices have grown significantly over the past few years, but there are many questions about their newfound capabilities. In the context of video game narratives, some pre dominant questions involve whether LLMs could create content for interactive narratives, such as dialogue trees and dialogue. Alongside this idea, narrative design authors question whether we should use LLMs in practice. Extending our prior work from a 2024 IEEE CoG paper, we conducted two new studies to address both questions. The first study uses multiple content generation methods through an LLM to see if it can produce the required content for an interactive narrative. This content is put in a questionnaire for the secondary study and given to a group of experienced narrative designers to determine their opinions and concerns. We find that while LLMs hold some promise in their ability to create branching narratives, writers have concerns about utilizing them in their workflow
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Le contrôle bibliographique ouvert
DOI retrouvé dans Crossref DOI retrouvé ; titre concordant.
- Titre Crossref
- Could vs Should: Exploring Prompting Strategies and Writer Perspectives Towards LLM Assistance in Storylet Authoring
- Date Crossref
- 01/01/2025
- Éditeur
- Institute of Electrical and Electronics Engineers (IEEE)
- Type
- journal-article
Ce recoupement confirme des métadonnées liées au DOI. Il ne confirme ni la méthode ni les conclusions de l’étude, et il ne compte pas comme une seconde source scientifique indépendante.
Les institutions déclarées
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