Tech Papers 2022: This paper introduces SSEF, a framework to evaluate AI-generated stories based on structure, emotion, logic, and plausibility to improve audience engagement.
Abstract
Assessing the quality and relevance of the output of Natural Language Generation (NLG) systems is a challenge. It is difficult to assess empirically. The proposed preliminary Story and Script Evaluation Framework (SSEF) seeks to address this by combining qualitative and quantitative methods to evaluate AI-created material using four criteria – plotting codified story elements on Freytag’s Pyramid, measuring emotional connectedness and reactions, assessing if the created scenes or the story flows logically and determining how real or plausible the story is.
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