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Multi-Disciplinary Paths to Actor-Centric Non-Player Character Emotion Models

Multi-Disciplinary Paths to Actor-Centric Non-Player Character Emotion Models
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Author(s): Sheldon Schiffer (Georgia State University, USA)
Copyright: 2021
Pages: 26
Source title: Bridging the Gap Between AI, Cognitive Science, and Narratology With Narrative Generation
Source Author(s)/Editor(s): Takashi Ogata (Iwate Prefectural University, Japan)and Jumpei Ono (Aomori University, Japan)
DOI: 10.4018/978-1-7998-4864-6.ch002

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Abstract

Video game non-player characters (NPCs) are a type of agent that often inherits emotion models and functions from ancestor virtual agents. Few emotion models have been designed for NPCs explicitly, and therefore do not approach the expressive possibilities available to live-action performing actors nor hand-crafted animated characters. With distinct perspectives on emotion generation from multiple fields within narratology and computational cognitive psychology, the architecture of NPC emotion systems can reflect the theories and practices of performing artists. This chapter argues that the deployment of virtual agent emotion models applied to NPCs can constrain the performative aesthetic properties of NPCs. An actor-centric emotion model can accommodate creative processes for actors and may reveal what features emotion model architectures should have that are most useful for contemporary game production of photorealistic NPCs that achieve cinematic acting styles and robust narrative design.

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