论文标题
生理驱动的讲故事：概念和软件工具
Physiologically Driven Storytelling: Concept and Software Tool
论文作者
论文摘要
我们提出了生理驱动的讲故事，这是一种互动讲故事的新方法，叙事基于读者的生理状态而适应地展现。我们首先描述了分类法框架如何使用生理信号来驱动交互式系统作为输入和输出。然后，我们提出了互动讲故事的应用程序，并描述了创建生理互动小说（PIF）的软件工具的实现。在线研究的结果（n = 140）提供了增强阅读体验的指南。然后在实验室研究（n = 14）中评估PIF，以确定如何使用生理信号来推断读者的状态。我们的结果表明，呼吸，电肌活动和眼动态可以帮助区分正色，而单调与激动人心的事件”。这项工作表明，PIF如何支持讲故事，以创建为读者量身定制的引人入胜的内容和经验。此外，它为更广泛的应用领域内的生理驱动系统打开了空间。
We put forth Physiologically Driven Storytelling, a new approach to interactive storytelling where narratives adaptively unfold based on the reader's physiological state. We first describe a taxonomy framing how physiological signals can be used to drive interactive systems both as input and output. We then propose applications to interactive storytelling and describe the implementation of a software tool to create Physiological Interactive Fiction (PIF). The results of an online study (N=140) provided guidelines towards augmenting the reading experience. PIF was then evaluated in a lab study (N=14) to determine how physiological signals can be used to infer a reader's state. Our results show that breathing, electrodermal activity, and eye tracking can help differentiate positive from negative tones, and monotonous from exciting events. This work demonstrates how PIF can support storytelling in creating engaging content and experience tailored to the reader. Moreover, it opens the space to future physiologically driven systems within broader application areas.
