Improbotics：Exploring the Imitation Game Using Machine Intelligence in Improvised Theatre（即兴表演：在即兴剧院中使用机器智能探索模仿游戏）
Improbotics: Exploring the Imitation Game using Machine Intelligence in Improvised Theatre
摘要：
即兴表演（impro或improv）是一种要求很高的现场合作表演形式。即兴是一种幽默和好玩的艺术形式，建立在一个开放式的叙事结构，同时庆祝努力和失败。因此，它是开发和部署基于交互式人工智能（AI）的会话代理或人工即兴创作者的理想测试平台。本案例研究介绍了一个即兴表演实验，具有人类演员和人工即兴表演。我们之前开发了一种基于深度学习的人工即兴创作者，在电影字幕上进行训练，可以生成合理的，基于上下文的，适合戏剧的对话（Mathewson和Mirowski 2017）。在这项工作中，我们采用它来控制一个子集的人类演员说在即兴表演。我们还将人工生成的线条赋予不同的表演者子集。所有线路都提供给演员戴耳机，所有表演者都戴耳机。本文描述了一个图灵测试，或模仿游戏，发生在一个剧院，与观众和表演者都离开猜测谁是人，谁是机器。为了测试关于人类与机器感知的科学假设，我们收集了志愿者表演者和观众的匿名反馈。我们的研究结果表明，排练提高了熟练程度和可能性，以控制事件的表现。也就是说，与真实世界体验的一致性受到界面和用于执行节目的机制的限制。我们还表明，人类生成的线条更短，更积极，有更多的语法和拼写错误比人工即兴创作的线条更难的话。
英文摘要：
Theatrical improvisation (impro or improv) is a demanding form of live, collaborative performance. Improv is a humorous and playful artform built on an open-ended narrative structure which simultaneously celebrates effort and failure. It is thus an ideal test bed for the development and deployment of interactive artificial intelligence (AI)-based conversational agents, or artificial improvisors. This case study introduces an improv show experiment featuring human actors and artificial improvisors. We have previously developed a deep-learning-based artificial improvisor, trained on movie subtitles, that can generate plausible, context-based, lines of dialogue suitable for theatre (Mathewson and Mirowski 2017). In this work, we have employed it to control what a subset of human actors say during an improv performance. We also give human-generated lines to a different subset of performers. All lines are provided to actors with headphones and all performers are wearing headphones. This paper describes a Turing test, or imitation game, taking place in a theatre, with both the audience members and the performers left to guess who is a human and who is a machine. In order to test scientific hypotheses about the perception of humans versus machines we collect anonymous feedback from volunteer performers and audience members. Our results suggest that rehearsal increases proficiency and possibility to control events in the performance. That said, consistency with real world experience is limited by the interface and the mechanisms used to perform the show. We also show that human-generated lines are shorter, more positive, and have less difficult words with more grammar and spelling mistakes than the artificial improvisor generated lines.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
