How Players Speak to an Intelligent Game Character Using Natural Language Messages
How Players Speak to an Intelligent Game Character Using Natural Language Messages
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玩家如何使用自然语言消息与智能游戏角色对话
DOI：
10.26503/todigra.v4i2.88
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发表时间：
2018
期刊：
影响因子：
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通讯作者：
Katja Hofmann
中科院分区：
文献类型：
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作者：
Fraser Allison;E. Luger;Katja Hofmann
直接从人类输入学习的人工智能驱动的角色在数字游戏中很少见，但机器学习的几个领域的最新进展表明，它们可能很快就会变得更可行。本研究通过自然语言文本对话探索与这样一个角色互动的设计空间。我们对18名高中生进行了一项观察性研究，他们在绿野仙踪的原型旁边玩《我的世界》，这个原型是从他们的动作和输入中学习的。在这篇文章中，我们报告了对玩家发送给角色的186条自然语言信息的分析，并审查了句法、功能和写作风格的关键变化。我们发现，玩家的行为和语言是根据他们对AI角色表达拟人化观点的程度以及他们在与之互动时表现出的兴趣水平来区分的。
AI-driven characters that learn directly from human input are rare in digital games, but recent advances in several fields of machine learning suggests that they may soon be much more feasible to create. This study explores the design space for interacting with such a character through natural language text dialogue. We conducted an observational study with 18 high school students, who played Minecraft alongside a Wizard of Oz prototype of a companion AI character that learned from their actions and inputs. In this paper, we report on an analysis of the 186 natural language messages that players sent to the character, and review key variations in syntax, function and writing style. We find that players’ behaviour and language was differentiated by the extent to which they expressed an anthropomorphic view of the AI character and the level of interest that they showed in interacting with it.