论文标题
阅读房间：将机器人的声音适应环境和社会环境
Read the Room: Adapting a Robot's Voice to Ambient and Social Contexts
论文作者
论文摘要
机器人应该如何以正式，安静和黑暗的方式讲话，或者是一个明亮，活泼和嘈杂的环境？通过设计机器人以更社交和环境的方式讲话，我们可以提高对这些代理商的感知意识和智慧。我们描述了一个过程和结果，以选择机器人语音风格，以了解社会适当性和氛围意识。由于人类在野外的语音捕获困难中，了解人类如何在不同的声学环境中适应自己的声音可能具有挑战性。我们的方法包括3个步骤：（a）在虚拟Zoom Ambiances中收集和验证语音数据交互，（b）探索和聚类人类声音以识别主要的语音样式，以及（c）使用投影，照明和声音在重新创建的Ambiance中测试重新设计的Ambiance的机器人语音样式。我们专注于餐饮场景作为概念验证环境。我们使用带有不同样式的胡椒机器人的声音来提供结果，以适当和适应性的方式说话的机器人。我们与n = 120名参与者的结果提供了证据表明，不同的Ambiances语音风格的选择影响了机器人在几个因素中的感知智能，包括：社会适当性，舒适性，意识，人性化和能力。
How should a robot speak in a formal, quiet and dark, or a bright, lively and noisy environment? By designing robots to speak in a more social and ambient-appropriate manner we can improve perceived awareness and intelligence for these agents. We describe a process and results toward selecting robot voice styles for perceived social appropriateness and ambiance awareness. Understanding how humans adapt their voices in different acoustic settings can be challenging due to difficulties in voice capture in the wild. Our approach includes 3 steps: (a) Collecting and validating voice data interactions in virtual Zoom ambiances, (b) Exploration and clustering human vocal utterances to identify primary voice styles, and (c) Testing robot voice styles in recreated ambiances using projections, lighting and sound. We focus on food service scenarios as a proof-of-concept setting. We provide results using the Pepper robot's voice with different styles, towards robots that speak in a contextually appropriate and adaptive manner. Our results with N=120 participants provide evidence that the choice of voice style in different ambiances impacted a robot's perceived intelligence in several factors including: social appropriateness, comfort, awareness, human-likeness and competency.
