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相关概念视频

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The Stereotype Content Model (SCM) was first proposed by Susan Fiske and her colleagues (Fiske, Cuddy, Glick & Xu, 2002; see also Fiske, 2012 and Fiske, 2017). The SCM specifies that when someone encounters a new group, they will stereotype them based on two metrics: warmth—or that group’s perceived intent, and how likely they are to provide help or inflict harm—and competence—or their ability to carry out that objective. Depending on the warmth-competence...
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通过人形机器人评估语音内语音感知.

Luke Meyer1,2, Gloria Araiza-Illan1,2, Laura Rachman1,2,3

  • 1Department of Otorhinolaryngology/Head and Neck Surgery, University Medical Center Groningen, University of Groningen, Groningen, Netherlands.

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概括

使用NAO机器人进行语音感知测试显示了与计算机相似的可理解性,但需要更长的时间. 参与者对机器人更有兴趣,这表明它有可能用于心理物理测试.

关键词:
这是一个NAO机器人.人与机器人的互动.心理物理测试 测试 心理物理测试语音掩饰是一种言语掩饰.语音 感知 语音 感知

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科学领域:

  • 听觉神经科学 听觉神经科学
  • 人与计算机的交互
  • 机器人技术 机器人技术 机器人技术

背景情况:

  • 在杂的环境中调查语音感知通常需要长时间的心理物理测试.
  • 交互式社会代理,如NAO机器人,可以在这些测试期间提高参与度.
  • 然而,机器人可能在声音质量和处理速度方面存在局限性.

研究的目的:

  • 评估NAO机器人在呈现语音刺激和收集语音感知测试数据方面的有效性.
  • 将NAO机器人的性能与标准计算机接口进行比较.
  • 在心理物理测试期间评估人机交互和参与.

主要方法:

  • 听力正常的成年人使用计算机或NAO机器人完成了语音感知测试.
  • 刺激包括具有关键词的目标句子,在不同的信号噪音比率的竞争性语音中.
  • 测量了语音可理解性,数据收集时间和人机交互 (使用NARS和后台通道).

主要成果:

  • 在计算机和NAO设置之间,语音可理解性是可比的.
  • 在NAO机器人中,数据收集时间更长.
  • 参与者对NAO机器人表现出更高的参与度,更多的后台道表明了这一点,尽管他们对机器人的社会影响持中立态度.

结论:

  • 纳奥机器人显示出作为一种工具的潜力,用于呈现语音材料并收集用于语音内语音感知的心理物理数据.
  • 虽然数据收集的持续时间较长,但增加的参与表明某些测试场景的好处.
  • 进一步的研究可以探索优化机器人参数,以实现高效和有效的心理物理测试.