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自动模仿人类和计算机生成的声音刺激。

Automatic imitation of human and computer-generated vocal stimuli.

机构信息

Department of Speech, Hearing and Phonetic Sciences, University College London, London, WC1N 1PF, UK.

Department of Neural and Cognitive Sciences, New York University Shanghai, Shanghai, China.

出版信息

Psychon Bull Rev. 2023 Jun;30(3):1093-1102. doi: 10.3758/s13423-022-02218-6. Epub 2022 Nov 28.

Abstract

Observing someone perform an action automatically activates neural substrates associated with executing that action. This covert response, or automatic imitation, is measured behaviourally using the stimulus-response compatibility (SRC) task. In an SRC task, participants are presented with compatible and incompatible response-distractor pairings (e.g., an instruction to say "ba" paired with an audio recording of "da" as an example of an incompatible trial). Automatic imitation is measured as the difference in response times (RT) or accuracy between incompatible and compatible trials. Larger automatic imitation effects have been interpreted as a larger covert imitation response. Past results suggest that an action's biological status affects automatic imitation: Human-produced manual actions show enhanced automatic imitation effects compared with computer-generated actions. Per the integrated theory for language comprehension and production, action observation triggers a simulation process to recognize and interpret observed speech actions involving covert imitation. Human-generated actions are predicted to result in increased automatic imitation because the simulation process is predicted to engage more for actions produced by a speaker who is more similar to the listener. We conducted an online SRC task that presented participants with human and computer-generated speech stimuli to test this prediction. Participants responded faster to compatible than incompatible trials, showing an overall automatic imitation effect. Yet the human-generated and computer-generated vocal stimuli evoked similar automatic imitation effects. These results suggest that computer-generated speech stimuli evoke the same covert imitative response as human stimuli, thus rejecting predictions from the integrated theory of language comprehension and production.

摘要

观察他人执行动作会自动激活与执行该动作相关的神经基质。这种隐蔽的反应,即自动模仿,可以通过刺激-反应兼容性 (SRC) 任务进行行为测量。在 SRC 任务中,参与者会看到兼容和不兼容的反应-干扰对(例如,“ba”的指令与“da”的音频记录配对作为不兼容试验的示例)。自动模仿是通过不兼容和兼容试验之间的反应时间 (RT) 或准确性差异来衡量的。更大的自动模仿效应被解释为更大的隐蔽模仿反应。过去的研究结果表明,动作的生物状态会影响自动模仿:与计算机生成的动作相比,人类产生的手动动作表现出增强的自动模仿效应。根据语言理解和产生的综合理论,动作观察会触发模拟过程,以识别和解释涉及隐蔽模仿的观察到的言语动作。人类生成的动作预计会导致自动模仿增加,因为预测模拟过程会更频繁地用于由与听众更相似的说话者产生的动作。我们进行了一项在线 SRC 任务,向参与者呈现人类和计算机生成的语音刺激,以检验这一预测。与不兼容的试验相比,参与者对兼容的试验反应更快,表现出整体的自动模仿效应。然而,人类生成和计算机生成的语音刺激引发了相似的自动模仿效应。这些结果表明,计算机生成的语音刺激引发了与人类刺激相同的隐蔽模仿反应,从而拒绝了语言理解和产生的综合理论的预测。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f536/10264473/dd9c9eb99082/13423_2022_2218_Fig1_HTML.jpg

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