Eckert Mark A, Teubner-Rhodes Susan, Vaden Kenneth I
Department of Otolaryngology-Head and Neck Surgery, Medical University of South Carolina, Charleston, South Carolina, USA.
Ear Hear. 2016 Jul-Aug;37 Suppl 1(Suppl 1):101S-10S. doi: 10.1097/AUD.0000000000000300.
This review examines findings from functional neuroimaging studies of speech recognition in noise to provide a neural systems level explanation for the effort and fatigue that can be experienced during speech recognition in challenging listening conditions. Neuroimaging studies of speech recognition consistently demonstrate that challenging listening conditions engage neural systems that are used to monitor and optimize performance across a wide range of tasks. These systems appear to improve speech recognition in younger and older adults, but sustained engagement of these systems also appears to produce an experience of effort and fatigue that may affect the value of communication. When considered in the broader context of the neuroimaging and decision making literature, the speech recognition findings from functional imaging studies indicate that the expected value, or expected level of speech recognition given the difficulty of listening conditions, should be considered when measuring effort and fatigue. The authors propose that the behavioral economics or neuroeconomics of listening can provide a conceptual and experimental framework for understanding effort and fatigue that may have clinical significance.
本综述考察了噪声环境下语音识别功能神经影像学研究的结果,以便从神经系统层面解释在具有挑战性的聆听条件下进行语音识别时可能体验到的努力感和疲劳感。语音识别的神经影像学研究一致表明,具有挑战性的聆听条件会激活用于监测和优化广泛任务表现的神经系统。这些系统似乎能改善年轻人和老年人的语音识别,但这些系统的持续激活似乎也会产生努力感和疲劳感,而这可能会影响交流的价值。从神经影像学和决策制定文献的更广泛背景来看,功能成像研究的语音识别结果表明,在测量努力感和疲劳感时,应考虑给定聆听条件难度下的预期价值,即预期的语音识别水平。作者们提出,聆听的行为经济学或神经经济学可以为理解可能具有临床意义的努力感和疲劳感提供一个概念和实验框架。