Tillman et al. (2017) used evidence-accumulation modeling to ascertain the effects of a conversation (either with a passenger or on a hands-free cell phone) on a drivers' mental workload. They found that a concurrent conversation increased the response threshold but did not alter the rate of evidence accumulation. However, this earlier research collapsed across speaking and listening components of a natural conversation, potentially masking any dynamic fluctuations associated with this dual-task combination. In the present study, a unique implementation of the detection response task was used to simultaneously measure the demands on the driver and the nondriver when they were speaking or when they were listening. We found that the natural ebb and flow of a conversation altered both the rate of evidence accumulation and the response threshold for drivers and nondrivers alike. The dynamic fluctuations in cognitive workload observed with this novel method illustrate how quickly the parameters of cognition are altered by real-time task demands. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

中文翻译：

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动态工作负载测量和建模：驾驶和交谈。

蒂尔曼等人。(2017) 使用证据积累模型来确定对话（无论是与乘客还是通过免提手机）对驾驶员心理负担的影响。他们发现，同时进行的对话提高了反应阈值，但没有改变证据积累的速度。然而，这项早期研究在自然对话的口语和听力部分中崩溃了，可能掩盖了与这种双任务组合相关的任何动态波动。在本研究中，使用检测响应任务的独特实现来同时测量驾驶员和非驾驶员在说话或听时的需求。我们发现，对话的自然起伏会改变证据积累的速度以及驾驶员和非驾驶员的反应阈值。用这种新颖方法观察到的认知工作量的动态波动说明了实时任务需求改变认知参数的速度有多快。（PsycInfo 数据库记录 (c) 2023 APA，保留所有权利）。