Neuroergonomics is an emerging field that investigates the human brain about behavioral performance in natural environments and everyday settings. This study investigated the body and brain activity correlates of a typical daily activity, hot beverage preparation, and consumption in a realistic office environment where participants performed natural daily tasks. Using wearable, battery operated and wireless Electroencephalogram (EEG) and Electrodermal activity (EDA) sensors, neural and physiological responses were measured in untethered, freely moving participants who prepared hot beverages using two different machines (a market leader and follower as determined by annual US sales). They later consumed the drinks they had prepared in three blocks. Emotional valence was estimated using frontal asymmetry in EEG alpha band power and emotional arousal was estimated from EDA tonic and phasic activity. Results from 26 participants showed that the market-leading coffee machine was more efficient to use based on self-reports, behavioral performance measures, and there were significant within-subject differences in valence between the two machine use. Moreover, the market leader user interface led to greater self-reported product preference, which was further supported by significant differences in measured arousal and valence (EDA and EEG, respectively) during coffee production and consumption. This is the first study that uses a multimodal and comprehensive assessment of coffee machine use and beverage consumption in a naturalistic work environment. Approaches described in this study can be adapted in the future to other task-specific machine usability and consumer neuroscience studies.

中文翻译：

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热饮制备和消费的神经工效学评估：脑电图和 EDA 研究


神经人体工程学是一个新兴领域，研究人类大脑在自然环境和日常环境中的行为表现。这项研究调查了参与者在现实办公环境中执行自然日常任务的典型日常活动、热饮制备和消费的身体和大脑活动的相关性。使用可穿戴、电池供电、无线脑电图 (EEG) 和皮电活动 (EDA) 传感器，测量不受束缚、自由活动的参与者的神经和生理反应，这些参与者使用两种不同的机器（根据美国年度报告确定的市场领导者和追随者）准备热饮。销售量）。随后，他们分三块喝完了准备好的饮料。使用脑电图α带功率中的额叶不对称性来估计情绪价，并根据EDA强直和阶段性活动来估计情绪唤醒。 26 名参与者的结果表明，根据自我报告、行为表现测量，市场领先的咖啡机使用效率更高，并且两台机器使用之间的效价存在显着的受试者内差异。此外，市场领先的用户界面导致了更大的自我报告的产品偏好，这进一步得到了咖啡生产和消费过程中测量的唤醒和效价（分别为 EDA 和 EEG）的显着差异的支持。这是第一项在自然工作环境中对咖啡机使用和饮料消耗进行多模式综合评估的研究。本研究中描述的方法将来可以适用于其他特定任务的机器可用性和消费者神经科学研究。