Nath Elizabeth C, Cannon Peter R, Philipp Michael C
School of Psychology, Massey University, Private Bag 11-222, Palmerston North, 4442, New Zealand.
Data Brief. 2020 Jan 11;29:105124. doi: 10.1016/j.dib.2020.105124. eCollection 2020 Apr.
This article describes a dataset of facial electromyography and subjective liking data from 70 New Zealand participants used in the study "An unfamiliar presence reduces facial disgust responses to food stimuli" by Nath, Cannon and Philipp [1]. Participants' facial muscle activity from zygomaticus major, corrugator supercilii, and levator labii superioris was recorded as they viewed and rated food images, and tasted samples of chocolate. Half of the participants were seated alone, and the other half was seated in the presence of the researcher. The data allows for investigations into the effect of social context on hedonic ratings and facial responses to food, and an exploration into the individual factors contributing to differences in facial reactivity. The data includes raw EMG files generated by Acqknowledge 4.2, raw subjective liking files generated by PsychoPy, a table of participant information, the food images stimuli, the PsychoPy code used for stimuli presentation, and the R scripts used to filter, aggregate and analyse the data.
本文描述了一个来自70名新西兰参与者的面部肌电图和主观喜好数据的数据集，该数据集用于Nath、Cannon和Philipp [1]进行的“陌生在场会降低面部对食物刺激的厌恶反应”研究。在参与者观看和评价食物图像以及品尝巧克力样品时，记录了他们来自颧大肌、皱眉肌和上唇提肌的面部肌肉活动。一半参与者独自就座，另一半在研究人员在场的情况下就座。这些数据有助于研究社会环境对享乐评分和面部对食物反应的影响，并探索导致面部反应性差异的个体因素。数据包括由Acqknowledge 4.2生成的原始肌电图文件、由PsychoPy生成的原始主观喜好文件、参与者信息表、食物图像刺激、用于刺激呈现的PsychoPy代码，以及用于过滤、汇总和分析数据的R脚本。
