Martín-Pascual Miguel Ángel, Andreu-Sánchez Celia, Delgado-García José María, Gruart Agnès
Neuro-Com Research Group, Universitat Autónoma de Barcelona; Instituto RTVE, Corporación Radio Televisión Española;
Neuro-Com Research Group, Universitat Autónoma de Barcelona.
J Vis Exp. 2018 May 26(135):57321. doi: 10.3791/57321.
This article explores a method to detect differences in visual perception in humans. The method used is based on the psychological (or "cognitive") function of eyeblinks. Participants' eyeblinks are detected and acquired while watching videos specifically created for the investigation. The detection and acquisition of eyeblinks are carried out with the help of a 20-channel electroencephalographic (EEG) wireless device. The international 10-20 system for electrode placement is followed. A high-definition (HD) video camera is used to record participants' facial expressions, for contrast purposes. Instead of using pre-existing media content, purpose-made video content has been created following specific criteria of interest for this investigation, with stimuli enabling researchers to manage the precise parameters of interest. Otherwise, results could be contaminated with uncontrolled variables. The synchronization of the presentation of video stimuli with EEG recordings needs to be done in milliseconds. Analysis of collected data is performed with robust software for working with big matrices. Statistically significant differences in eyeblink rate related to media professionalization and editing style are found with the reported experimental procedures.
本文探索了一种检测人类视觉感知差异的方法。所使用的方法基于眨眼的心理(或“认知”)功能。在参与者观看专门为该研究制作的视频时,检测并获取他们的眨眼情况。眨眼的检测和获取借助一台20通道脑电图(EEG)无线设备进行。电极放置遵循国际10 - 20系统。使用高清(HD)摄像机记录参与者的面部表情,用于对比。此次研究未使用现成的媒体内容,而是根据该研究感兴趣的特定标准制作了专门的视频内容,其刺激因素使研究人员能够掌控感兴趣的精确参数。否则,结果可能会受到未控制变量的影响。视频刺激呈现与EEG记录的同步需要精确到毫秒。使用强大的软件对收集的数据进行分析,该软件可处理大型矩阵。通过所报告的实验程序发现,与媒体专业化和编辑风格相关的眨眼率存在统计学上的显著差异。