浙大刘涛研究员讲座录播

fnirs Hands On

Posted by Chen Rui Blog on June 26, 2020 | 阅读

浙江大学刘涛研究员讲座回放(2020年6月28日)

本文首发在个人博客上(7988888.xyz),此文章中所有链接均通过博客进行访问。

本文转载自崔旭老师博客,文章仅限传播学习使用,为近红外科学领域传播推荐,不用于其它行为。

image-20200613064632504

北京时间2020年6月28日周日上午11点,浙江大学的刘涛研究员,博士生导师, 将为大家讲解一篇商科领域的EEG文章。文章中提出的方法对近红外领域有很好的借鉴作用。同时,刘老师会结合他最近的一篇文章,讲一下类似的时间窗口方法可以帮助我们了解什么额外信息。

录播地址:

https://player.youku.com/embed/XNDczMDg5NzY1Ng==

文献如下:

Samuel B. Barnett, and Moran Cerf (2017), “A ticket for your thoughts: Method for predicting content recall and sales using neural similarity of moviegoers,” Journal of Consumer Research, 44(1), 160-181. Abstract: Skilled advertisers often cause a diverse set of consumers to feel similarly about their product. We present a method for measuring neural data to assess the degree of similarity between multiple brains experiencing the same advertisements, and we demonstrate that this similarity can predict important marketing outcomes. Since neural data can be sampled continuously throughout an experience and without effort and conscious reporting biases, our method offers a useful complement to measures requiring active evaluations, such as subjective ratings and willingnessto- pay (WTP) scores. As a case study, we use portable electroencephalography (EEG) systems to record the brain activity of 58 moviegoers in a commercial theater and then calculate the relative levels of neural similarity, cross-brain correlation (CBC), throughout 13 movie trailers. Our initial evidence suggests that CBC predicts future free recall of the movie trailers and population-level sales of the corresponding movies. Additionally, since there are potentially other (i.e., non-neural) sources of physiological similarity (e.g., basic arousal), we illustrate how to use other passive measures, such as cardiac, respiratory, and electrodermal activity levels, to reject alternative hypotheses. Moreover, we show how CBC can be used in conjunction with empirical content analysis (e.g., levels of visual and semantic complexity)


谢谢大家观看,如有帮助,来个喜欢或者关注吧!


本文作者:

博客地址 : Chen Rui Blog
知乎地址 : 知乎专栏
B站地址 : B站主页
书店地址 : 书店主页
简书地址 : 简书主页
CSDN地址 : csdn主页
学术导航 : 导航主页


版权声明:本文由 在 2020年06月26日发表。本博客文章作者为陈锐CR时均采用属于个人原创撰写,未经许可,禁止在任何媒介以任何形式复制、发行本文章,如需转载,请查看About联系方式,非商业转载请注明出处,不得用于商业目的。
文章题目及链接:《浙大刘涛研究员讲座录播》



☛您的打赏是我创作的动力☚


  相关文章:

「游客及非Github用户留言」:

%
UP
博客已运行