Department of Psychology, Stanford University, Stanford, CA 93405.
Graduate School of Business, Stanford University, Stanford, CA 93405.
Proc Natl Acad Sci U S A. 2020 Mar 24;117(12):6936-6941. doi: 10.1073/pnas.1905178117. Epub 2020 Mar 9.
The growth of the internet has spawned new "attention markets," in which people devote increasing amounts of time to consuming online content, but the neurobehavioral mechanisms that drive engagement in these markets have yet to be elucidated. We used functional MRI (FMRI) to examine whether individuals' neural responses to videos could predict their choices to start and stop watching videos as well as whether group brain activity could forecast aggregate video view frequency and duration out of sample on the internet (i.e., on youtube.com). Brain activity during video onset predicted individual choice in several regions (i.e., increased activity in the nucleus accumbens [NAcc] and medial prefrontal cortex [MPFC] as well as decreased activity in the anterior insula [AIns]). Group activity during video onset in only a subset of these regions, however, forecasted both aggregate view frequency and duration (i.e., increased NAcc and decreased AIns)-and did so above and beyond conventional measures. These findings extend neuroforecasting theory and tools by revealing that activity in brain regions implicated in anticipatory affect at the onset of video viewing (but not initial choice) can forecast time allocation out of sample in an internet attention market.
互联网的发展催生了新的“注意力市场”,人们在这些市场中投入越来越多的时间来消费在线内容,但驱动人们参与这些市场的神经行为机制尚未阐明。我们使用功能磁共振成像(fMRI)来研究个体对视频的神经反应是否可以预测他们开始和停止观看视频的选择,以及群体大脑活动是否可以预测互联网(即 youtube.com 上)的视频总观看频率和时长。视频开始时的大脑活动可以预测个体的选择,在多个区域都有表现(即伏隔核[NAcc]和内侧前额叶皮层[MPFC]的活动增加,前岛叶[AIns]的活动减少)。然而,只有在这些区域的一部分中,视频开始时的群体活动可以预测总观看频率和时长(即 NAcc 增加,AIns 减少)——而且这种预测效果优于传统指标。这些发现通过揭示在视频观看开始时与预期情绪相关的大脑区域的活动(而不是初始选择)可以预测互联网注意力市场中的样本外时间分配,从而扩展了神经预测理论和工具。