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Interest as a Proxy of Engagement in News Reading: Spectral and Entropy Analyses of EEG Activity Patterns

机译:兴趣作为新闻阅读中的参与代理:EEG活动模式的光谱和熵分析

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Objective measurements of engagement are increasingly sought after by both the media industry and scholar communities to explain what drives people to consume audiovisual contents. However, engagement is a complex construct that, at the psychological level, has been mainly operationalised through indicators of attentional and emotional processes, often overlooking motivational factors. We claim that in the context of news consumption, motivation, operationalised as intrinsic interest for consuming a given content, needs to be factored in together with attentional and emotional processes. The present work provides an objective metric for motivation based on electroencephalographic (EEG) registration of users' neural activity, while they read sets of news pre-classified in terms of their potential interest. We focus on a metric that has been used as an indicator of the degree to which an item or event induces the motivation to approach or escape, the so called frontal alpha asymmetry (FAA). Moreover, in addition to the traditional approach to the analysis of EEG signals, we also introduce a more novel technique based on estimating the entropy of the signals. Results confirm that FAA is indeed a good proxy for objective monitoring of interest in media contents and that entropy analysis, although its interpretation in terms of information processing warrants further investigation, is also sensitive to the manipulation of interest, providing results that complement traditional power spectrum analysis.
机译:媒体行业和学者社区越来越多地追捧参与的客观测量,以解释驱使人们消耗视听内容的原因。然而,参与是一种复杂的构造,在心理学层面主要通过注意力和情绪过程的指标进行运作,通常忽略励志因素。我们声称,在新闻消费的背景下,需要与注意力和情感流程一起考虑作为消费给定内容的内在兴趣的动机。本工作提供了基于用户神经活动的脑电图(EEG)登记的动机的客观度量,而他们读取了在其潜在兴趣方面预先分类的新闻集。我们专注于被用作物品或事件诱导接近或逃逸动机的程度的指标的指标,所谓的额外α不对称(FAA)。此外,除了传统的脑电图分析的方法之外,还基于估计信号熵引入更新的技术。结果证实,FAA确实是对媒体内容的客观监测的良好代理,熵分析虽然其在信息处理权证的解释进一步调查,但对兴趣的操纵也敏感,提供补充传统功率谱的结果分析。

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