拖车脑:低密度脑电图对社会议题纪录片观看的神经与行为分析

Jason Sherwin, C. Brenner, John S. Johnson
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引用次数: 0

摘要

社会议题纪录片的效果是多种多样的。特别是,金钱捐赠和在社交媒体上的宣传是具有公共后果的行为效应。相反,关于某个问题的信息搜集可能是私下进行的。我们设计了一个结合了自由观影和快速感知决策的实验,以模拟一个真实的场景,让不知情的电影观众面对,也就是说,决定他们会根据预告片借给电影多大程度的支持。对于一组拥有活跃视频流媒体(如Netflix)和社交媒体账户(如Facebook)的受试者,我们记录了他们的脑电图(EEG)和对社会问题纪录片预告片的行为反应。我们使用可靠成分分析(RCA)检查了脑电图,发现了多个观看对象和同一预告片给定观看对象之间的可靠性。我们在整个电影观看过程中捕获的脑电图以及超过5秒的电影片段中都发现了这种可靠性。观看预告片后的行为反应在第一次和第二次观看时并不一致。相反,支持选择都倾向于支持/不支持的极端,并且在第二次观看时更快做出选择。我们假设了可靠性行为指标之间的关系,并在此数据集中找到了可靠的证据。最后,我们发现我们可以适当地训练一个朴素的分类器,仅根据基于rca的指标对已观看电影的制作价值和叙事语音评级进行分类。综上所述,我们的研究结果表明,在与事后行为决策范式相结合的情况下,自由观看社会议题纪录片预告片时的脑电图成分可以为研究观看者在观看过程中的神经反应提供有用的工具。作者还讨论了该工具被制片人和电影制作人使用的可能性。
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Trailer Brain: Neural and Behavioral Analysis of Social Issue Documentary Viewing with Low-Density EEG
The effects of social issue documentaries are diverse. In particular, monetary donations and advocacy on social media are behavioral effects with public consequences. Conversely, information-seeking about an issue is potentially done in private. We designed a combined free-viewing and rapid perceptual decision-making experiment to simulate a real scenario confronted by otherwise uninformed movie-viewers, i.e., to determine what degree of support they will lend to a film based on its trailer. For a cohort of subjects with active video-streaming (e.g., Netflix) and social media accounts (e.g., Facebook), we recorded electroencephalography (EEG) and behavioral responses to trailers of social issue documentaries. We examined EEG using reliable component analysis (RCA), finding reliability within subjects across multiple viewings and across subjects within a given viewing of the same trailer. We found this reliability both over EEG captured from whole-movie viewing, as well as over 5-second movie segments. Behavioral responses following trailer viewing were not consistent from first to second viewings. Rather, support choices both tended towards extremes of support/non-support and were made faster upon second viewing. We hypothesized a relationship between reliability behavioral metrics, finding credible evidence for it in this dataset. Finally, we found that we could suitably train a naive classifier to categorize production value and narrative voice ratings given to the viewed movies from RCA-based metrics alone. In sum, our results show that EEG components during free-viewing of social issue documentary trailers can provide a useful tool to investigate viewers' neural responses during viewing, when coupled with a post hoc behavioral decision-making paradigm. The possibility of this tool being used by producers and filmmakers is also discussed.
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