Exploring the Use of Biometric Readings to Predict Levels of Viewer Engagement

Co Mary Josephine; Pesigan Ivan Jacod A.; Rodrigo Ma. Mercedes T.

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Exploring the Use of Biometric Readings to Predict Levels of Viewer Engagement

机译：探索使用生物识别读数来预测观众参与度

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This paper describes the use of biometrics readings, specifically electrodermal activity (EDA) and body temperature, to predict levels of video viewer engagement. Test subjects were asked to watch a series of video clips of different types. We collected their EDA and temperatures while they were watching clips using the Affectiva Q sensor. After each clip, they were asked to rate how engaging they found the video. We then created a linear model that predicted their ratings. Unfortunately, the model was not significant. Subsequent statistical tests on the data showed no significant difference in EDA and temperature among the different levels of engagement. The experiences documented in this paper may serve as experiment design notes for researchers who intend to conduct similar studies.

机译：本文介绍了如何使用生物识别读数（特别是皮肤电活动（EDA）和体温）来预测视频观众的参与程度。要求测试对象观看一系列不同类型的视频片段。当他们使用Affectiva Q传感器观看剪辑时，我们收集了他们的EDA和温度。在每个剪辑之后，要求他们对他们发现视频的吸引力进行评分。然后，我们创建了一个线性模型来预测其收视率。不幸的是，该模型并不重要。随后对数据进行的统计测试表明，不同参与程度之间的EDA和温度没有显着差异。本文中记录的经验可以作为打算进行类似研究的研究人员的实验设计说明。

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《Philippine Information Technology》 |2014年第2期|共页
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Co Mary Josephine; Pesigan Ivan Jacod A.; Rodrigo Ma. Mercedes T.;
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Exploring the Use of Biometric Readings to Predict Levels of Viewer Engagement

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