增强叙事:对读者参与度的估计

Proceedings of the 6th Augmented Human International Conference Pub Date : 2015-03-09 DOI:10.1145/2735711.2735814

K. Kunze, S. Sanchez, Tilman Dingler, Olivier Augereau, K. Kise, M. Inami, T. Terada

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引用次数: 17

摘要

我们提出了生物反馈驱动计算的概念来设计一个响应式叙事，它根据读者的体验而起作用。我们探讨了如何检测接触，并对不同传感器模式的有用性进行了评估。我们发现温度和眨眼频率是评估用户粘性的最佳方法，对于小用户样本量(5个用户)，可以准确区分用户粘性和非用户粘性。

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The augmented narrative: toward estimating reader engagement

We present the concept of bio-feedback driven computing to design a responsive narrative, which acts according to the readers experience. We explore on how to detect engagement and give our evaluation on the usefulness of different sensor modalities. We find temperature and blink frequency are best to estimate engagement and can classify engaging and non-engaging user-independent without error for a small user sample size (5 users).

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Proceedings of the 6th Augmented Human International Conference

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