All the feels: designing a tool that reveals streamers' biometrics to spectators
All the feels: designing a tool that reveals streamers' biometrics to spectators
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所有的感觉：设计一个向观众展示主播生物识别信息的工具
DOI：
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发表时间：
2017
期刊：
影响因子：
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通讯作者：
Katherine Isbister
中科院分区：
文献类型：
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作者：
R. Robinson;Zachary Rubin;Elena Márquez Segura;Katherine Isbister
在这篇文章中，我们展示了All the Feel，这是一个工具，它在流行的视频游戏流媒体服务Twitch的界面上提供生物特征和网络摄像头派生数据的覆盖。这一覆盖提供了心率、皮肤电导和面部情感识别的可视化。旨在提升观众体验，改善观众与观众之间的联系。我们介绍了一项初步研究的结果，通过使用拖缆进行现场测试，调查了观众对引入该工具的反应。结合17名观众的调查回应，对这条溪流的分析表明，人们对这条溪流的享受增强了，并表明观众可能会感觉到更多与流线的联系。这项工作提供了机会，通过引入包括生物识别信号的界面来改善流媒体质量和观众参与度。
In this paper, we present All the Feels, a tool that provides an overlay of biometric and webcam-derived data onto the interface of the popular video game streaming service, Twitch. This overlay provides visualization of heart rate, skin conductance, and facial emotion recognition. It is intended to enhance the spectator experience and improve streamer-spectator connection. We present results of a preliminary study investigating spectator reactions to the introduction of this tool, via a live test with a streamer. Analysis of the stream combined with survey responses from 17 spectators indicates enhanced enjoyment of the stream, and suggests that spectators may feel more connected to the streamer. This work opens up opportunities to improve stream quality and spectator engagement through the introduction of an interface that includes biometric signals.