BioShare
BioShare
复制标题
生物共享
DOI：
10.1145/2598784.2602793
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发表时间：
2014
期刊：
影响因子：
--
通讯作者：
Curmi F
中科院分区：
文献类型：
--
作者：
Curmi F
通过社交网络共享心率等生物识别数据越来越受欢迎，因为Runkeeper、Azumio和Nike+等应用程序提供免费服务，允许用户在线共享这些数据。然而，关于共享这些非常个人化的数据的影响的研究是微不足道的。为了促进这一领域的研究，我们开发了BioShare;这是一个开源工具，旨在研究通过社交网络共享生物特征数据对网络及其参与者的影响。开发遵循一系列数据收集阶段，使用多方法方法捕获研究人员的要求。该实现提供了3个关键特性。一曰：它允许捕获生物测定和位置数据并将其共享到社交网络，2：它允许数据查看者实时地向数据共享用户发送反馈，以及3：它记录用户与系统的交互以用于实验后分析。BioShare是为适应性而设计的，它允许研究人员为不同的实验环境配置系统。该工具还提供了用于比较用户参与度的测量点，并向参与者控制组和实验组呈现不同的数据类型和可视化。
Sharing Biometric data such as heart rate over social networks is gaining popularity as applications such as Runkeeper, Azumio and Nike+ provide free services that allow users to share this data online. Yet research on the effects that sharing this very personal data has, is negligible. To facilitate research in this area we developed BioShare; an open source tool designed for researching the effect that sharing biometric data over social networks has on the network and its actors. The development follows a series of data collection phases using a multi-method approach for capturing researchers' requirements. The implementation provides 3 key features. 1: it allows the capturing and sharing of biometric and locative data to social networks, 2: it allows the data viewers to send feedback to the data-sharing users in real-time and 3: it logs the user interaction with the system for post-experiment analysis. BioShare is designed for adaptability such that it allows the researchers to configure the system for different experimental contexts. The tool also provides measurement points for comparing user engagement and present different data types and visualizations to participant control and experimental groups.