Wearables in the workplace: sensing interactions at the office

Wearables in the workplace: sensing interactions at the office
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工作场所中的可穿戴设备:感知办公室的互动

DOI:
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发表时间:
2003
期刊:
Seventh IEEE International Symposium on Wearable Computers, 2003. Proceedings.
影响因子:
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通讯作者:
A. Pentland
A. Pentland
中科院分区:
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文献类型:
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作者:
N. Eagle;A. Pentland

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可穿戴计算机,如PDA和手机,正在组织中激增。本文介绍了一种利用这种可穿戴基础设施来洞察组织的底层社会动态的方法。这项工作奠定了基础,将使各种应用程序,从知识管理到组织模拟。1.动机可穿戴计算基础设施已经在许多组织中固有。手持计算机,也称为个人数字助理(PDA),和移动的电话已经成为企业着装的标准部分。去年销售了超过1000万台PDA,它们的功能现在包括千兆字节的存储、无线连接和处理器,处理器的速度可与几年前的台式PC机相媲美。然而,这种可穿戴基础设施的利用率严重不足。尽管手持计算机具有新的功能,但大多数组织还没有超越PalmPilot模式,将设备限制在日历和记事本功能上。现在是组织开始利用其可穿戴计算基础架构的时候了。每年在知识管理和社交网络分析上花费数亿美元--两者都与面对面的互动密切相关,但目前通过调查和挖掘现有的企业数据库来量化。本文介绍了一个系统,利用现有的可穿戴基础设施来量化面对面的互动,使社交网络和知识管理应用程序,并希望,帮助组织变得更加开放和创造性。
Wearable computers, such as PDAs and cell phones, are proliferating in organizations. This paper introduces a methodology for leveraging this wearable infrastructure to provide insight to the underlying social dynamics of an organization. The work lays a foundation that will enable a variety of applications, from knowledge management to organizational simulation. 1. Motivation A wearable computing infrastructure is already inherent in many organizations. Handheld computers, otherwise known as Personal Digital Assistants (PDAs), and mobile phones have become a standard part of corporate attire. Over 10 million PDAs were sold last year, and their functionality now includes the potential for gigabytes of storage, wireless connectivity, and a processor with speeds comparable to those found in desktop PCs just a few years ago. However this wearable infrastructure is being severely underutilized. Despite the new capabilities of handheld computers, most organizations have not transcended the PalmPilot paradigm, constraining the devices to calendar and datebook functionality. It is time for organizations to begin harnessing their wearable computing infrastructure. Hundreds of millions of dollars are spent annually on knowledge management and social network analysis - both intimately connected with face-to-face interactions, but currently quantified through surveys and mining existing corporate data repositories. This paper introduces a system that leverages the existing wearable infrastructure to quantify face-to-face interactions, to enable social network and knowledge management applications, and hopefully, to help organizations become more open and creative.