手机会梦见电子羊吗?新一代移动用户的期望:与实践和研究的不匹配。

Paul B. Fox, Davar Rezania, J. Wareham, E. Christiaanse
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引用次数: 8

摘要

无处不在的计算是当技术成为我们生活中不可分割的一部分时的结果,但它是如此根深蒂固,以至于它消失了(Weiser, 1991)。虽然无处不在的计算代表了未来的愿景,但这一愿景尚未得到用户自己的证实。本文调查了一组年轻人对普适计算的未来期望,将这种期望与先前的研究进行了比较,并提出了一个扩展先前研究的理论模型。进行半结构化访谈;然后,根据扎根的理论方法对数据进行编码和组织(Glaser和Strauss, 1967),并与先前的理论进行比较。数据显示了四个主题:设备独立性、感知性、自动化和位置独立性。分析了这些主题之间的关系,并检查了与先前研究的差距。该研究的结论是,随着技术变得更加普及,决策变得更加自动化,即由设备/软件本身执行,无处不在的计算将需要一种新的交互形式。除了人与人和人对设备的交互之外,无处不在的计算或电子商务意味着设备对设备的交互水平的提高。这将要求用户的行为与传统商务、电子商务甚至移动商务不同。当用户得知自己的详细个人信息正在被收集,并且被软件“归类”时,他们会作何反应?此外,软件必须基于对情况的理解做出决策,但是如果这些决策是不合适的呢?用户需要什么样的干预才能适应这些自动化过程?如何用新的增值服务来补偿用户失去控制权的后果?为了探索这些问题并了解它们对未来技术发展和用户采用的影响,进一步的实证研究是必要的。
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Will Mobiles Dream of Electric Sheep? Expectations of the New Generation of Mobile Users: Misfits with Practice and Research.
Ubiquitous computing is the result when the technology becomes an inseparable part of our lives, but is so embedded that it disappears (Weiser, 1991). While ubiquitous computing represents a vision of the future, this vision has yet to be corroborated by the users themselves. This article investigates future expectations for ubiquitous computing according to a selection of young adults, compares this vision with prior research, and proposes a theoretical model which extends prior research. Semi-structured interviews were conducted; then the data was coded and organized according to a grounded theory approach (Glaser and Strauss, 1967), and compared with prior theory. Four overall themes emerged from the data: Device Independence, Awareness, Automation and Location Independence. The relationships between these themes were analyzed and gaps with prior research were examined. The study concludes that ubiquitous computing will require a new form of interaction as the technology becomes more pervasive and decision making becomes more automatic, that is, performed by the device/software itself. In addition to person-to-person and person-to- device interaction, ubiquitous computing, or u- commerce, means increased levels of device-to- device interaction. This will require different behaviors on the part of the user compared to that those in traditional commerce, e-commerce, and even m-commerce. How will users react to the idea that detailed personal information is being gathered about them, and that they are being "typified" by the software? Furthermore, the software must then make decisions based on its understanding of the situation, but what if these decisions are inappropriate? What types of intervention will the user require in order to feel comfortable with these automated processes? How can the user be compensated with new, value-added services for the resulting loss of control? Further empirical studies are necessary in order to explore these questions and understand their implications for future technology development and user adoption.
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