Automation not automatically good in mobile social applications

S. Vihavainen, Antti Oulasvirta, R. Sarvas
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Abstract

Social interaction is increasingly computer mediated. Part of the mediated interaction is being automated by the technology used, especially in mobile phone technology. Human factors research has shown that automation is a mixed blessing. It changes the role of the human in the loop with effects on understanding, control, skill, vigilance, and ultimately trust and usefulness. The question we want to raise is: What are the implications of increasing automation in mobile social applications? Jaiku, a mobile awareness service, automates disclosure and diffusion of location metadata, and ZoneTag, a photo-uploading program, automates and suggests metadata associated with images. We discuss alternative models of automation in these systems and present a study of three user groups in Finland and California using Jaiku and ZoneTag. The results reveal issues related to control, understanding, emergent practices, and privacy. We discuss the potentials and limitations of automated solutions in this context and discuss about the need for further research on automation in mobile social applications.
在移动社交应用中,自动化并不总是好的
社会互动越来越多地以计算机为媒介。部分中介互动正在被所使用的技术自动化,特别是在移动电话技术中。人为因素研究表明,自动化有利有弊。它改变了人类在这个循环中的角色,对理解、控制、技能、警惕以及最终的信任和有用性产生了影响。我们想要提出的问题是:在移动社交应用中增加自动化意味着什么?Jaiku是一个移动感知服务,可以自动披露和传播位置元数据,ZoneTag是一个照片上传程序,可以自动提供与图像相关的元数据。我们讨论了这些系统中的自动化替代模型,并使用Jaiku和ZoneTag对芬兰和加利福尼亚的三个用户组进行了研究。结果揭示了与控制、理解、紧急实践和隐私相关的问题。在此背景下,我们讨论了自动化解决方案的潜力和局限性,并讨论了在移动社交应用中进一步研究自动化的必要性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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