EAGER: Extreme Ethnography: When Content and Tools Change Continually on Vast Scales, How Must Our Research Methods Change

EAGER：极端民族志：当内容和工具不断大规模变化时，我们的研究方法必须如何改变

• 批准号: 1019993
• 负责人: Jennifer Preece
• 金额: $ 23.66万
• 依托单位: University of Maryland, College Park
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2010
• 资助国家: 美国
• 起止时间: 2010-11-01 至 2013-10-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1019993&HistoricalAwards=false
• 关键词: EAGER; Extreme; Ethnography; When; Content

In the new era of distributed online spaces it is no longer sufficient to look at human behavior just on local servers and storage sites. From exploring on-line videos to searching vast information spaces with keyword search interfaces, the information scope and societal impact have changed. HCI researchers therefore need new strategies to study, respond, and adapt to changing circumstances as the context for research changes. Quantitative methods such as social network analysis (SNA) and surveys are appropriate techniques for addressing some research questions in some types of online social spaces, but they have limitations. For some studies, qualitative methods, specifically applied ethnography, may offer the only way to deeply understand users' behavior, intentions and feelings within the social-digital ecology of the Web. The goal of this research is to examine the issues that researchers encounter when attempting to understand diverse types of behavior in large online spaces using ethnographic approaches. To accomplish we will conduct a two-stage study. Stage 1 will produce a meta-analysis of current research literature on YouTube, Facebook, Twitter, Wikipedia and other large-scale social systems, and on keyword search interfaces, to identify the methods that were used by researchers, under what assumptions, and which outcomes these studies reported. Stage 2 will produce a grounded theory analysis of case studies of how a sample of HCI researchers do qualitative research, particularly ethnography, in these vast and changing information spaces.

在分布式在线空间的新时代，仅仅在本地服务器和存储站点上查看人类行为已经不够了。从探索在线视频到使用关键字搜索界面搜索巨大的信息空间，信息范围和社会影响已经发生了变化。 因此，HCI研究人员需要新的策略来研究，应对和适应不断变化的环境，因为研究的背景变化。社会网络分析（SNA）和调查等定量方法是解决某些类型的在线社交空间中某些研究问题的适当技术，但它们有局限性。对于一些研究，定性的方法，特别是应用民族志，可能提供了深入了解用户的行为，意图和感受在网络的社会数字生态的唯一途径。 本研究的目的是探讨研究人员在试图使用人种学方法理解大型在线空间中不同类型的行为时遇到的问题。为此，我们将进行两个阶段的研究。第一阶段将对YouTube、Facebook、Twitter、维基百科和其他大型社交系统以及关键词搜索界面上的现有研究文献进行荟萃分析，以确定研究人员使用的方法、假设条件以及这些研究报告的结果。第二阶段将产生一个扎根的理论分析的案例研究的样本HCI研究人员如何做定性研究，特别是民族志，在这些巨大的和不断变化的信息空间。