DHB: Large-Scale Analysis of Computer-Mediated Social Relationship

DHB:计算机介导的社会关系的大规模分析

基本信息

  • 批准号:
    0624356
  • 负责人:
  • 金额:
    --
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Standard Grant
  • 财政年份:
    2006
  • 资助国家:
    美国
  • 起止时间:
    2006-11-01 至 2010-10-31
  • 项目状态:
    已结题

项目摘要

This is a study of social relationship formation and development, on a massive scale, making use of a very large online personals website. For decades, psychologists have studied interpersonal attraction and social relationships. Yet relationship formation - the intervening process between attraction and a stable relationship - has been understudied. This is due in large part to the difficulty of recruiting study participants at this delicate stage; a dyad (pair) on a second date will not respond to a recruitment call for a couples study because, at that point, the people themselves do not know if they will become a couple. Understanding what leads to successful formation is a critical step in understanding successful relationships generally. The research will capture relationship formation at its early stages. By tracking communicating dyads before they meet in person, through their face-to-face meeting, and on to the establishment of a relationship, researchers will have access to their perceptions of each other throughout the crucial but ambiguous process of relationship formation. At each step, some dyads will dissolve - that is, some will never meet in person, and of those that do, only a fraction will form a relationship - but by taking an initial sample in the hundreds of thousands, the research will be assured of a large set of participants who do progress to a full-fledged relationship. Psychologists have long sought longitudinal data of this scale and scope but until now have had no practical way to obtain it.The work is an interdisciplinary combination of methods from the fields of social psychology, human-computer interaction, and quantitative sociology. It will use questionnaire techniques from personality studies, the results of which will be analyzed with statistical methods including structural equation models and event-history analysis. An alternative user interface will be developed on the basis of results of the statistical analyses. This will be followed by a new round of questionnaires and analysis to determine the effects of the intervention. The research will advance scientific knowledge by deepening our understanding of relationship formation processes in general, on a scale large enough to be broadly generalizable and statistically powerful. The results should shed new light on several important questions in social psychology, including the role of personality and attitudinal similarity in long-term relationship satisfaction and success, and the balance between positive and authentic self-presentation for relationship formation. This research will also contribute further to our understanding of the effects of computer-mediated communication on interpersonal relationship formation. An understanding of interpersonal compatibility over computer-mediated communication should help improve collaborative processes in many spheres, including students working together in distance education, and facilitate geographically dispersed team formation for businesses, government, and other organizations.
这是对社会关系形成和发展的研究,并使用了一个非常大的在线同性人网站。 几十年来,心理学家一直研究了人际关系和社会关系。然而,关系形成 - 吸引和稳定关系之间的中间过程 - 已经研究了。这在很大程度上是由于在这个微妙的阶段很难招募研究参与者。第二个约会的二元(对)不会对夫妻研究的招聘呼吁做出响应,因为那时人们自己不知道他们是否会成为一对夫妇。了解导致成功形成的是什么是一般理解成功关系的关键步骤。该研究将在早期阶段捕获关系形成。通过跟踪二元组在亲自见面,通过面对面的会议以及建立关系的交流,研究人员将在整个关键但模棱两可的建立过程中互相接触他们的看法。在每个步骤中,有些二元组都会溶解 - 也就是说,有些人永远不会亲自见面,而只有一部分的二元组会形成关系 - 但是,通过在成千上万的最初样本中进行最初的样本,将确保一大批参与者能够进步到成熟的关系。心理学家长期以来一直在寻求这种规模和范围的纵向数据,但到目前为止,还没有实用的方法来获取它。这项工作是社会心理学,人类计算机互动和定量社会学领域的方法的跨学科组合。它将使用人格研究中的问卷技术,其结果将通过包括结构方程模型和事件历史分析在内的统计方法进行分析。替代用户界面将根据统计分析的结果开发。随后将进行新的问卷和分析,以确定干预的影响。这项研究将通过加深对关系形成过程的理解加深,这是一个足够大的规模,可以广泛概括且统计上强大的规模。结果应该对社会心理学中的几个重要问题进行新的启示,包括人格和态度相似性在长期关系满意度和成功中的作用,以及关系形成的积极和真实的自我表达之间的平衡。这项研究还将进一步有助于我们理解计算机介导的沟通对人际关系形成的影响。 了解对计算机介导的沟通的人际关系兼容性应有助于改善许多领域的协作流程,包括在远程教育方面共同努力的学生,并促进为企业,政府和其他组织的地理分散的团队组成。

项目成果

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Coye Cheshire其他文献

Risky Business: Social Trust and Community in the Practice of Cybersecurity for Internet Infrastructure
风险业务:互联网基础设施网络安全实践中的社会信任和社区
CSCW and theSharing Economy: The Future of Platforms as Sites of Work Collaboration and Trust
CSCW 和共享经济:平台作为工作协作和信任场所的未来
Cooperativism and Human-Computer Interaction
合作主义与人机交互
Exchange and the Creation of Trust and Solidarity across Cultures
跨文化交流、建立信任与团结
  • DOI:
    10.1177/01902725221120806
  • 发表时间:
    2022
  • 期刊:
  • 影响因子:
    2.7
  • 作者:
    Sarah K. Harkness;Coye Cheshire;K. Cook;Cătălin Stoica;Bogdan State
  • 通讯作者:
    Bogdan State
“Out of My League”: A Real-World Test of the Matching Hypothesis
“Out of My League”:匹配假设的现实世界检验

Coye Cheshire的其他文献

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{{ truncateString('Coye Cheshire', 18)}}的其他基金

VOSS: Collaborative Research: Agency, Structure, and Organization: Paths to Participation in Large-Scale Socio-Technical Systems
VOSS:协作研究:机构、结构和组织:参与大规模社会技术系统的路径
  • 批准号:
    1322270
  • 财政年份:
    2014
  • 资助金额:
    --
  • 项目类别:
    Standard Grant
Collaborative Research; Exchange Network Transition: Uncertainty, Risk and Shifts in Mode of Exchange
合作研究;
  • 批准号:
    0617706
  • 财政年份:
    2006
  • 资助金额:
    --
  • 项目类别:
    Standard Grant

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