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.
这是一个大规模的社会关系的形成和发展的研究,利用一个非常大的在线交友网站。 几十年来,心理学家一直在研究人际吸引力和社会关系。然而,关系的形成--吸引力和稳定关系之间的中介过程--却没有得到充分的研究。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;第二次约会的二人组(对)不会响应夫妇研究的招募电话,因为在这一点上,人们自己不知道他们是否会成为一对夫妇。了解什么导致成功的形成是理解成功关系的关键一步。这项研究将捕捉关系形成的早期阶段。通过跟踪沟通的二人组在见面之前,通过他们面对面的会议,并建立一种关系,研究人员将有机会在整个关系形成的关键但模糊的过程中获得他们对彼此的看法。在每一步中,一些二人组会解散--也就是说,有些人永远不会亲自见面,而那些人中,只有一小部分会形成关系--但通过从数十万人中抽取初始样本,研究将确保有一大批参与者会发展成一段成熟的关系。心理学家长期以来一直在寻找这种规模和范围的纵向数据,但直到现在还没有实用的方法来获得它。这项工作是社会心理学,人机交互和定量社会学领域的跨学科方法的结合。它将使用人格研究中的问卷调查技术,其结果将用统计方法进行分析,包括结构方程模型和事件历史分析。将根据统计分析的结果开发一个替代用户界面。随后将进行新一轮的问卷调查和分析,以确定干预措施的效果。这项研究将通过加深我们对一般关系形成过程的理解来推进科学知识,其规模足以广泛推广和统计强大。研究结果将为社会心理学中的几个重要问题提供新的线索,包括个性和态度相似性在长期关系满意度和成功中的作用,以及积极和真实的自我呈现之间的平衡。本研究也将有助于我们进一步了解以电脑为媒介的沟通对人际关系形成的影响。 对计算机媒介通信的人际兼容性的理解应该有助于改善许多领域的协作过程,包括学生在远程教育中的合作,并促进地理上分散的企业,政府和其他组织的团队形成。

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
Participant Evaluation of Blockchain-Enhanced Women’s Health Research Apps: Mixed Methods Experimental Study
区块链增强型女性健康研究应用的参与者评估:混合方法实验研究
  • DOI:
    10.2196/65747
  • 发表时间:
    2025-01-01
  • 期刊:
  • 影响因子:
    6.200
  • 作者:
    Madelena Y Ng;Jodi Halpern;Olivia Shane;Tina Teng;Michael Nguyễn;Casey Ryan Alt;Anaïs Barthe Leite;Sean Moss-Pultz;Courtney R Lyles;Coye Cheshire
  • 通讯作者:
    Coye Cheshire
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
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

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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