Using Intensive Longitudinal Methods to Study Conversations as Dynamic Dyadic Systems

人们如何相互联系的最重要的方面之一是他们的谈话。来回的交流可以有很多功能，比如提供支持或鼓励，不同意别人，加深联系，影响别人，或者被影响。大多数人都认为对话很重要，但他们可能无法理解使对话变得重要的关键特征。对对话如何展开以及哪种沟通模式最重要的分析一直没有得到充分发展。然而，由美国国家科学基金会资助的研究开发了动态二元系统方法，该方法为研究人际对话和将互动模式与人际结果联系起来提供了分析工具。该项目通过两次会议提供广泛的培训，出版研究实例，以及开发在线和免费访问的教程，大大扩展了动态二元系统方法的可用性。第一次会议汇集了来自不同领域的研究人员，他们研究的主题将受益于分析二元对话的新方法。利用这些研究人员进行的研究数据，会议通过分析陌生人，同事，新婚夫妇或父母和孩子之间的面对面和数字互动，扩展了动态二元系统方法的适用性。第一次会议的项目为出版物提供了基础，展示了动态二元系统方法如何推动关于对话的新发现。第一次会议的产品，包括数据集，教程和报告，为第二次会议提供了材料，在第二次会议上，新技术被展示并与更广泛的学者观众分享。该项目通过贡献开源教程、免费软件上的统计建模代码和其他资源，利用一种新的方法来分析对话，所有这些都可以在网上获得，供广泛使用。该奖项反映了NSF的法定使命，并通过使用基金会的智力价值和更广泛的影响审查标准进行评估，被认为值得支持。

One of the most consequential aspects of how people relate to one another concerns their conversations. Back-and-forth exchanges can have many functions, such as providing support or encouragement, disagreeing with others, deepening connections, influencing others, or being influenced. Most people agree that conversations matter, but they may fail to understand the critical features that make conversations consequential. The analysis of how conversations unfold, and which communication patterns matter most, had been underdeveloped. However, research funded by the National Science Foundation developed the Dynamic Dyadic Systems approach, which provides analytic tools for studying interpersonal conversations and linking patterns of interaction to interpersonal outcomes. This project significantly expands the usability of a Dynamic Dyadic Systems approach by providing broad training through two conferences, the publication of research examples, and the development of online and freely accessible tutorials.The first conference brings together investigators from different fields who study topics that would benefit from new methods for analyzing dyadic conversations. Using data from studies conducted by these investigators, the conference expands the applicability of the Dynamic Dyadic Systems approach by analyzing face-to-face and digital interactions between strangers, co-workers, newlyweds, or parents and children. Projects from the first conference provide the basis for publications showcasing how the Dynamic Dyadic Systems approach can propel new discoveries about conversations. The products of the first conference, including data sets, tutorials, and reports, provide the materials for a second conference in which the novel techniques are demonstrated and shared with a broader audience of scholars. The project leverages a new approach to analyzing conversations by contributing open-source tutorials, code for statistical modeling on freely available software, and other resources, all of which are being made available online for broad use.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.