HCC: Medium: Improving collaboration in remote teams through tools to promote mutual understanding of nonverbal behavior

HCC:中:通过促进非语言行为相互理解的工具改善远程团队的协作

基本信息

  • 批准号:
    2212396
  • 负责人:
  • 金额:
    $ 120万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Standard Grant
  • 财政年份:
    2022
  • 资助国家:
    美国
  • 起止时间:
    2022-09-01 至 2026-08-31
  • 项目状态:
    未结题

项目摘要

Virtual teamwork is becoming increasingly common, especially with the increase in remote work. Distributed, virtual teams are often challenged by mismatches in social conventions, work styles, and conversational norms, which can lead to misunderstandings that negatively affect relationships among team members and the quality of group work. Many tools have been developed for remote teamwork, involving traditional email and text chat; video conferencing; and virtual, augmented, and mixed reality. These generally try to recreate the way people behave in face-to-face meetings. Rather than recreate face-to-face interactions, this project works to create environments that improve people’s abilities to collaborate remotely, taking into account how non-verbal communication works and unique qualities of the individuals that make up a team. The goal is to improve interactions both remotely and when teams may later meet in-person. This research will make it easier for people to participate remotely in virtual teams and reduce the need for travel. It will also provide tools to train youth in STEM, through workshops at the annual Expanding Your Horizons program for 7th-9th grade girls and the Cornell Research in Engineering Academy program for high school girls.This research draws on unique affordances of VR to create novel interventions that draw on nonverbal communication to help team members understand how best to produce and interpret each other’s behaviors within a particular teamwork context. Specifically, this project will (a) develop a basic understanding about how individual differences influence people's own nonverbal behaviors and interpretations thereof in face-to-face and VR settings; (b) employ an iterative design approach to develop novel VR techniques that modulate people's verbal and nonverbal behavior in VR, to help team members mutually accommodate each other's behaviors; (c) investigate how users prefer to use such tools to manage their own self-presentation, and how they prefer to receive feedback from their teammates; and (d) evaluate the effectiveness of these techniques through controlled laboratory studies, field studies of student project teams, and a naturalistic field study with an industry partner. This research develops design guidelines on how to represent behavior in order to improve collaboration, and techniques to transform behavior while preserving individual autonomy.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.
虚拟团队工作变得越来越普遍,尤其是随着远程工作的增加。分布式的虚拟团队通常会受到社会惯例,工作方式和对话规范的不匹配的挑战,这可能会导致误解,从而对团队成员之间的关系产生负面影响和小组工作的质量。为远程团队合作开发了许多工具,涉及传统的电子邮件和文本聊天;视频会议;和虚拟,增强和混合现实。这些通常试图重现人们在面对面的会议上的行为方式。该项目并没有重新创建面对面的互动,而是创造环境,以提高人们的能力远程协作,考虑到非语言交流的工作原理以及组成团队的个人的独特品质。目的是远程改善互动,何时团队可能会在面对面见面。这项研究将使人们更容易远程参与虚拟团队,并减少旅行的需求。它还将通过年度扩展您的7至9年级女孩的地平线计划和高中女生工程学院的康奈尔大学研究计划的研讨会来提供工具,以培训STEM中的青年。这项研究借鉴了VR的独特启动,以创建新颖的干预措施,以创建非言语交流,以帮助团队成员在特定的团队中最佳地制作和解释彼此的行为。具体而言,该项目将(a)对个人差异如何在面对面和VR环境中影响人们自己的非语言行为以及其解释的基本了解; (b)员工一种迭代设计方法,可以开发新颖的VR技术,该技术调节VR中人们的口头和非语言行为,以帮助团队成员相互适应彼此的行为; (c)调查用户如何使用此类工具来管理自己的自我陈述,以及他们希望如何从队友那里获得反馈; (d)通过对照实验室研究,学生项目团队的现场研究以及与行业合作伙伴进行自然主义现场研究来评估这些技术的有效性。这项研究开发设计指南有关如何代表行为以改善协作,并在保留个人自主权的同时改变行为的技术。该奖项反映了NSF的法定任务,并通过评估基金会的知识分子和更广泛的影响来审查标准。

项目成果

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Andrea Won其他文献

Andrea Won的其他文献

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{{ truncateString('Andrea Won', 18)}}的其他基金

EAGER: A Training Tool to Help Teachers Recognize and Reduce Bias in Their Classroom Behaviors and Increase Interpersonal Competence
EAGER:帮助教师认识和减少课堂行为偏见并提高人际交往能力的培训工具
  • 批准号:
    2234802
  • 财政年份:
    2022
  • 资助金额:
    $ 120万
  • 项目类别:
    Standard Grant

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基于管理市场和干预分工视角的消失中等企业:特征事实、内在机制和优化路径
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协作研究:SHF:中:通过自动重现错误报告中的故障来提高软件质量
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HCC: Medium: Improving data visualization and analysis tools to support reasoning about analysis assumptions
HCC:中:改进数据可视化和分析工具以支持分析假设的推理
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