Collaborative Research:FW-HTF-P: The Future of Virtual Teams: Enhancing Collaborative Creativity and Socio-cognitive wellbeing in Video-based Teams

协作研究:FW-HTF-P:虚拟团队的未来:增强基于视频的团队的协作创造力和社会认知福祉

基本信息

  • 批准号:
    2222795
  • 负责人:
  • 金额:
    $ 5.12万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Standard Grant
  • 财政年份:
    2023
  • 资助国家:
    美国
  • 起止时间:
    2023-01-01 至 2024-08-31
  • 项目状态:
    已结题

项目摘要

The emergence of novel virtual technologies is enabling a new era of connection between humans at a global level. This has led to a new wave of growth in the popularity of video-based teams, and it has become essential to develop productive, successful, and healthy human interactions using smart devices. Additionally, the migration to digital platforms that is further spurred by the COVID-19 pandemic has increased barriers to interactions, diversity, and inclusion. Due to the strong likelihood that videoconferencing (and thus virtual meetings) will continue for a long time after the pandemic ends, there is a need to develop more inclusive and equitable environments that support productivity and collaborative creativity in diverse virtual team contexts. The project will design a novel Smart Meeting Assistant (SMA) as a transformative solution to efficiently enhance video-based team innovation. The high-level goal of SMA will be to facilitate objectives such as: (i) collaborative creativity; (ii) convergent thinking by clustering of ideas from similar topics; (iii) feasibility of generated ideas through video-based meetings; (iv) reducing bias in video-based teams. The project team includes researchers from a rural-serving institution and a Hispanic-serving institution in Texas, and a mid-sized public institution in Colorado. Participants of pilot studies include students from diverse backgrounds and workers from real-world settings. This interdisciplinary project will use a mixed methodological approach to examine human interactions and features of virtual-meeting platforms that influence user’s social and cognitive wellbeing. Design of SMA paves the path for bringing the recent advances in deep learning and data analytics, supported by psychological sciences with a strong focus on human factors and ergonomics, to design virtual sociotechnical systems facilitating collaborative innovation without jeopardizing the social and cognitive wellbeing of video-based teams. First, the project team will develop a broader understanding of how people perceive creativity, wellbeing, and equity during virtual group interactions. Subsequently, an expanded pilot study will explore ways in which fundamental meeting features (e.g., speaking time, duration of meeting) and socio-cognitive variables (e.g., degree of knowledge sharing, satisfaction) statistically interact to predict collaborative creativity, wellbeing, and equity in diverse (gender and multicultural) video-based teams. Finally, the research team will carry out the foundational work to design a social-cognitive training module assisted by a Smart Meeting Assistant to facilitate collaborative creativity, wellbeing, and equity in the video-based environment.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.
新型虚拟技术的出现正在开启全球范围内人与人之间联系的新时代。这引发了基于视频的团队的新一波增长,并且使用智能设备开发高效、成功和健康的人际互动已变得至关重要。此外,COVID-19 大流行进一步推动向数字平台的迁移,增加了互动、多样性和包容性的障碍。由于视频会议(以及虚拟会议)在大流行结束后很可能会持续很长一段时间,因此需要开发更具包容性和公平的环境,以支持不同虚拟团队环境中的生产力和协作创造力。该项目将设计一种新颖的智能会议助手(SMA)作为变革性解决方案,以有效增强基于视频的团队创新。 SMA 的高级目标将是促进以下目标:(i) 协作创造力; (ii) 通过对相似主题的想法进行聚合来进行聚合思维; (iii) 通过视频会议产生想法的可行性; (iv) 减少视频团队中的偏见。该项目团队包括来自德克萨斯州一家农村服务机构和一家西班牙裔服务机构以及科罗拉多州一家中型公共机构的研究人员。试点研究的参与者包括来自不同背景的学生和来自现实世界的工人。这个跨学科项目将使用混合方法来研究影响用户社交和认知健康的人机交互和虚拟会议平台的功能。 SMA 的设计为引入深度学习和数据分析的最新进展铺平了道路,在心理科学的支持下,重点关注人为因素和人体工程学,设计虚拟社会技术系统,促进协作创新,而不损害基于视频的团队的社交和认知福祉。首先,项目团队将更广泛地了解人们在虚拟团体互动中如何看待创造力、幸福感和公平性。随后,一项扩大的试点研究将探索基本会议特征(例如,演讲时间、会议持续时间)和社会认知变量(例如,知识共享程度、满意度)在统计上相互作用的方式,以预测多元化(性别和多元文化)视频团队中的协作创造力、福祉和公平性。最后,研究团队将开展基础工作,设计一个由智能会议助手协助的社会认知培训模块,以促进基于视频的环境中的协作创造力、福祉和公平性。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。

项目成果

期刊论文数量(1)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Jugal Kalita其他文献

Explainable AI: XAI-guided context-aware data augmentation
可解释人工智能:XAI 引导的上下文感知数据增强
  • DOI:
    10.1016/j.eswa.2025.128364
  • 发表时间:
    2025-09-15
  • 期刊:
  • 影响因子:
    7.500
  • 作者:
    Melkamu Abay Mersha;Mesay Gemeda Yigezu;Atnafu Lambebo Tonja;Hassan Shakil;Samer Iskander;Olga Kolesnikova;Jugal Kalita
  • 通讯作者:
    Jugal Kalita
A survey of malware detection using deep learning
  • DOI:
    10.1016/j.mlwa.2024.100546
  • 发表时间:
    2024-06-01
  • 期刊:
  • 影响因子:
  • 作者:
    Ahmed Bensaoud;Jugal Kalita;Mahmoud Bensaoud
  • 通讯作者:
    Mahmoud Bensaoud
Evaluating the effectiveness of XAI techniques for encoder-based language models
评估用于基于编码器的语言模型的可解释人工智能(XAI)技术的有效性
  • DOI:
    10.1016/j.knosys.2025.113042
  • 发表时间:
    2025-02-15
  • 期刊:
  • 影响因子:
    7.600
  • 作者:
    Melkamu Abay Mersha;Mesay Gemeda Yigezu;Jugal Kalita
  • 通讯作者:
    Jugal Kalita
Analyzing hope speech from psycholinguistic and emotional perspectives
  • DOI:
    10.1038/s41598-024-74630-y
  • 发表时间:
    2024-10-09
  • 期刊:
  • 影响因子:
    3.900
  • 作者:
    Muhammad Arif;Moein Shahiki Tash;Ainaz Jamshidi;Fida Ullah;Iqra Ameer;Jugal Kalita;Alexander Gelbukh;Fazlourrahman Balouchzahi
  • 通讯作者:
    Fazlourrahman Balouchzahi
Neural network translations for building SentiWordNets
  • DOI:
    10.1007/s10844-024-00911-7
  • 发表时间:
    2025-01-24
  • 期刊:
  • 影响因子:
    3.400
  • 作者:
    Khang Nhut Lam;Trung Phuong Le;Khanh Cong Ngu;Kien Trung Le;Phuc Minh Le;Huy Hoang-Dang Nguyen;Jugal Kalita
  • 通讯作者:
    Jugal Kalita

Jugal Kalita的其他文献

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{{ truncateString('Jugal Kalita', 18)}}的其他基金

REU Site: Recent Advances in Natural Language Processing
REU 网站:自然语言处理的最新进展
  • 批准号:
    2349452
  • 财政年份:
    2024
  • 资助金额:
    $ 5.12万
  • 项目类别:
    Standard Grant
REU Site: Deep Learning: Theory, Concepts and Applications
REU 网站:深度学习:理论、概念和应用
  • 批准号:
    2050919
  • 财政年份:
    2021
  • 资助金额:
    $ 5.12万
  • 项目类别:
    Standard Grant
CUE Ethics: Collaborative Research: An inclusive and In-Depth Computing Curriculum to help Non-majors Learn Small Patterns to Solve Big Problem
CUE 伦理:协作研究:包容性和深入的计算课程,帮助非专业人士学习小模式解决大问题
  • 批准号:
    1935051
  • 财政年份:
    2019
  • 资助金额:
    $ 5.12万
  • 项目类别:
    Standard Grant
REU Site: Machine Learning in Natural Language Processing and Computer Vision
REU 网站:自然语言处理和计算机视觉中的机器学习
  • 批准号:
    1659788
  • 财政年份:
    2017
  • 资助金额:
    $ 5.12万
  • 项目类别:
    Standard Grant
REU Site: Machine Learning, Theory and Applications
REU 网站:机器学习、理论与应用
  • 批准号:
    1359275
  • 财政年份:
    2014
  • 资助金额:
    $ 5.12万
  • 项目类别:
    Continuing Grant
II-NEW: Acquiring infrastructure for Artificial Intelligence, Natural Language Processing and Information Retrieval
II-新:获取人工智能、自然语言处理和信息检索的基础设施
  • 批准号:
    0958576
  • 财政年份:
    2010
  • 资助金额:
    $ 5.12万
  • 项目类别:
    Standard Grant
REU Site for Artificial Intelligence, Natural Language Processing and Information Retrieval
REU 人工智能、自然语言处理和信息检索网站
  • 批准号:
    0851783
  • 财政年份:
    2009
  • 资助金额:
    $ 5.12万
  • 项目类别:
    Standard Grant
NSF Engineering Scholarships
NSF 工程奖学金
  • 批准号:
    0631129
  • 财政年份:
    2006
  • 资助金额:
    $ 5.12万
  • 项目类别:
    Standard Grant
CSEM Scholarships at the University of Colorado at Colorado Springs
科罗拉多大学科罗拉多斯普林斯分校 CSEM 奖学金
  • 批准号:
    0422524
  • 财政年份:
    2004
  • 资助金额:
    $ 5.12万
  • 项目类别:
    Standard Grant
Semantics of Action Verbs for Animtion Control of Task Performance
用于任务执行动画控制的动作动词语义
  • 批准号:
    9209365
  • 财政年份:
    1992
  • 资助金额:
    $ 5.12万
  • 项目类别:
    Standard Grant

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协作研究 [FW-HTF-RL]:通过人工智能支持的工作嵌入学习形成性反馈增强教师实践的未来
  • 批准号:
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  • 财政年份:
    2023
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  • 批准号:
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  • 财政年份:
    2023
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