Doctoral Dissertation Research in DRMS: Assembling Teams Supported by Augmented Intelligence

多样性可以为团队和组织带来可衡量的好处。先前的研究表明，功能多样性--团队成员在经验或背景方面的不同程度--可以通过增加多样性可能带来的信息、技能、能力和知识来积极影响团队的运作。尽管新兴的社会规范提倡多样性和包容性，但根深蒂固的倾向会吸引相似和熟悉的人。这对寻求利用团队多样性的好处的组织构成了挑战。技术能否帮助组织及其同事组建更多样化的团队？这篇博士论文研究改进补助金(DDRIG)旨在了解增强智能技术如何促进人们在不同的功能团队中聚集。这项研究的发现和应用将有助于投资于增加团队多样性的利益相关者社区。这项研究还将向公众提供团队推荐系统，使参与者能够使用增强智能来组建自己的团队，并使参与者能够讨论和了解多样性。这项研究涉及一个实验室实验计划，该项目控制个人在组装团队时是否存在人工代理和增强智能。该项目将评估(A)随机组建的团队、(B)参与者和(C)使用增强智能的参与者的组建过程。这项研究将考察三种团队组建条件，并分析参与者的搜索查询、邀请或接受潜在队友邀请的决定、结果团队的组成和表现。该项目还将在团队成立后研究他们的互动过程和结果。这一奖项反映了NSF的法定使命，并通过使用基金会的智力优势和更广泛的影响审查标准进行评估，被认为值得支持。

Diversity can yield measurable benefits for teams and organizations. Prior research shows that functional diversity––the degree to which team members differ in terms of their experience or background––can positively influence team functioning through the increase of information, skills, ability, and knowledge that diversity may bring. Though emerging societal norms advocate diversity and inclusion, hardwired tendencies create an attraction to people who are similar and familiar. This poses a challenge to organizations seeking to leverage the benefits of diversity in teams. Can technologies help organizations and their co-workers assemble more diverse teams? This Doctoral Dissertation Research Improvement Grant (DDRIG) seeks to understand how augmented intelligence technologies can facilitate people to assemble in functional diverse teams. The findings and applications of this research will contribute to stakeholder communities that are invested in increasing diversity in teams. The research will also deliver a team recommender system to the public for enabling participants to assemble their own teams using augmented intelligence, and enabling participants to discuss and learn about diversity.This research involves a program of laboratory experiments controlling the presence and absence of human agency and augmented intelligence when individuals are assembling teams. The project will assess the formation processes of teams assembled (a) randomly, (b) by participants, and (c) by participants using augmented intelligence. The research will examine the three team formation conditions and analyze participants’ search queries, decisions to invite or accept invitations from potential teammates, their resulting teams’ composition, and performance. The project will also study their interaction processes and outcomes after the team is formed.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.