Beyond Team Makeup: Diversity in Teams Predicts Valued Outcomes in Computer-Mediated Collaborations

Beyond Team Makeup: Diversity in Teams Predicts Valued Outcomes in Computer-Mediated Collaborations
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超越团队构成:团队的多样性预测计算机介导的协作中的有价值的结果

DOI:
10.1145/3313831.3376279
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发表时间:
2020
期刊:
Proceedings of the ACM CHI Conference on Human Factors in Computing Systems (CHI 2020
影响因子:
--
通讯作者:
D'Mello, Sidney K.
D'Mello, Sidney K.
中科院分区:
--
文献类型:
--
作者:
Stewart, Angela E.B.;Amon, Mary Jean;Duran, Nicholas D.;D'Mello, Sidney K.

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在日益全球化和面向服务的经济中,人们需要与不同的团队一起参与以计算机为媒介的协作问题解决(CPS)。然而,团队通常无法达到期望,这表明需要帮助开发有效协作技能的技术。我们在这个方向上迈出了一步,通过调查团队多样性的不同维度(人口统计,个性,对团队合作的态度,以前的领域经验)预测客观(例如有效的解决方案)和主观(例如积极的看法)的合作成果。我们收集了96个黑社会的数据,他们通过视频会议进行了30分钟的CPS任务。我们发现,人口的多样性和对团队合作的不同态度预测积极参与的印象,而个性多样性预测学习成果。重要的是,这些关系是在考虑到团队构成后保持的。所有多样性指标都无法预测任务绩效。我们讨论了如何将我们的研究结果纳入旨在帮助不同团队开发CPS技能的技术中。
In an increasingly globalized and service-oriented economy, people need to engage in computer-mediated collaborative problem solving (CPS) with diverse teams. However, teams routinely fail to live up to expectations, showcasing the need for technologies that help develop effective collaboration skills. We take a step in this direction by investigating how different dimensions of team diversity (demographic, personality, attitudes towards teamwork, prior domain experience) predict objective (e.g. effective solutions) and subjective (e.g. positive perceptions) collaborative outcomes. We collected data from 96 triads who engaged in a 30-minute CPS task via videoconferencing. We found that demographic diversity and differing attitudes towards teamwork predicted impressions of positive engagement, while personality diversity predicted learning outcomes. Importantly, these relationships were maintained after accounting for team makeup. None of the diversity measures predicted task performance. We discuss how our findings can be incorporated into technologies that aim to help diverse teams develop CPS skills.
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