Focused or stuck together: multimodal patterns reveal triads' performance in collaborative problem solving

Hana Vrzakova, M. J. Amon, Angela E. B. Stewart, Nicholas D. Duran, S. D’Mello
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引用次数: 34

Abstract

Collaborative problem solving (CPS) in virtual environments is an increasingly important context of 21st century learning. However, our understanding of this complex and dynamic phenomenon is still limited. Here, we examine unimodal primitives (activity on the screen, speech, and body movements), and their multimodal combinations during remote CPS. We analyze two datasets where 116 triads collaboratively engaged in a challenging visual programming task using video conferencing software. We investigate how UI-interactions, behavioral primitives, and multimodal patterns were associated with teams' subjective and objective performance outcomes. We found that idling with limited speech (i.e., silence or backchannel feedback only) and without movement was negatively correlated with task performance and with participants' subjective perceptions of the collaboration. However, being silent and focused during solution execution was positively correlated with task performance. Results illustrate that in some cases, multimodal patterns improved the predictions and improved explanatory power over the unimodal primitives. We discuss how the findings can inform the design of real-time interventions for remote CPS.
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集中或粘在一起:多模态模式揭示了三和弦在协作解决问题中的表现
虚拟环境中的协同问题解决(CPS)是21世纪学习的一个日益重要的背景。然而,我们对这一复杂而动态的现象的认识仍然有限。在这里,我们研究了远程CPS期间的单模态原语(屏幕上的活动、语音和身体运动)及其多模态组合。我们分析了两个数据集,其中116个三合会使用视频会议软件协作从事具有挑战性的可视化编程任务。我们研究了ui交互、行为原语和多模态模式如何与团队的主观和客观绩效结果相关联。我们发现,在有限的言语(即沉默或只有反向反馈)和没有运动的情况下,空转与任务绩效和参与者对合作的主观看法呈负相关。然而,在解决方案执行过程中保持沉默和专注与任务绩效呈正相关。结果表明,在某些情况下,与单模态原语相比,多模态模式提高了预测能力和解释力。我们讨论了这些发现如何为远程CPS的实时干预设计提供信息。
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