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Biosignals reflect pair-dynamics in collaborative work: EDA and ECG study of pair-programming in a classroom environment

机译:生物信号反映了协作工作中的配对动力学:EDA和ECG在教室环境中进行配对编程研究

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摘要

Collaboration is a complex phenomenon, where intersubjective dynamics can greatly affect the productive outcome. Evaluation of collaboration is thus of great interest, and can potentially help achieve better outcomes and performance. However, quantitative measurement of collaboration is difficult, because much of the interaction occurs in the intersubjective space between collaborators. Manual observation and/or self-reports are subjective, laborious, and have a poor temporal resolution. The problem is compounded in natural settings where task-activity and response-compliance cannot be controlled. Physiological signals provide an objective mean to quantify intersubjective rapport (as synchrony), but require novel methods to support broad deployment outside the lab. We studied 28 student dyads during a self-directed classroom pair-programming exercise. Sympathetic and parasympathetic nervous system activation was measured during task performance using electrodermal activity and electrocardiography. Results suggest that (a) we can isolate cognitive processes (mental workload) from confounding environmental effects, and (b) electrodermal signals show role-specific but correlated affective response profiles. We demonstrate the potential for social physiological compliance to quantify pair-work in natural settings, with no experimental manipulation of participants required. Our objective approach has a high temporal resolution, is scalable, non-intrusive, and robust.
机译:合作是一种复杂的现象,主体间的动态会极大地影响生产成果。因此,对协作的评估非常重要,并且可能有助于实现更好的结果和绩效。但是,协作的定量测量很困难,因为很多交互作用发生在协作者之间的主观空间中。手动观察和/或自我报告是主观的,费力的,并且时间分辨率较差。在无法控制任务活动和响应遵从性的自然环境中,问题更加复杂。生理信号提供了一种客观的方法来量化主体间的融洽关系(作为同步性),但是需要新颖的方法来支持实验室外的广泛部署。在一次自指导的课堂对编程练习中,我们研究了28个学生dyad。使用皮肤电活动和心电图在任务执行期间测量交感神经和副交感神经系统的激活。结果表明(a)我们可以将认知过程(心理工作量)与混淆的环境影响隔离开来;(b)皮肤电信号显示特定于角色但相关的情感反应曲线。我们证明了社交生理顺应性量化自然环境中的配对工作的潜力,无需对参与者进行实验性操作。我们的客观方法具有较高的时间分辨率,具有可伸缩性,非侵入性和鲁棒性。

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