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随时间变化的运动同步性:职场辅导中二元互动的轨迹包含什么?

Movement Synchrony Over Time: What Is in the Trajectory of Dyadic Interactions in Workplace Coaching?

作者信息

Erdös Tünde, Jansen Paul

机构信息

Department of Management and Organization, Amsterdam Business Research Institute (ABRI), Vrije Universiteit, Amsterdam, Netherlands.

Department of Management & Organization, School of Business & Economics, Industrial Psychology, Vrije Universiteit Amsterdam, Amsterdam, Netherlands.

出版信息

Front Psychol. 2022 Apr 28;13:845394. doi: 10.3389/fpsyg.2022.845394. eCollection 2022.

Abstract

BACKGROUND

Coaching is increasingly viewed as a dyadic exchange of verbal and non-verbal interactions driving clients' progress. Yet, little is known about how the trajectory of dyadic interactions plays out in workplace coaching.

METHOD

This paper provides a multiple-step exploratory investigation of movement synchrony (MS) of dyads in workplace coaching. We analyzed a publicly available dataset of 173 video-taped dyads. Specifically, we averaged MS per session/dyad to explore the temporal patterns of MS across (a) the cluster of dyads that completed 10 sessions, and (b) a set of 173 dyadic interactions with a varied number of sessions. Additionally, we linked that pattern to several demographic predictors. The results indicate a differential downward trend of MS.

RESULTS

Demographic factors do not predict best fitting MS curve types, and only client age and coach experience show a small but significant correlation.

DISCUSSION

We provide contextualized interpretations of these findings and propose conceptual considerations and recommendations for future coaching process research and practice.

摘要

背景

教练指导越来越被视为一种推动客户进步的言语和非言语互动的二元交流。然而,关于二元互动轨迹在工作场所教练指导中如何展开,我们知之甚少。

方法

本文对工作场所教练指导中二元组的运动同步性(MS)进行了多步骤探索性研究。我们分析了一个包含173个视频记录二元组的公开数据集。具体而言,我们计算了每个会话/二元组的MS平均值,以探索MS在(a)完成10个会话的二元组集群,以及(b)一组会话数量不同的173个二元互动中的时间模式。此外,我们将该模式与几个人口统计学预测因素联系起来。结果显示MS呈不同的下降趋势。

结果

人口统计学因素无法预测最适合的MS曲线类型,只有客户年龄和教练经验显示出小但显著的相关性。

讨论

我们对这些发现进行了情境化解读,并为未来的教练指导过程研究和实践提出了概念性思考和建议。

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