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情感神经科学:一款网络应用程序用于监测工作时情感状态的适用性。

Affective Neuroscience: The Suitability of a Web App to Monitor Affective States at Work.

作者信息

Manfredi Paola, Massardi Elena

机构信息

Department of Clinical and Experimental Sciences, University of Brescia, Brescia, Italy.

University Research Center Integrated Models for Prevention and Protection in Environmental and Occupational Health (MISTRAL), University of Brescia, Brescia, Italy.

出版信息

Front Psychol. 2021 Jun 4;12:592143. doi: 10.3389/fpsyg.2021.592143. eCollection 2021.

Abstract

This work describes in detail the use of a new tool, a web-app, based on the conceptual framework of affective neuroscience, in particular on Panksepp's 7 basic emotional systems. Affective neuroscience has been used effectively in many areas, but there have been very few applications in the workplace, due to the lack of a smart implementation tool. The novelty of this work does not lie in the new information, but in a new "clinical" approach. There is a theoretical framework that allows data to be interpreted rather than simply described. Furthermore, the knowledge of working realities through the web app is specific and longitudinal. Finally, emotions are detected in , so the role of reflexive-cognitive mediation and recall bias are minor. This "more situated" knowledge can then guide specific leadership strategies. This paper presents the results of the tool's application in a company in Northern Italy. The findings of our project, which recorded basic affective states and the functioning of several working teams, are detailed herein. The project's 488 web-app records are summarized in this report, alongside our examination of related mood tags. Through this project, our analysis has enabled to determine affective neuroscience profiles of the teams analyzed, allowing the researchers to identify areas of possible interventions. The data appear very encouraging.

摘要

这项工作详细描述了一种新工具——一个基于情感神经科学概念框架,特别是潘克塞普的7种基本情绪系统的网络应用程序——的使用情况。情感神经科学已在许多领域得到有效应用,但由于缺乏智能实施工具,在工作场所的应用却非常少。这项工作的新颖之处不在于新信息,而在于一种新的“临床”方法。有一个理论框架可以让数据得到解读,而不仅仅是描述。此外,通过网络应用程序对工作实际情况的了解是具体且具有纵向性的。最后,情绪是在当下被检测到的,所以反思性认知调解和回忆偏差的作用较小。这种“更具情境性”的知识随后可以指导具体的领导策略。本文展示了该工具在意大利北部一家公司的应用结果。我们项目的研究结果详细记录在此,该项目记录了基本情感状态和几个工作团队的运作情况。本报告总结了该项目的488条网络应用程序记录,以及我们对相关情绪标签的研究。通过这个项目,我们的分析能够确定所分析团队的情感神经科学概况,使研究人员能够识别可能的干预领域。数据看起来非常令人鼓舞。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c60e/8211734/9f5bcfc33ac3/fpsyg-12-592143-g001.jpg

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