未来关系的形态:复杂人类行为的多维分析

Lee Mason, Alonzo Andrews, Maria Otero, Kimberly James-Kelly
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引用次数: 0

摘要

科学,被理解为科学家的行为,属于行为分析的范畴。所有科学家都会使用科学仪器来研究自然现象,而对于行为分析师来说,最重要的工具可能莫过于用来显示水平、趋势和变异性变化的图表,行为分析师可以根据这些图表做出基于数据的决策。我们所熟知的现代行为主义可以追溯到 20 世纪 30 年代首次开发的累积记录器。虽然二维图表对行为科学具有革命性的意义,但它在分析复杂的人类行为时可能会受到限制。在本文中,我们将语言行为概念化为环境关系的多维领域,并介绍了多轴雷达图在视觉和定量分析中的应用。在此基础上,我们考察了雷达图在推进行为分析对人类语言和认知的理解方面的应用。我们演示了如何使用雷达图计算简单的形状描述符,作为动态互动因素的定量测量方法,并展示了如何使用雷达图测量随时间的变化。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

The Shape of Relations to Come: Multidimensional Analyses of Complex Human Behavior

The Shape of Relations to Come: Multidimensional Analyses of Complex Human Behavior

Science, understood to be the behavior of scientists, falls within the purview of behavior analysis. All scientists use scientific instruments to study a natural phenomenon, and for the behavior analyst, perhaps no tool is more important than the graph used to show changes in level, trend, and variability, and upon which behavior analysts make data-based decisions. Modern behaviorism as we know it dates back to the development of the cumulative recorder first developed in the 1930s. Though revolutionary to the science of behavior, two-dimensional graphs may be limited in application for analyzing complex human behavior. In the current article, we conceptualize verbal behavior as a multidimensional field of environmental relations, and introduce the use of multi-axial radar charts for its visual and quantitative analysis. From there, we survey the use of radar charts toward advancing a behavior-analytic understanding of human language and cognition. We demonstrate the use of radar charts for calculating simple shape descriptors as a quantitative measure of dynamic interactants, and show how they can be used to measure change over time.

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