论文标题
直接评估个人内涵和经验：认知伴随映射的介绍
Direct assessment of individual connotation and experience: An introduction to cognitive-affective mapping
论文作者
论文摘要
我们将认知影响图（CAM）作为评估个人经验和信念系统的新工具。凸轮首先是由认知科学家和哲学家保罗·塔加德（Paul Thagard）提出的，作为心理网络的图形表示，可视化对感兴趣主题的态度，思想和情感含义。虽然CAM最初主要用于可视化现有数据，但新的软件工具价的最新发布促进了CAM在经验数据收集中的适用性。在本文中，我们解释了CAM的概念和理论背景。我们说明了如何在研究实践中应用CAM，包括不同的分析选择。我们建议CAM作为定性和定量研究方法之间用户友好和多功能的方法论桥梁，并鼓励将该方法纳入研究和可视化人类的态度和经验。
We introduce cognitive-affective maps (CAMs) as a novel tool to assess individual experiences and belief systems. CAMs were first presented by the cognitive scientist and philosopher Paul Thagard as a graphical representation of a mental network, visualizing attitudes, thoughts, and affective connotations toward the topic of interest. While CAMs were originally used primarily to visualize existing data, the recent release of the new software tool Valence has facilitated the applicability of CAMs for empirical data collection. In this article, we explain the concept and the theoretical background of CAMs. We exemplify how CAMs can be applied in research practice, including different options for analysis. We propose CAMs as a user-friendly and versatile methodological bridge between qualitative and quantitative research approaches and encourage incorporating the method into studies to access and visualize human attitudes and experience.
