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Water Cognition and Cognitive Affective Mapping:Identifying Priority Clusters Within a Canadian Water Efficiency Community

机译:水认知和认知情感映射:确定加拿大水效率社区内的优先群体

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We often assume that researchers and decision-makers are rational beings reliant on hard data to determine the best policy. But individuals are also influenced by their experiences with their physical and social environments. How they perceive and interact with their environment is also important for decision-making. The brain processes these personal and professional experiences to generate the emotional responses and belief systems used to interpret environments. It is these brain-environment interpretation and coding, storage and recall functions that provide the different mental representations used for ongoing interactions with the world. Social psychologists, anthropologists, behavioural geographers and environmental sociologists have extensive theoretical and empirical mechanisms to investigate how this processing shifts from an individual level to the social level. It is this interplay between individuals' cognitive processing and emotion, along with group decision-making about water policy, that is the basis for a water cognition framework. How to test and evaluate a water cognition framework is the challenge. Cognitive affective mapping (CAM)-as both a process and product-offers one possible mechanism. Cognitive affective maps (CAMs) can be used for data collection, analysis and a communication medium. These roles allow the researcher to articulate individuals' deep emotions and values within a water community or network. The design and process can reveal how a community's values, beliefs and norms have changed over time and what potential exists for addressing embedded innovation barriers within a water governance context. To explore these ideas, this paper includes a brief review of the evolving cognitive affective sciences literature as the basis for the water cognition framework, a methodology description of cognitive affective mapping and discussion of results from a Canadian water efficiency community.
机译:我们经常假设研究人员和决策者是依靠硬数据来确定最佳政策的理性人。但是,个人也受其身体和社会环境经历的影响。他们如何看待环境并与之互动对决策也很重要。大脑处理这些个人和专业经验,以生成用于解释环境的情感反应和信念系统。正是这些大脑环境的解释,编码,存储和召回功能提供了用于与世界进行持续交互的不同心理表征。社会心理学家,人类学家,行为地理学家和环境社会学家具有广泛的理论和经验机制,以研究这种过程如何从个人层面转变为社会层面。个体的认知过程和情绪之间的相互作用以及有关水政策的集体决策,是水认知框架的基础。如何测试和评估水认知框架是挑战。认知情感映射(CAM)-作为一种过程和产品,都提供了一种可能的机制。认知情感图(CAM)可用于数据收集,分析和通信媒介。这些角色使研究人员能够阐明水社区或网络中个人的深层情感和价值观。该设计和过程可以揭示社区的价值观,信念和规范是如何随着时间变化的,以及在水治理环境下解决嵌入式创新障碍的潜力。为了探索这些想法,本文包括对不断发展的认知情感科学文献的简要回顾,以此作为水认知框架的基础,对认知情感作图的方法学描述以及对加拿大水效率社区结果的讨论。

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