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利用基于主体的模拟设计环境宣传活动:改变环境态度的策略

Designing environmental campaigns by using agent-based simulations: strategies for changing environmental attitudes.

作者信息

Mosler Hans-Joachim, Martens Thomas

机构信息

Swiss Federal Institute of Aquatic Science and Technology (EAWAG), Ueberlandstrasse 133, P.O. Box 611, CH-8600 Duebendorf, Switzerland.

出版信息

J Environ Manage. 2008 Sep;88(4):805-16. doi: 10.1016/j.jenvman.2007.04.013. Epub 2007 Jun 4.

Abstract

Agent-based computer simulation was used to create artificial communities in which each individual was constructed according to the principles of the elaboration likelihood model of Petty and Cacioppo [1986. The elaboration likelihood model of persuasion. In: Berkowitz, L. (Ed.), Advances in Experimental Social Psychology. Academic Press, New York, NY, pp. 123-205]. Campaigning strategies and community characteristics were varied systematically to understand and test their impact on attitudes towards environmental protection. The results show that strong arguments influence a green (environmentally concerned) population with many contacts most effectively, while peripheral cues have the greatest impact on a non-green population with fewer contacts. Overall, deeper information scrutiny increases the impact of strong arguments but is especially important for convincing green populations. Campaigns involving person-to-person communication are superior to mass-media campaigns because they can be adapted to recipients' characteristics.

摘要

基于主体的计算机模拟被用于创建人工社区,其中每个个体都是根据佩蒂和卡乔波的详尽可能性模型的原则构建的[1986年。说服的详尽可能性模型。载于:伯克维茨,L.(编辑),《实验社会心理学进展》。学术出版社,纽约,纽约州,第123 - 205页]。竞选策略和社区特征被系统地改变,以理解和测试它们对环境保护态度的影响。结果表明,有力论据对联系频繁的绿色(关注环境)人群影响最为有效,而边缘线索对联系较少的非绿色人群影响最大。总体而言,更深入的信息审查会增加有力论据的影响,但对于说服绿色人群尤为重要。涉及人际沟通的竞选活动优于大众媒体竞选活动,因为它们可以根据受众特征进行调整。

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