促进对未来情绪的可视化:利用叙述沉浸模型来探索叙述的潜力,以减少情感预测错误
Kerstin Hundal1, Courtney L Scherr1, Brian J Zikmund-Fisher2
1Department of Communication Studies, Northwestern University, Evanston, IL, USA.
概括
不同的叙事类型可以减少健康决策中的情感预测错误. 经验,过程和结果叙述为改善情绪预测和健康结果提供了明显的好处.
科学领域:
- 健康心理学 心理健康心理学
- 行为科学 行为科学
- 沟通研究 沟通研究
背景情况:
- 情感预测错误在健康决策中普遍存在,对健康结果产生负面影响.
- 现有的叙事干预往往缺乏针对目标错误和叙事类型影响的具体性.
- 叙事沉浸模型 (NIM) 提供了一个框架来分析叙事对与健康有关的情感预测的影响.
研究的目的:
- 调查不同的叙事类型 (经验,过程,结果) 如何减轻特定的情感预测错误.
- 应用叙事沉浸模式来理解健康决策干预中的叙事细微差别.
- 识别通过叙事特征影响情感预测的途径.
主要方法:
- 现有干预措施的叙述性回顾,针对健康中的情感预测错误.
- 分析经验,过程和结果叙述如何解决特定错误,如焦点主义和免疫疏忽.
- 检查叙事特征 (内容,结构,视角,传输) 和它们的影响.
主要成果:
- 经验叙述可以通过详细说明可能或可能的经验来减少错误.
- 过程叙述可以通过建模最佳决策策略来减轻错误.
- 结果叙述扩大了对潜在情感后果的理解,减少了影响偏见.
结论:
- 将叙事类型定制为特定的情感预测错误 (例如,框架,错误构建) 可以增强干预设计.
- 尼姆框架有助于为卫生干预选择有效的叙事信息类型.
- 未来的研究应该探索叙事特征,如现实主义和运输,以改善情感预测干预.
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