人们如何处理不同的统计信息表示? 洞察认知努力,表现不一致以及个人差异
Kevin E Tiede1,2,3, Wolfgang Gaissmaier2,4
1Center for Adaptive Rationality, Max Planck Institute for Human Development, Germany.
概括
像图标数组这样的图形格式可以提高理解,但需要比数字更大的认知努力. 数学能力影响信息处理效率,更高的数学能力会带来更好的结果.
科学领域:
- 认知心理学 认知心理学
- 卫生沟通健康沟通
- 决策科学科学 决策科学
背景情况:
- 与数值数据相比,图形表示 (例如图标数组) 通常可以提高对治疗益处和风险的理解.
- 对于有效的风险沟通,研究形式对理解影响背后的认知过程至关重要.
研究的目的:
- 检查处理数字与图形信息所需的认知力度.
- 了解不一致的表示如何影响信息处理.
- 评估数字和图形素养对理解统计信息的影响.
主要方法:
- 一个参与者之间的实验与665个人评估药物的益处和副作用.
- 信息以数字,图形 (图标数组) 或不一致的方式呈现.
- 通过时间压力来测量认知力度;评估了算术和图形素养.
主要成果:
- 图形格式 (图标数组) 需要更多的认知力度,时间压力的影响更大.
- 不一致的信息表示导致了较低的理解和偏向图形选项的决策.
- 更高的计算能力与更有效地处理定量信息相关.
结论:
- 虽然图形格式可以提高理解,但它们可能需要更大的认知努力.
- 风险沟通的目标应该指导图形和数字格式之间的选择.
- 统计信息的理解受表达格式和个体数学的水平的影响.
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