模棱两可
代理(统计)
灵敏度(控制系统)
歧义厌恶
概率逻辑
不确定度分析
计量经济学
社会心理学
社会影响力
心理学
计算机科学
经济
数学
统计
人工智能
工程类
程序设计语言
电子工程
作者
Nina Lauharatanahirun,Jason A. Aimone,J. Braxton Gately
出处
期刊:Social Science Research Network
[Social Science Electronic Publishing]
日期:2021-01-01
摘要
Research has long documented how different forms of uncertainty, namely risk and ambiguity, influence decision making. This literature, however, has given little attention to how decisions may differ in response to the source generating the uncertainty of potential outcomes. Some decisions may be social in nature where the uncertainty is generated by another person, whereas other decisions may be non-social involving uncertainty that is generated by probabilistic mechanisms. While past research has demonstrated the importance of source within the risk domain, our study provides the first exploration of social ambiguity sensitivity. We construct a general measurement of Social Uncertainty Sensitivity and explore how such sensitivity differs across three different uncertainty environments: risk, low ambiguity, high ambiguity. We find strong correlations between Social Uncertainty Sensitivity across levels of ambiguity and risk. Further, using reaction time as a proxy for information processing, we observe a significant relationship between Social Uncertainty Sensitivity and reaction time in decisions to invest (as opposed to not investing) in a given uncertainty environment. Our results demonstrate that not only is it important to consider the type of uncertainty environment on decision making, but that decisions are also shaped by individual sensitivity to how the uncertainty is derived.
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