ISSN 1671-3710
CN 11-4766/R
主办:中国科学院心理研究所
出版:科学出版社

心理科学进展 ›› 2021, Vol. 29 ›› Issue (11): 2062-2072.doi: 10.3724/SP.J.1042.2021.02062

• 研究前沿 • 上一篇    下一篇

概率估计的趋势效应及其对决策的影响机制——基于心理动量的视角

熊冠星1, 叶金明1, 孙海龙2()   

  1. 1华南师范大学经济与管理学院, 广州 510006
    2广东外语外贸大学商学院, 广州 510006
  • 收稿日期:2021-03-12 出版日期:2021-11-15 发布日期:2021-09-23
  • 通讯作者: 孙海龙 E-mail:sunhailong@gdufs.edu.cn
  • 基金资助:
    国家自然科学基金青年项目(71901097);广东省自然科学基金面上项目(2019A1515010722);教育部人文社科基金项目青年项目(20YJCZH135);广东省哲学社会科学基金青年项目(GD18YGL05);广东省哲学社会科学基金青年项目(GD19YGL07);广东省自然科学基金粤穗联合基金(2020A1515110429)

The trend effect of probability estimation and its influence on decision-making from the perspective of psychological momentum

XIONG Guanxing1, YE Jinming1, SUN Hailong2()   

  1. 1School of Economics and Management, South China Normal University, Guangzhou 510005, China
    2School of Business, Guangdong University of Foreign Studies, Guangzhou 510006, China
  • Received:2021-03-12 Online:2021-11-15 Published:2021-09-23
  • Contact: SUN Hailong E-mail:sunhailong@gdufs.edu.cn

摘要:

概率是反映风险与不确定性的重要指标, 概率估计具有趋势效应, 会对决策产生影响。文章描述了概率估计趋势效应的两种表现形式, 概率估计变化的趋势性(即不同时间点概率估计变化产生的趋势作用)与单边概率估计的趋势性(即高于或低于某个概率区间范畴的上界或下界的估计表述所产生的趋势作用), 揭示了概率估计趋势效应对于个体判断、决策行为和非理性决策偏差的影响; 基于心理动量的理论视角提出了一个整合模型, 阐述了概率估计趋势效应催生心理动量体验继而引发后续决策行为的内在机理。未来的研究可进一步关注:多方信息来源主体下概率估计的趋势效应; 动态趋势效应与静态概率估计的交互作用; 风险沟通中的概率估计变化趋势。

关键词: 概率估计, 趋势效应, 心理动量, 概率变化, 单边概率, 决策

Abstract:

Probability is an important indicator reflecting risk and uncertainty. Existing research focuses on how an individual evaluates the characteristics, antecedents, and underlying mechanisms of static probability. However, in reality, probability estimation is dynamic and therefore has a trend effect, which in turn influences decision-making. This paper describes two manifestations of the trend effect of probability estimation: (1) the tendency of the revised probability estimation—namely, the increased or decreased trend effect of probability estimation changing from one time point to another; and (2) the single-bound probability—namely, the estimated expression being higher or lower than the upper or lower bound of a certain probability interval. In addition, we indicate the trend effect’s impact on an individual’s judgments, decision-making behaviors, and irrational decision deviations. Based on the theoretical perspective of psychological momentum, we propose an integrated model to explore the internal mechanism of probability estimation’s trend effect. The model reveals probability estimation’s trend effect induces psychological momentum through initial triggering of psychological momentum-related stimuli, release of the catalysis via psychological simulating of the future trend, and formation of the psychological momentum perception experience. Also it illustrates the two major components of the perception experience of psychological momentum (perceived quality and perceived velocity). Further, the model includes analyses of the three conditions affecting the generated degree of psychological momentum (strength, frequency, and continuity) and the dynamic between psychological momentum and decision-making behavior. Future research can focus on three areas. (1) Probability estimation’s trend effect when there are multiple information sources. Most existing research emphasizes unilateral information sources when the direction of probability estimation’s trend effect is relatively clear. But there are often multiple sources of information in the real world; for example, if two experts estimate the probability of a future event at the same time, more complicated situations, including the recency effect and framing effect, need further exploration. (2) The interaction between dynamic trend effect and static probability estimation. Static probability research has shown individuals often overestimate the occurrence of low probability events and underestimate the occurrence of medium and high probability events. Thus, are the trend effects of dynamic probability estimation different for the different probability risks? Further, for the interval value of extremely low probability, whether adopting the unilateral probability statement can effectively suppress the deviation of the overestimation of the small probability? (3) The trend effect of revised probability estimation in risk communication. Probability estimation’s trend effect plays an essential role in risk communication. The trend effect produced by the revised probability estimation or unilateral probability expression from the communicating party affects the other party’s understanding and judgment. Compared with those of the narrow interval, what are the characteristics of the wide probability interval communicated? Will the difference between the roles of the two communicating parties affect the probability estimation? All these issues need further exploration.

Key words: probability estimation, the trend effect, psychological momentum, revised probability, single- bound probability, decision making

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