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Emotion and Reason in Everyday Risk Perception

机译:日常风险感知中的情感和理性

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摘要

Although research has documented the importance of emotion in risk perception, little is known about it in the context of everyday life. Using the Experience Sampling Method (ESM), 94 part-time students were prompted at random-via cellular telephones-to report on mood state and three emotions and to assess risk on thirty occasions during their working hours. The emotions-valence, arousal, and dominance-were measured using self-assessment manikins (SAMs) (Bradley & Lang, 1994). Hierarchical linear models (HLM) revealed that mood state and emotions explained significant variance in risk perception. In addition, valence and arousal accounted for variance over and above "reason" (measured by severity and possibility of risks). Six risks were re-assessed in a post-experimental session and found to be lower than their real-time counterparts. The study demonstrates the feasibility and value of collecting representative samples of data with simple technology. Evidence is also provided to demonstrate the statistical consistency of the HLM estimates.
机译:尽管研究已经证明情感在风险感知中的重要性,但在日常生活中对情感的了解却很少。使用体验采样方法(ESM),通过蜂窝电话随机提示94名兼职学生报告他们的情绪状态和三种情绪,并在工作时间评估30次。使用自我评估模型(SAMs)来测量情绪,价,唤醒和主导地位(Bradley&Lang,1994)。分层线性模型(HLM)显示,情绪状态和情绪解释了风险感知中的显着差异。此外,效价和唤醒引起了超出“原因”(由严重性和风险的可能性衡量)的差异。在实验后的会议中重新评估了六种风险,发现这些风险低于实时风险。该研究证明了用简单的技术收集代表性数据样本的可行性和价值。还提供了证据来证明HLM估算值的统计一致性。

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