To risk or not to risk: Anxiety and the calibration between risk perception and danger mitigation.

Abstract

Anxiety prepares an organism for dealing with threats by recruiting cognitive resources to process information about the threat, and by engaging physiological systems to prepare a response. Heightened trait anxiety is associated with biases in both these processes: high trait-anxious individuals tend to report heightened risk perceptions, and inappropriate engagement in danger mitigation behavior. However, no research has addressed whether the calibration between risk perception and danger mitigation behavior is affected by anxiety, though it is well recognized that this calibration is crucial for adaptive functioning. The current study aimed to examine whether anxiety is characterized by better or worse calibration of danger mitigation behavior to variations in risk magnitude. Low and high trait-anxious participants were presented with information about the likelihood and severity of a danger (loud noise burst) on each trial. Participants could decide to mitigate this danger by investing a virtual coin, at the cost of losing danger mitigation ability on subsequent trials. Importantly, level of risk likelihood and severity were varied independently, and the multiplicative relationship between the 2 defined total danger. Multilevel modeling showed that the magnitude of total danger predicted the probability of coin investments, over and above the effects of risk likelihood and severity, suggesting that participants calibrated their danger mitigation behavior to integrated risk information. Crucially, this calibration was affected by trait anxiety, indicating better calibration in high trait-anxious individuals. These results are discussed in light of existing knowledge and models of the effect of anxiety on risk perception and decision-making.

Publication
Journal of Experimental Psychology: Learning, Cognition, and Emotion
Stijn Masschelein
Stijn Masschelein
Senior Lecturer in Accounting and Finance - Fellow in Center of Data Business Analytics

I am a lecturer in accounting at the University of Western Australia. I am interested in the role of (management accounting) information in decision making and risk taking. My research investigate how verifiable and subjective information supports formal and informal contracts. My interest is easily piqued and as a result I am involved in a wide variety of projects such as field applications in target setting and cost of quality, lab experiments on negotiations, markets, and risk taking, survey research on integrity and quantitative field studies in the banking sector. I developed experience in a range of statistical methods such as meta-analysis, (Bayesian) multilevel models, and simulations.

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