<p>This figure shows probability weighting functions, <i>w</i>(<i>p</i>), and individual participants' decision weights at each probability condition estimated using our behavioral model. A significant difference in probability weighting functions between the NO MESSAGE (blue line) and MESSAGE (red line) condition was obtained. The differences indicate that participants overweighted probabilities smaller than 20% and underweighted probabilities greater than 80% to a greater extent in the MES compared to the NOM condition. These results indicate that the presence of the expert's advice, whose decision strategy is shown in the dotted line, had a significant effect on participants' probability weighting functions. A median α of 0.74 was obtain...
I present new estimates of the probability weighting functions found in rankdependent theories of ch...
textabstractIn this paper we propose the use of preferred outcome distributions as a new method to e...
Model predictions for participants choosing the predicted information compared to the alternative in...
Empirical studies have shown that decision makers do not usually treat probabili-ties linearly. Inst...
An important reason why people violate expected utility theory is probability weighting. Previous st...
Our understanding of the decisions made under scenarios where both descriptive and experience-based ...
Information about event probability upon which decisions depend may be more or less precise. The fir...
Our understanding of the decisions made under scenarios where both descriptive and experience-based ...
This article provides a theoretical account and identifies boundary conditions for the common belief...
Empirical research has shown that people tend to overweight small probabilities and underweight larg...
textabstractTo accommodate the observed pattern of risk-aversion and risk-seeking, as well as common...
<p>(A) Median percentage of choices of the option with the higher expected value, separately for the...
When valuing risky prospects, people tend to overweight small probabilities and to underweight large...
<p>(<b>a</b>) Value function as estimated from participants' decisions (red, model M4.) Estimation o...
When valuing risky prospects, people typically overweight small probabilities and underweight medium...
I present new estimates of the probability weighting functions found in rankdependent theories of ch...
textabstractIn this paper we propose the use of preferred outcome distributions as a new method to e...
Model predictions for participants choosing the predicted information compared to the alternative in...
Empirical studies have shown that decision makers do not usually treat probabili-ties linearly. Inst...
An important reason why people violate expected utility theory is probability weighting. Previous st...
Our understanding of the decisions made under scenarios where both descriptive and experience-based ...
Information about event probability upon which decisions depend may be more or less precise. The fir...
Our understanding of the decisions made under scenarios where both descriptive and experience-based ...
This article provides a theoretical account and identifies boundary conditions for the common belief...
Empirical research has shown that people tend to overweight small probabilities and underweight larg...
textabstractTo accommodate the observed pattern of risk-aversion and risk-seeking, as well as common...
<p>(A) Median percentage of choices of the option with the higher expected value, separately for the...
When valuing risky prospects, people tend to overweight small probabilities and to underweight large...
<p>(<b>a</b>) Value function as estimated from participants' decisions (red, model M4.) Estimation o...
When valuing risky prospects, people typically overweight small probabilities and underweight medium...
I present new estimates of the probability weighting functions found in rankdependent theories of ch...
textabstractIn this paper we propose the use of preferred outcome distributions as a new method to e...
Model predictions for participants choosing the predicted information compared to the alternative in...