Persuading Risk-Conscious Agents: A Geometric Approach

A Convex Programming Framework for Information Design Under Realistic Human Behavior Platform markets and services typically have additional relevant information in comparison with their users. design studies how the sharing of this can be leveraged by platform to influence user behavior obtain desirable outcomes. Previous research has studied assuming that users act maximize expected utility, but assumption does not always hold reality. Instead, people often exhibit biases deviations from utility maximization. In “Persuading Risk-Conscious Agents: Geometric Approach,” Anunrojwong, Iyer, Lingenbrink study “risk-conscious” agents whose functions may depend nonlinearly on beliefs. They provide a convex programming approach solving optimal persuasion mechanism establish structural properties different settings. illustrate an application involving waiting-time queueing system. Overall, work contributes under realistic models human behavior.