Despite frequent and vivid reminders of the destruction that natural disasters can leave in their wake, compliance rates with evacuation orders and support for mitigation efforts remain troublingly low. One possible contributing factor to this apparent under-weighting of the risk from environmental hazards is the fact that when making decisions between uncertain outcomes in laboratory studies, people appear to treat rare events differently if their probabilities are learned through sampling and feedback (experience), as opposed to summary statistics (descriptions). Despite a recent surge in laboratory research on this topic, it is not yet clear how, or whether, this effect applies in the far more complex environment of real-world decisions about hazard preparedness. The current research project systematically investigates how learning about environmental hazards through personal experience affects people's perceptions of (and therefore their actions in response to) such dangers. The results provide a framework for scientists and policymakers to better understand how the public's personal experience with those natural hazards might interact with -- or override -- the descriptive warning information they disseminate. Appreciation of the psychological hurdles to the understanding or use of such information can improve the influence of hazard forecasts, increasing compliance with warnings and protective measures.

The Description-Experience (DE) Gap in risky choice describes the shift from Prospect Theory's predicted over-weighting of rare events when probabilities are learned through summary statistics (description), to an apparent under-weighting of small probabilities when learning occurs through repeated feedback (experience). This research program develops methods to extend existing findings about the DE gap into laboratory paradigms that more closely address the complexities inherent to real-world environmental decisions such as how to prepare for potential hazards. The research then validates existing findings through field studies that examine decisions from real-world experiences and assess the validity of prior results. Field studies integrate choice problems used in the laboratory studies into realistic paradigms, and test the boundaries of the type, timing, and valence of feedback typically used in DE gap studies. By converging evidence from well-controlled laboratory tasks and the richer, more complex set of real-world choices that people face every day, this program of research addresses current theory more thoroughly and effectively than either approach could alone. Insight into how provision of probability and outcome information in different ways affects real-world decisions illuminates ways of communicating information about environmental hazards to increase the likelihood that people will take protective action.

Agency
National Science Foundation (NSF)
Institute
Division of Social and Economic Sciences (SES)
Type
Standard Grant (Standard)
Application #
1227462
Program Officer
Robert O'Connor
Project Start
Project End
Budget Start
2012-09-01
Budget End
2017-08-31
Support Year
Fiscal Year
2012
Total Cost
$449,968
Indirect Cost
Name
Columbia University
Department
Type
DUNS #
City
New York
State
NY
Country
United States
Zip Code
10027