Heuristics made easy: an effort-reduction framework.
In this article, the authors propose a new framework for understanding and studying heuristics. The authors posit that heuristics primarily serve the purpose of reducing the effort associated with a task. As such, the authors propose that heuristics can be classified according to a small set of effort-reduction principles. The authors use this framework to build upon current models of heuristics, examine existing heuristics in terms of effort-reduction, and outline how current research methods can be used to extend this effort-reduction framework. This framework reduces the redundancy in the field and helps to explicate the domain-general principles underlying heuristics.
Shah
Anuj K
AK
Department of Psychology, Princeton University, NJ 08544, USA. akshah@princeton.edu
Oppenheimer
Daniel M
DM
D000465:Algorithms; D003657:Decision Making; D006801:Humans; D007600:Judgment; D011582:Psychological Theory; D011584:Psychology / Q000379:methods*