Reducing the Linear Perception of Nonlinearity

Use of a Physical Representation

Dados Bibliográficos

ID12166014
AutoresDutt (0000-0002-2151-8314, Dynamic Decision Making Laboratory, Department of Social and Decision Sciences Carnegie Mellon University Pittsburgh PA USA, autor correspondente), Cleotilde González (0000-0002-6244-2918, Dynamic Decision Making Laboratory, Department of Social and Decision Sciences Carnegie Mellon University Pittsburgh PA USA)
Ano2011
Volume26
Fascículo1
Páginas51-67
Data de publicação2011-10-17
Peer ReviewedSim
Open AccessSim
TipoARTICLE
PeriódicoJournal of Behavioral Decision Making (JOURNAL)
Identificadores do periódicoISSN: 0894-3257 • E-ISSN: 1099-0771
EditoraWiley (PUBLISHER • GB)
DOI10.1002/bdm.759
OpenAlexW2115815662
IdiomaEN
Citações recebidas1
Referências citadas44

Research shows that while judging accumulations of quantities over time (e.g., money in a bank account or CO 2 in Earth's atmosphere), people assume that the shape of the accumulation is similar to the shape of the inflow (i.e., people rely on a correlation heuristic). Relying on the correlation heuristic is particularly worrisome for Earth's climate, as judging the CO 2 accumulation according to its emissions (inflow) would underestimate the actual (nonlinear) increase. This misperception undermines the seriousness of climate problem and results in wait‐and‐see behavior. We report two experiments where the effectiveness of a physical representation is compared with graphical and text representations in reducing people's underestimation of nonlinear accumulation in different contexts and problems. A physical representation presents an accumulation using a picture that works as a metaphor. In the first experiment, participants drew the shape of an accumulation over time relying on physical or graphical representations in one of two contexts: carbon dioxide and marbles. Although the participants underestimated the accumulation in both contexts, underestimations were reduced in the physical representation compared with the graphical representation. In the second experiment, we extended the evaluation of physical representations against both text and graphical representations in two different climate problems (with linearly increasing or decreasing inflow). Again, underestimations of the accumulation were reduced in the physical representation compared with the other two representations, regardless of the nature of the problem. We discuss implications of using the physical representation for improving people's estimates of nonlinear CO 2 accumulation. Copyright © 2011 John Wiley & Sons, Ltd

Cognitive psychology · Epistemology · Heuristic · Inflow · Mechanics · Nonlinear system · Perception · Physics · Representation (politics · Seriousness · Complex Systems and Decision Making · Computer Science · Environmental Education and Sustainability · Mathematics · Mental Health Research Topics · Psychology · Social Psychology · Artificial Intelligence