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Decision making with visualizations: a cognitive framework across disciplines.

Lace M Padilla^1,2, Sarah H Creem-Regehr², Mary Hegarty³

¹1Northwestern University, Evanston, USA.

Cognitive Research: Principles and Implications

|September 22, 2018

Summary

This summary is machine-generated.

Researchers propose a dual-process model for understanding how people make decisions using visualizations. This framework integrates cognitive processes to explain fast, intuitive, and slower, effortful decision-making with visual data.

Keywords:

Cognitive model Decision making with visualizations review Dual-process Geospatial visualizations Graphical decision making Graphs Healthcare visualizations Uncertainty visualizations Visual-spatial biases Weather forecast visualizations

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Area of Science:

Cognitive Science
Information Visualization
Human-Computer Interaction

Background:

Visualizations are crucial for understanding complex information across various domains.
Research on visualization is fragmented, lacking cross-domain communication and a unifying cognitive framework.
Existing studies explore visualization creation, cognitive processes, and information communication.

Purpose of the Study:

To propose an integrative cognitive model for visualization comprehension and decision-making.
To address the gap in cross-domain communication of visualization research findings.
To provide a dual-process account of decision-making with static, two-dimensional visualizations.

Main Methods:

Review of empirical studies on decision-making with static, two-dimensional visualizations.
Integration of models of visualization comprehension and dual-process theory of decision-making.
Analysis of cross-domain findings to identify potential universal visualization principles.

Main Results:

Empirical evidence supports a dual-process account of decision-making with visualizations.
Two distinct decision mechanisms identified: one fast and intuitive, the other slow and effortful.
Four cross-domain findings illustrate the utility of the dual-process model for universal principles.

Conclusions:

A dual-process cognitive framework can unify research on visualization comprehension and use.
Understanding these cognitive mechanisms can lead to more effective visualization design.
Future research should explore novel areas and provide practical design recommendations based on cognitive theory.