Examining The Impact Of Training And Feedback On Visualization-Supported Decision Making Under Uncertainty

Abstract

Empirical evaluations of uncertainty visualizations often employ complex experimental tasks to ensure ecological validity. However, if training for such tasks is not sufficient for naive participants, differences in performance could be due to the visualizations or to differences in task comprehension, making interpretation of findings problematic. Research has begun to assess how training is related to performance on decision-making tasks using uncertainty visualizations. This study continues this line of research by investigating how training, in general, and feedback, in particular, affect performance on a simulated resource allocation task. Additionally, we examined how this alters metacognition and workload to produce differences in cognitive efficiency. Our results suggest that, on a complex decision-making task, training plays a critical role in performance with respect to accuracy, subjective workload, and cognitive efficiency. This study has implications for improving research on complex decision making, and for designing more efficacious training interventions to assess uncertainty visualizations.

Publication Date

1-1-2018

Publication Title

Proceedings of the Human Factors and Ergonomics Society

Volume

3

Number of Pages

1449-1453

Document Type

Article; Proceedings Paper

Personal Identifier

scopus

DOI Link

https://doi.org/10.1177/1541931218621329

Socpus ID

85072751292 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/85072751292

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