This paper proposes a method when and how the system provides stimuli to the learners, describes its implementation briefly, and reports validity of the method.

Oct 22, 2024 · This paper proposes a method when and how the system provides stimuli to the learners, describes its implementation briefly, and reports ...

Sep 15, 2024 · When we visualize the summary statistic, adding an error bar within the graph would be fitting to show the aggregation's uncertainty or spread.

Our taxonomy differentiates six levels of decisions that comprise an uncertainty visualization evaluation: the behavioral targets of the study, expected effects ...

A collection of 372 evaluation paths observed across a sample of 86 publications with uncertainty visualization evaluations.

Nov 2, 2023 · Several techniques can be employed to identify data errors, including data profiling, data validation, cross-referencing, range checks, duplicate detection, ...

In this chapter, we present a discussion of errors in uncertainty visualization research and current approaches to evaluation.

Mar 12, 2024 · 1. Avoid common pitfalls ; 2. Troubleshoot problems ; 3. Present your findings ; 4. Review and update ; 5. Learn and improve ...

Feb 1, 2023 · We found that quantile dot plots significantly increased accuracy in the assessment of measurement uncertainty compared with other formats.

Sep 4, 2019 · This article explores how to understand our data samples and create the most suitable graphs for visualizing what they represent.