Trend judgment as a perceptual building block of graphicacy and mathematics, across age, education, and culture

L Ciccione, M Sablé-Meyer, E Boissin, M Josserand… - Scientific Reports, 2023 - nature.com
Data plots are widely used in science, journalism and politics, since they efficiently allow to
depict a large amount of information. Graphicacy, the ability to understand graphs, has thus …

Outlier detection and rejection in scatterplots: Do outliers influence intuitive statistical judgments?

L Ciccione, G Dehaene, S Dehaene - Journal of Experimental …, 2023 - psycnet.apa.org
According to a growing body of research, human adults are remarkably accurate at
extracting intuitive statistics from graphs, such as finding the best-fitting regression line …

Is my visualization better than yours? Analyzing factors modulating exponential growth bias in graphs

GA Melnik-Leroy, L Aidokas, G Dzemyda… - Frontiers in …, 2023 - frontiersin.org
Humans tend to systematically underestimate exponential growth and perceive it in linear
terms, which can have severe consequences in a variety of fields. Recent studies attempted …

Typicality effect in data graphs

D Reimann, M Struwe, N Ram… - Visual …, 2022 - journals.sagepub.com
Some types of data graphs are more easily understood than others. Following the
suggestion that typically encountered graphs may activate individuals' cognitive schema …

The role of transdisciplinarity for mineral economics and mineral resource management: coping with fallacies related to phosphorus in science and practice

RW Scholz, G Steiner - Mineral Economics, 2022 - Springer
Mineral economics is a genuine multidisciplinary field dealing with economic and policy
matters related to the production, distribution, and consumption of mineral commodities. We …

[HTML][HTML] An extended logarithmic visualization improves forecasting accuracy for exponentially growing numbers, but residual difficulties remain

BH Engler, F Hutzler, S Hawelka - International Journal of Forecasting, 2024 - Elsevier
Humans find it notoriously difficult to predict the future development of numbers in scenarios
where the data exhibits exponential growth. This study explored how employing …

Teaching simple heuristics can reduce the exponential growth bias in judging historic CO2 emission growth

J Lammers, J Crusius - Analyses of Social Issues and Public …, 2024 - Wiley Online Library
Across the last 150 years, global CO2 emissions have grown at an increasing, exponential
pace. Based on the well‐documented tendency to underestimate such exponential growth …

People accurately predict the shape of skill learning curves

X Zhang, SD McDougle, JA Leonard - Available at SSRN 4903336, 2024 - papers.ssrn.com
Decades of research have shown that skill learning often unfolds exponentially—people
improve rapidly early on, and then performance gradually levels off. Given how important …

Lost in Magnitudes: Exploring the Design Space for Visualizing Data with Large Value Ranges

K Batziakoudi, F Cabric, S Rey, JD Fekete - arXiv preprint arXiv …, 2024 - arxiv.org
We explore the design space for the static visualization of datasets with quantitative
attributes that vary over multiple orders of magnitude-we call these attributes Orders of …

Graphicacy across age, education, and culture: a new tool to assess intuitive graphics skills

L Ciccione, M Sablé-Meyer, E Boissin, M Josserand… - bioRxiv, 2022 - biorxiv.org
Data plots are widely used in science, journalism and politics, since they efficiently allow to
depict a large amount of information. Graphicacy, the ability to understand graphs, thus …