A Bayesian cognition approach for belief updating of correlation judgement through uncertainty visualizations

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Deep Learning bayesian-correlation-judgement-vis-2020
Overview

Overview

Code and supplemental materials for Karduni et al., 2020 IEEE Vis. "A Bayesian cognition approach for belief updating of correlation judgement through uncertainty visualizations" Arxiv preprint

Bayesian Cognitive Modeling

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How to Cite

If you this work inspires your research, please cite the following paper:

Karduni et al. "A Bayesian cognition approach for belief updating of correlation judgement through uncertainty visualizations." IEEE Transactions on Visualization and Computer Graphics. IEEE, 2020.

@article{karduni2020bayesian,
  title={A Bayesian cognition approach for belief updating of correlation judgement through uncertainty visualizations},
  author={Karduni, Alireza and Markant, Douglas and Wesslen, Ryan and Dou, Wenwen},
  journal={IEEE Transactions on Visualization and Computer Graphics},
  volume={27},
  number={2},
  pages={978--988},
  year={2020},
  publisher={IEEE}
}
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