Human Bayesian Inference

Decision making can be simple when there are limited choices and all the available options are known. However, unknowns introduce probabilities and the need for statistical inference. We use instructional science to create a link between cognitive load and Bayesian inference reasoning.

<< Topics

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Khan, A., Breslav, S., Hornbæk, K. (2016). Interactive Instruction in Bayesian Inference. Journal of Human-Computer Interaction. 32 pages.



Benefits of Visualization in the Mammography Problem

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Khan, A., Breslav, S., Glueck, M., Hornbæk, K. (2015). Benefits of Visualization in the Mammography Problem. International Journal of Human-Computer Studies. 83: pp. 94-113.


Mimic: Visual Analysis of Online Micro-interactions

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Breslav, S., Khan, A., Hornbæk, K. (2014). Mimic: Visual Analysis of Online Micro-interactions. AVI 2014 Conference Proceedings: Advanced Visual Interfaces Conference. pp. 245-252.