Quantitative examination of a novel clustering method using magnetic resonance diffusion tensor tractography. - Aristotle N. Voineskos; Lauren J. O'Donnell; Nancy J. Lobaugh; Douglas Markant; Stephanie Ameis; Marc Niethammer; Benoit H. Mulsant; Bruce G. Pollock; James L. Kennedy; Carl-Fredrik Westin; Martha Elizabeth Shenton (NeuroImage, 2009)

Modeling information sampling over the course of learning. - Douglas Markant; Todd M. Gureckis (CogSci, 2011)

Stochastic tractography study of Inferior Frontal Gyrus anatomical connectivity in schizophrenia. - Marek Kubicki; Jorge L. Alvarado; Carl-Fredrik Westin; David F. Tate; Douglas Markant; Douglas P. Terry; Thomas J. Whitford; Julien De Siebenthal; Sylvain Bouix; Robert W. McCarley; Ron Kikinis; Martha Elizabeth Shenton (NeuroImage, 2011)

The role of exploratory decision-making in enhancing episodic memory. - Douglas Markant; Sarah Dubrow; Lila Davachi; Todd M. Gureckis (CogSci, 2012)

Does the utility of information influence sampling behavior? - Douglas Markant; Todd M. Gureckis (CogSci, 2012)

One piece at a time: Learning complex rules through self-directed sampling. - Douglas Markant; Todd M. Gureckis (CogSci, 2012)

Using Mechanical Turk and PsiTurk for Dynamic Web Experiments. - Anna Coenen; Douglas Markant; Jay B. Martin; John V. McDonnell (CogSci, 2013)

Changes in information search strategy under "dense" hypothesis spaces. - Douglas Markant; Todd M. Gureckis (CogSci, 2013)

Informavores: Active information foraging and human cognition. - Douglas Markant; Todd M. Gureckis; Björn Meder; Jonathan D. Nelson; Peter Pirolli; Chen Yu 001 (CogSci, 2013)

Adaptive teaching: Improving the efficiency of learning through hypothesis-dependent selection of training data. - Patricia Angie Chan; Douglas Markant; Brenden M. Lake; Todd M. Gureckis (CogSci, 2014)

Online Experiments using jsPsych, psiTurk, and Amazon Mechanical Turk. - Josh de Leeuw; Anna Coenen; Douglas Markant; Jay B. Martin; John V. McDonnell; Alexander Rich 002; Todd M. Gureckis (CogSci, 2014)

A preference for the unpredictable over the informative during self-directed learning. - Douglas Markant; Todd M. Gureckis (CogSci, 2014)

Modeling choice and search in decisions from experience: A sequential sampling approach. - Douglas Markant; Timothy J. Pleskac; Adele Diederich; Thorsten Pachur; Ralph Hertwig (CogSci, 2015)

The impact of biased hypothesis generation on self-directed learning. - Doug Markant (CogSci, 2016)

Active control of study leads to improved episodic memory in children. - Azzurra Ruggeri; Douglas B. Markant; Todd M. Gureckis; Fei Xu (CogSci, 2016)

Self-Directed Learning Favors Local, Rather Than Global, Uncertainty. - Douglas Markant; Burr Settles; Todd M. Gureckis (Cogn. Sci., 2016)

Children's Familiarity Preference in Self-directed Study Improves Recognition Memory. - Katherine A. Adams; George Kachergis; Doug Markant (CogSci, 2017)

Identifying the structure of hypotheses that guide search during development. - Doug Markant; Angela Jones; Thorsten Pachur; Alison Gopnik; Azzurra Ruggeri (CogSci, 2018)

Navigating the "chain of command": Enhanced integrative encoding through active control of study. - Doug Markant (CogSci, 2019)

Benefits of Active Control of Study in Autistic Children. - Nicholas Perri; Valentina Fantasia; Doug Markant; Costanza De Simone; Gianni Valeri; Azzurra Ruggeri (CogSci, 2019)

Effects of "chained" study on spontaneous relational discovery. - Doug Markant (CogSci, 2020)

Risk preferences in option generation: Do risk-takers generate more risky courses of action? - Meagan Padro; Mitra Mostafavi; Doug Markant (CogSci, 2020)

Using Resource-Rational Analysis to Understand Cognitive Biases inInteractive Data Visualizations. - Ryan Wesslen; Doug Markant; Alireza Karduni; Wenwen Dou (CoRR, 2020)

Capturing uncertainty in relational learning: A Bayesian model of discrimination-based transitive inference. - Doug Markant (CogSci, 2021)

Images, Emotions, and Credibility: Effect of Emotional Facial Images on Perceptions of News Content Bias and Source Credibility in Social Media. - Alireza Karduni; Ryan Wesslen; Douglas Markant; Wenwen Dou (CoRR, 2021)

A Bayesian cognition approach for belief updating of correlation judgement through uncertainty visualizations. - Alireza Karduni; Douglas Markant; Ryan Wesslen; Wenwen Dou (IEEE Trans. Vis. Comput. Graph., 2021)

Modeling the effect of chained study in transitive inference. - Douglas Markant (CogSci, 2022)

Effect of uncertainty visualizations on myopic loss aversion and the equity premium puzzle in retirement investment decisions. - Ryan Wesslen; Alireza Karduni; Douglas Markant; Wenwen Dou (IEEE Trans. Vis. Comput. Graph., 2022)

When do data visualizations persuade? The impact of prior attitudes on learning about correlations from scatterplot visualizations. - Douglas Markant; Milad Rogha; Alireza Karduni; Ryan Wesslen; Wenwen Dou (CHI, 2023)

Images, Emotions, and Credibility: Effect of Emotional Facial Expressions on Perceptions of News Content Bias and Source Credibility in Social Media. - Alireza Karduni; Ryan Wesslen; Douglas Markant; Wenwen Dou (ICWSM, 2023)

The Impact of Elicitation and Contrasting Narratives on Engagement, Recall and Attitude Change With News Articles Containing Data Visualization. - Milad Rogha; Subham Sah; Alireza Karduni; Douglas Markant; Wenwen Dou (IEEE Trans. Vis. Comput. Graph., 2024)

Correcting Misperceptions at a Glance: Using Data Visualizations to Reduce Political Sectarianism. - Douglas Markant; Subham Sah; Alireza Karduni; Milad Rogha; My T. Thai; Wenwen Dou (CoRR, 2025)