University of Pittsburgh
The primary research focus of the lab is causal learning - how people learn cause-effect relationships from their experiences (e.g., this new medicine I have been trying seems to work well). We are especially interested in how people learn causal relations over time such as noticing that a cause has decreasing effectiveness (e.g., caffeine), how people account for changes in the environment when learning about a causal relationship, and how people figure out which of two variables (e.g., being depressed and being anxious) is the cause and which is the effect.
The secondary research focus is on decision making, such as when and whether human decision makers approximate normative judgment.
We are especially interested in understanding the role of causal learning and decision making in medical contexts, for example, how doctors and patients learn from their own experiences and apply that knowledge to future cases.
Kevin is a 5th year graduate student and has a Master's from University College London. He is especially interested in the interplay between time and causality, causal directionality, tipping points, and the philosophy of causality.
Cory is a 4rd year graduate student and has a Master's from Missouri State University. He is especially interested in errors of human judgment, memory, and applications to causal reasoning.
Ciara (pronounced like Keira Knightley) is an incoming graduate student and has a Master's from Seton Hall. She is especially interested in causal learning in cognitively demanding situations. She is currently studying how well people learn causal relations over 24 days.
Zac is an incoming graduate student and has a Master's from San Jose State. Zac has been working on human factors and sleep research at Nasa Ames and is especially interested in motivated reasoning and scientific beliefs. He is currently studying how well people learn ambiguous causal relations that may conflict with their personal beliefs.
|Research Methods Dojo||Tutorials for research methods students on within vs. between subjects designs, carryover, practice, and fatigue effects.|
|Causal Strength Calculators||Code for models of causal strength including Rescorla-Wagner (Rescorla & Wagner, 1972), ∆P (Jenkins & Ward, 1965), Power-PC (Cheng, 1997), and Temporal-difference (Sutton & Barto, 1987).|