What is it about?
An hour of data was collected from 240 Tetris players at various skill levels. A Principal Component Regression (based on the PCA) reveals behavioral changes across 16 levels of Tetris play with differences across levels shown among the lowest (n=27), mid-range (n=185) and highest (n=27) ranked players.
Featured Image
Why is it important?
Each of the 3 components captures different combinations of perception, decision-making, and action which suggest differing higher level skills, tactics, and strategies. Our work focuses on identifying the complex interactions among human cognition, perception, and action that result in the higher-order changes in skills, tactics, and strategies. The work has implications for predictive processing.
Perspectives
Our approach is one of "expertise sampling" -- namely -- taking apart expertise in a dynamic decision-making task to reveal differences between individuals in via a cross-sectional approach.
Professor Wayne D. Gray
Rensselaer Polytechnic Institute
Read the Original
This page is a summary of: Distinguishing experts from novices by the Mind’s Hand and Mind’s Eye, Cognitive Psychology, March 2019, Elsevier,
DOI: 10.1016/j.cogpsych.2018.11.003.
You can read the full text:
Contributors
The following have contributed to this page
