Laurence, Paulo G.
Raijmakers, Maartje E. J.
Total Authors: 6
 Univ Amsterdam, Amsterdam - Netherlands
 Leiden Univ, Leiden - Netherlands
 Univ Prebiteriana Mackenzie, Sao Paulo - Brazil
 Vrije Univ, Amsterdam - Netherlands
Total Affiliations: 4
JOURNAL OF EYE MOVEMENT RESEARCH;
Web of Science Citations:
In cognitive tasks, solvers can adopt different strategies to process information which may lead to different response behavior. These strategies might elicit different eye movement patterns which can thus provide substantial information about the strategy a person uses. However, these strategies are usually hidden and need to be inferred from the data. After an overview of existing techniques which use eye movement data for the identification of latent cognitive strategies, we present a relatively easy to apply unsupervised method to cluster eye movement recordings to detect groups of different solution processes that are applied in solving the task. We test the method's performance using simulations and demonstrate its use on two examples of empirical data. Our analyses are in line with presence of different solving strategies in a Mastermind game, and suggest new insights to strategic patterns in solving Progressive matrices tasks. (AU)