Examining the Validity of the Exemplar-Based Classifier in Identifying Decision Strategy with Eye-Movement Data

摘要: In this study, an exemplar-based classifier was developed to predict which decision strategy may underlie empirical ocular search behavior. Our rationale mainly inspired by the models of categorization; that is, different strategies are conceived as concepts, with exemplar referring sequence fixations on information during a process. order ascertain best each for our classifier, Tabu algorithm applied. An eyetracking based experiment conducted collect fixation data training and validation. result showed has significant accuracy in identifying underlying strategies, achieving average hit-ratio 76%. This indicated us integration certain applicable value leveraging adaptability DSSs. also some important implications direction methodology behavioral research