Automated Detection of Geometric Structures in Gaze Data
Lynn Knippertz, Anna L. Münz, Stefan Ruzika · 2023
Automated detection of individual problem-solving strategies is mandatory for the realization of adaptive learning systems (ALS). In this context, we present a new algorithm which is able to detect dynamic geometric structures (slope triangles) in gaze data of 62 learners using automated fixation-clustering and temporal networks. Preliminary results show a promising performance for fixed bandwidth parameters of the clustering algorithm (average recall: 0.60, maximum precision: 0.66).