Patterns in eyetracking scanpaths and the affecting factors

作者: Yeliz Yesilada , Sukru Eraslan

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摘要: Web pages are typically decorated with different kinds of visual elements that help sighted people complete their tasks. Unfortunately, accessing web in constrained environments, such as visually disabled and small screen device users, cannot benefit from them. In our previous work, we show tracking the eye movements users provide good understanding how use these elements. We also reengineering by using can improve people's experience constrainted environments. However, order to reengineer based on eyetracking, first need aggregate, analyse understand a group eyetracking data be combined create common scanpath (namely, movement sequence) terms This paper presents an algorithm aims achieve this. was developed iteratively experimentally evaluated study. study shows proposed is able identify patterns scanpaths it work well number participants. then extended experiments investigate effects task, gender familiarity factors scanpaths. The results suggest cause some differences suggests this improved considering techniques for preprocessing data, addressing drawbacks hierarchical structure taking into account underlying cognitive processes.

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