Eye tracking reseach has been applied in many areas, including cognitive psychology, medicine and now it’s often used in exploring user interactions with websites in order to test usability or modeling user’s behavior.
The approaches used in analysis often have different limitations and drawbacks. In many scenarios, it’s not enough to initially pre-process and remove invalid data to get relevant results when comparing scanpaths. This problem could be caused by anomalous scanpaths identified with respect to the analyzed data. Often, significant deviations in data may distort the results of the analysis and therefore it‘s necessary to identify this type of data and analyze its origin.
In our work we focus on the comparison of scanpaths and the identification of anomalous scanpaths. Our main objective is to design and implement a method of comparison of scanpaths in order to identify local anomalous scanpaths. We believe that by combining the previously analyzed approaches, we will achieve relevant results in the proposed approach and successfully verify the proposed method in finding a common scanpath.