Eye movement track law analysis method and device

Abstract

The invention provides an eye movement track law analysis method. The eye movement track law analysis method comprises the following steps: Q fixation data of a page to be surveyed are acquired, wherein the Q is a positive integer greater than 1; Q corresponding eye movement tracks are generated according to the Q fixation data respectively; the diversity factor between every two of the Q eye movement tracks is acquired; according to the diversity factor between every two of the Q eye movement tracks, the Q eye movement tracks are clustered to generate at least one eye movement track category, and at least one eye movement track law for the page to be surveyed is generated according to at least one eye movement track category. According to the eye movement track law analysis method, the fixation data are acquired and used for generating the eye movement tracks, the eye movement tracks are clustered to generate the eye movement track categories, and then the eye movement track laws are generated; concern points and a concern order of a user are reflected accurately, and support is provided for more developers in respect of website monitoring and optimization; cost of manual analysis is lowered, reliability is improved, and user experience is enhanced.

Description

technical field [0001] The invention relates to the technical field of eye movement tracking, in particular to a method and device for analyzing eye movement track rules. Background technique [0002] Eye tracking technology has been increasingly used to obtain the user's gaze track, for example, it has been widely used in browsing, operating a specific interface and other scenarios. Eye-tracking technology can obtain the user's browsing and operation interface rules through the analysis of the user's eye movement trajectory, such as points of interest and the order of attention to objects on the page, etc., and then adjust the interface layout according to the user's focus and order of attention. [0003] At present, the eye-tracking technology mainly divides the interface into multiple areas manually, and encodes each area, and then converts each eye-tracking track into a character sequence according to the code corresponding to the area of ​​interest that the eye-tracking...

AI Technical Summary

Problems solved by technology

In this method, the artificial division of the interface area is greatly affected by the division standard, and the shape information of the eye movement trajectory is discarded, so the fidelity is low, and the obtained eye movement trajectory law is difficult to accurately reflect the user's focus and attention order

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