Implicit intention identification and classification method based on eye movement tracking

Abstract

The invention discloses an implicit intention identification and classification method based on eye movement tracking. The method comprises the following steps that a product image set is selected to act as the source of visual stimulation; areas of image (AOI) are set, the areas of image include two types of an area of image having no target and an area of image having the explicit target, and the fixation duration, the number of fixations and the pupil size of the user are acquired; a baseline model for measuring the change of the pupil size is established, the influence of the intensity change on pupil stimulation is separated by using the baseline model based on the image intensity, a reference model based on the pupil size information of the user is accordingly established and the baseline threshold is determined and two implicit intentions are distinguished: the unobjective intention and the objective intention; and the implicit intention of the user is classified into the unobjective intention and the objective intention by using a classifier based on three parameters of the fixation duration, the number of fixations and the change of the pupil size. The implicit intention identification and classification method based on eye movement tracking has the characteristics that the implicit intention of the user can be identified under different intention conditions and the identification accuracy is high.

Description

technical field [0001] The invention belongs to the technical field of human-computer interaction, and in particular relates to an implicit intent recognition and classification method based on eye movement tracking. Background technique [0002] In psychology and cognitive science, intent modeling and recognition are considered to be new models for creating human-computer interface (HCI) and human-robot interaction, and explaining users' implicit intent recognition has always been a hot spot in human-computer interaction research. Eye movements are essential movements controlled by the human cognitive system. In other words, eye movement and pupil size changes are not random, but are directly related to the visual stimuli received by the user. As a "window to the soul", eye movement is closely coupled with human cognitive processes. When people browse a visual scene, different implicit intentions lead to different eye movement patterns. According to the "eye-mind" hypoth...

AI Technical Summary

Problems solved by technology

In such studies, eye-tracking is used as a research approach to obtain people's implicit intentions, so as to provide support for product or system development, but it cannot identify implicit intentions under different intention conditions, and the recognition accuracy is low

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