In the current highly developed information society, having a habit of rumination (repetitive and negative thinking) can be dangerous to our mental health. To prevent rumination during web browsing, the authors' previous study built an advertisement system that is regulated by a computational cognitive model and users' heart rate variability (HRV). To validate and extend the system, this paper presents analyses of behavioral and physiological data obtained from two studies where participants engaged in two successive tasks: mood induction and main tasks. Study 1 aimed to develop a detector for rumination distraction utilizing behavioral and physiological data. Owing to the SVM classification, a large contribution of gaze extracted from the facial movie was verified. To validate these findings, Study 2, in which a small number of participants engaged in the same tasks as Study 1, was conducted with a well-established eye-tracking system. Analyses of the gaze data obtained with this device confirmed high consistency with the data obtained from the facial movies, and also confirmed the influence of advertisements on participants' attention during web browsing. Summarizing the results of these studies, the current paper indicates the validity of distracting rumination by presenting prompts regulated with a personalized cognitive model.

Giri Basanta Raj

Gaze Analysis on the Effect of Intervention on Ruminative Web Browsing

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