Visual Presentation Method of Stress Evidence Paper in Conjunction with Web Article

Abstract

Modern society has seen a tremendous growth in the amount of digital data, however a database for human stress currently is not prevalent. Additionally, diagnostic criteria based on evidence, quantitative scales have not been fully established for stress. The purpose of this research is to provide visually presentation method of stress evidence paper in conjunction with web article in order to help people understand and overcome their stress. We propose a stress evidence search engine named “Kokoronoma” incorporated with i) a rate of evidence which express the relationship between the web article and the scientific paper, ii) human machine interface to show the rate of evidence visually. The fabricated stress evidence search engine was evaluated by the 10 young male users to compare with a multipurpose search engine as Google and Google Scholar. Three kinds of search problem as serotonin, mood disorder, and depression were used for the evaluation. As the results, Stress evidence paper and the rate of evidence were showed in conjunction with web article, automatically. The scores of subjective evaluation of the stress evidence search engine for visible observation images, intuitive awareness, and un-complicatedness showed higher than that of the multipurpose search engine. It was considered that the fabricated stress evidence search engine has an effective in reducing the stress of user.