Escalation of TRUST analysis in web

Today's generation rely heavily on Internet for fetching information of any kind. Internet, in turn is overloaded with it. On typing one search query in any search engine, thousands or even more web links are returned claiming to contain the information being sought for. Form this ocean of options, a user/requestor has to deep dive in to find the best solution to the problem being faced through his/her understanding and ability of decision-making. There are many a chances, when this procedure also involves amount of risk-taking viz. queries related to health symptoms, first-aid techniques etc. Though the information is streamlined on Internet and Web2.0, but still the problem of TRUST sustains at the user end as to what content provided by the web should be trusted and up to what extent? This paper is an endeavor to provide a solution to this persisting problem based on overall human behavior as HCI (Human-Computer Interaction) plays a vital role in forming antecedents of TRUST and risk analysis. The freshness of our contribution in this area can be analyzed from the fact that till now, to our best of knowledge, no study (except our previous contributions) on TRUST has taken the overall perspective of visitors' (other users') behavior of Web usage to necessitate the quantization of TRUST.

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