I know what did you do, I know what are you doing now, I know what are you looking for, and I know what are you actually thinking.
But before any panic, let us begin from the first, step by step:

With no any doubt, It is important to the owner of any advertisement at any site that knows everything about his customers, where do come up, where to go, and anything to look, and ordered many others ....


These targets can achieved by what called Eye- traching that consider as the best way to determine exactly what you are thinking when you browse the web


But these Eye- tracking - until recently - have been either technology- or cost-prohibitive for many people, and uses only to tracking what you click on.


Now researchers at Microsoft may have found an easier way to track where you are looking when you browse the Web. The new process doesn't actually utilize eye-tracking hardware, but rather uses the position of the cursor as a stand-in - where your cursor moves, where you hover, and of course sometimes where you click. According to their research, the cursor's position as actually a pretty good sign of what you're looking at and what's important, particularly when it comes to search results.


By looking at cursor data at scale in conjunction with click data, the researchers contend that this information could help improve the search experience. Cursor data can be captured for uncommon search queries, for example, where relevance is hard to gauge because of infrequent clicks.


Also, it can help identify what's described as "good abandonment," when the search itself satisfies the user's query and a clickthrough is unnecessary. (This is different than a bad search abandonment where the user didn't find anything they were looking for.)


The tests for this study were done using just JavaScript code embedded client-side within the HTML source for the results page. The script is less than a 1 KB and so would have negligible impact on the page's loading time.


Before starting off a panic here about another new way in which websites are tracking us, it's important to note that the results of these studies are based on cursor movements at scale. In other words, this isn't about tracking an individual user's intents, but rather about analyzing those based on a large number. That might mean that this sort of thing becomes part of a standard analytics package.


But for now, it's just a proof-of-concept.
Thanks: rww. and Photo credits: Flickr user Stuart Pilbrow

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