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The tricky part is telling apart accidental duplicates from intentional duplicates. We may be able to get useful data from seeing if users close a lot of the duplicates they open. Also, seeing how long tabs are open could help (if a bank website is open long enough for the session to expire and a new instance is open, chances are the duplicate is not intentional). | The tricky part is telling apart accidental duplicates from intentional duplicates. We may be able to get useful data from seeing if users close a lot of the duplicates they open. Also, seeing how long tabs are open could help (if a bank website is open long enough for the session to expire and a new instance is open, chances are the duplicate is not intentional). | ||
Also, if can learn how users place and position their tabs, that could help us determine | Also, if can learn how users place and position their tabs, that could help us determine if the User's actions are deliberate. For instance, is a small gmail tab is always visible as a small window in the upper left, it is more likely to be deliberate than a gmail tab buried in a window and forgotten for several hours while the user is active on other instances. | ||
The Add-on "Tab Mix Plus" has a 'Duplicate Tab Grouping Feature' so it will reorder your Tabs (if 2 or more Pages are the same), this is handy for finding and closing them (I have over 100 Tabs most of the time). This action by "TM+" would need to be taken into account if you intend to make use of the Data to "tell apart accidental duplicates from intentional duplicates". | |||
We could use existing Statistics (not our own) to guess that a user would not look at one Page for more than a few minutes without: moving the mouse, hitting a Key, using the scrollbar (if the Page is lengthy enough), or, going to a different Tab by any other means (Javascript causes pop-up without user intervention / Crash). | |||
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