Chúng ta săn tìm và tích trữ thông tin giống như săn tìm và tích trữ lương thực

Hiểu biết không chỉ để mình làm một cái gì đó, mà còn để mình không làm một cái gì đó
Hiểu biết sâu làm ta thấy khoái cảm

“Informavores” constantly make decisions on what kind of information to look for, whether to stay at the current site to try to find additional information or whether they should move on to another site, which path or link to follow to the next information site, and when to finally stop the search. Although human cognition is not a result of evolutionary pressure to improve Web use, survival-related traits to respond quickly on partial information and reduce energy expenditures force them to optimize their searching behavior and, simultaneously, to minimize the thinking required.

Information scent

The most important concept in the information foraging theory is information scent.1(https://en.wikipedia.org/wiki/Information_foraging#cite_note-1)2(https://en.wikipedia.org/wiki/Information_foraging#cite_note-2) As animals rely on scents to indicate the chances of finding prey in current area and guide them to other promising patches, so do humans rely on various cues in the information environment to get similar answers. Human users estimate how much useful information they are likely to get on a given path, and after seeking information compare the actual outcome with their predictions. When the information scent stops getting stronger (i.e., when users no longer expect to find useful additional information), the users move to a different information source.

Information diet

Some tendencies in the behaviour of web users are easily understood from the information foraging theory standpoint. On the Web, each site is a patch and information is the prey. Leaving a site is easy, but finding good sites has not always been as easy. Advanced search engines have changed this fact by reliably providing relevant links, altering the foraging strategies of the users. When users expect that sites with lots of information are easy to find, they have less incentive to stay in one place. The growing availability of broadband connections may have a similar effect: always-on connections encourage this behavior, short online visits to get specific answers.

Models

Attempts have been made to develop computational cognitive models to characterize information foraging behavior on the Web.3(https://en.wikipedia.org/wiki/Information_foraging#cite_note-3)4(https://en.wikipedia.org/wiki/Information_foraging#cite_note-4)5(https://en.wikipedia.org/wiki/Information_foraging#cite_note-5) These models assume that users perceive relevance of information based on some measures of information scent, which are usually derived based on statistical techniques that extract semantic relatedness of words from large text databases. Recently these information foraging models have been extended to explain social information behavior.6(https://en.wikipedia.org/wiki/Information_foraging#cite_note-6)7(https://en.wikipedia.org/wiki/Information_foraging#cite_note-7)8(https://en.wikipedia.org/wiki/Information_foraging#cite_note-8) See also models of collaborative tagging.

Nguồn:: Information foraging - Wikipedia
Informavore - Wikipedia