Augmented information assimilation : social and algorithmic web aids for the information long tail. Brynn M. Evans Stuart K. Card UCSD PARC. April 9, 2008 CHI 2008: Florence, Italy. information overload?. 1,000,000,000. Global per capita content. 100,000,000.
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Brynn M. Evans Stuart K. Card
Global per capita content
Human Long-term Memory Capacity
… A rabbit-rich world is a lettuce-poor world, and vice versa.
The obverse of a population problem is a scarcity problem, hence a resource-allocation problem. There is only so much lettuce to go around, and it will have to be allocated somehow among the rabbits …
Similarly, in an information-rich world, the wealth of information means a dearth of something else: a scarcity of whatever it is that information consumes.
What information consumes is rather obvious; it consumes the attention of its recipients.
Hence a wealth of information creates a poverty of attention, and a need to allocate efficiently among the overabundance of information sourcesthat might consume it.
Simple way to measure attention is time spent on something.
Aggregated blog sites…
Recommendation systems (amazon.com)
How are people using these technologies to augment their everyday information assimilation?
Tacit knowledge becomes explicit by observing technology usage in the context of a task.
primary systems (#users)
Google Notebook (2)
Google Reader (1)
N = 11, 3 females
age range: 18-43
mean age: 31 yrs
in the laboratory
from the home
Source: Eelco Kruidenier
e.g., looking at news, Flickr photos
monitoring specific topics
e.g., furniture on Craigslist, updates on the iPhone
e.g., e-discovery, rugby, hotels
refinding old information
e.g., last year’s poster tips
social distribution and influence
e.g., sharing information with various communities
a personal long tail
Information assimilation is more than foraging,
also organizing and sharing
People use social and algorithmic tools
to reduce attention to take advantage
of information abundance
transactional costs --
user participation ++
attentional costs --
social filtering ++