Augmented information assimilation social and algorithmic web aids for the information long tail
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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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Augmented information assimilation social and algorithmic web aids for the information long tail
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

10,000,000

1,000,000

100,000

Megabits

10,000

1,000

Human Long-term Memory Capacity

100

10

1

2000

2005

2010

2015

2020

2025

2030

2035

2040

Year

  • 600 Million GB of information/year → 36 Billion GB by 2009

  • 93% is digital

  • ~8 Billion public web pages already



Source: http://longtail.com


economics of abundance

… 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 …

Herbert Simon


economics of abundance

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.

Herbert Simon

Simple way to measure attention is time spent on something.


conserving attention

Aggregated blog sites…

RSS aggregators…

Recommendation systems (amazon.com)

Algorithmic Boost

Search engines…

Social bookmarking…

Social Boost



The SEIC model everyday information assimilation? (Nonaka & Takeuchi)

Tacit knowledge becomes explicit by observing technology usage in the context of a task.


subject sample everyday information assimilation?

demographics

primary systems (#users)

del.icio.us (3)

Ma.gnolia (2)

Simpy (1)

Google Notebook (2)

Scrapbook (1)

Google Reader (1)

MediaWiki (1)

N = 11, 3 females

age range: 18-43

mean age: 31 yrs

half professionals

half students


recording sessions everyday information assimilation?

in the laboratory

from the home


interviews everyday information assimilation?

Source: Eelco Kruidenier


coding video everyday information assimilation?


coding a segment of video… everyday information assimilation?


coding a segment of video… everyday information assimilation?


systems everyday information assimilation?


people do more than just read everyday information assimilation?

sharing

other

browsing

reading

annotating

correlations


small number of general, online tasks everyday information assimilation?

staying up-to-date

e.g., looking at news, Flickr photos

monitoring specific topics

e.g., furniture on Craigslist, updates on the iPhone

specific searches

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


information diet conforms to everyday information assimilation?

a personal long tail


long tail information diet everyday information assimilation?


basic process of information assimilation everyday information assimilation?


intention: saving for self everyday information assimilation?


intention: self + others everyday information assimilation?


intention: sharing with others everyday information assimilation?


lowering system costs increases sharing everyday information assimilation?

intended recipient:

Ma.gnolia

Google Reader

Ma.gnolia

Google Notebook

Media Wiki

Google Notebook


conclusions everyday information assimilation?

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


conclusions everyday information assimilation?

transactional costs --

user participation ++

information

assimilation ++

attentional costs --

social filtering ++


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