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
slide2

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
slide5

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

slide6

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.

slide7

conserving attention

Aggregated blog sites…

RSS aggregators…

Recommendation systems (amazon.com)

Algorithmic Boost

Search engines…

Social bookmarking…

Social Boost

slide9

The SEIC model (Nonaka & Takeuchi)

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

slide10

subject sample

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

slide11

recording sessions

in the laboratory

from the home

slide12

interviews

Source: Eelco Kruidenier

slide17

people do more than just read

sharing

other

browsing

reading

annotating

correlations

slide18

small number of general, online tasks

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

slide19

information diet conforms to

a personal long tail

slide25

lowering system costs increases sharing

intended recipient:

Ma.gnolia

Google Reader

Ma.gnolia

Google Notebook

Media Wiki

Google Notebook

slide26

conclusions

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

slide27

conclusions

transactional costs --

user participation ++

information

assimilation ++

attentional costs --

social filtering ++

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