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Brynn M. Evans Stuart K. Card UCSD PARC

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 UCSD PARC

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  1. 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

  2. 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

  3. information abundance!

  4. Source: http://longtail.com

  5. 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

  6. 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.

  7. conserving attention Aggregated blog sites… RSS aggregators… Recommendation systems (amazon.com) Algorithmic Boost Search engines… Social bookmarking… Social Boost

  8. How are people using these technologies to augment their everyday information assimilation?

  9. The SEIC model (Nonaka & Takeuchi) Tacit knowledge becomes explicit by observing technology usage in the context of a task.

  10. 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

  11. recording sessions in the laboratory from the home

  12. interviews Source: Eelco Kruidenier

  13. coding video

  14. coding a segment of video…

  15. coding a segment of video…

  16. systems

  17. people do more than just read sharing other browsing reading annotating correlations

  18. 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

  19. information diet conforms to a personal long tail

  20. long tail information diet

  21. basic process of information assimilation

  22. intention: saving for self

  23. intention: self + others

  24. intention: sharing with others

  25. lowering system costs increases sharing intended recipient: Ma.gnolia Google Reader Ma.gnolia Google Notebook Media Wiki Google Notebook

  26. 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

  27. conclusions transactional costs -- user participation ++ information assimilation ++ attentional costs -- social filtering ++

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