The 26th Annual CHI Conference on Human Factors in Computing Systems

Augmented Information Assimilation: Social and Algorithmic Web Aids for the Information Long Tail

author: Brynn M. Evans, University of California, San Diego

Description

This study examines how users integrate new World Wide Webservices, such as social bookmarking, with everyday information assimilation practices.

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*Slides*
0:00	Augmented information assimilation:social and algorithmic web aids for the information long tail
0:28	information overload?
1:02	information abundance!
1:44	The New Marketpalce
2:13	economics of abundance (1)
2:40	economics of abundance (2)
3:19	conserving attention
3:55	How are people using these technologies to augment their everyday information assimilation?
5:47	The SEIC model (Nonaka & Takeuchi)
6:11	subject sample
6:41	recording sessions
7:33	interviews
8:09	coding video
9:29	coding a segment of video… (1)
11:04	coding a segment of video… (2)
12:21	systems
13:23	people do more than just read
14:14	small number of general, online tasks
16:09	information diet conforms to a personal long tail
17:14	long tail information diet
17:52	basic process of information assimilation
18:36	intention: saving for self
19:22	intention: self + others
19:32	intention: sharing with others
20:01	lowering system costs increases sharing
21:46	conclusions (1)
22:26	conclusions (2)

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