Surviving the Information Explosion Christine Alvarado and Jaime Teevan.
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Transcript of Surviving the Information Explosion Christine Alvarado and Jaime Teevan.
![Page 1: Surviving the Information Explosion Christine Alvarado and Jaime Teevan.](https://reader030.fdocuments.in/reader030/viewer/2022032607/56649ec55503460f94bd04ba/html5/thumbnails/1.jpg)
Surviving the Information Explosion
Christine Alvarado and Jaime Teevan
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Overview
Motivation Background Our study Preliminary results Future work
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Let Us Interview You!
Email:–What’s the last email you read? What did you do with it?–Have you gone back to an email you’ve read before?
Files:
Web:
–What’s the last file you looked at? How did you get to it?–Have you searched for a file?
–What’s the last Web page you visited? How did you get there?–Have you searched for anything on the Web?
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The Information Explosion
You must extract information from: 1.6 billion web pages [Google] Dozens of incoming emails daily Hundreds of files on your personal computer
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Limited Organizational Tools
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Limited Organizational Tools
Many separate tools Limited organizational support Organizational burden on user Information overwhelms tools
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Haystack:Personal Information Storage
Email Web pages
Files Calendar
Contacts
Haystack
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Haystack:Personal Information Storage
What was that paper I read last week about
Information Retrieval?Haystack
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Haystack:Personal Information Storage
Ah yes! Thank you.
Haystack
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User Interface
Pine
Microsoft Outlook
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User Study: Goals
Search– Frequency– Type
Organization– Patterns– Use
RATIONALE
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Pre-Study [Summer 2001]Setup
6 subjects Observed/recorded working for 1-2 hours Follow-up interview
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Pre-studyAreas to Explore
Window placement Desktop organization Context switches Navigation Searches
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Previous Work
Paper documents– [Malone, 1983], [Whittaker & Hirshberg, 2001]
Files– [Barreau & Nardi, 1995]
Web (bookmarks)– [Abrams, 1998]
Email/Calendar– [Whittaker & Snider, 1996], [Bellotti & Smith, 2000]
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Whittaker and Hirshberg, 2001
Method– Web survey, 50 AT&T employees– Follow-up interview, 14 employees
Goal– Determine attitudes toward paper information organization
Results– Obsolescence– Uniqueness– Filers vs. Pilers
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Method
Subjects– 15 MIT CS graduate students (5 women, 10 men)
Setup– 10 short interviews (~ 5 min.)– 1 long interview (~ 45 min.)
Topics– Web, Email, Files
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Short Interviews
2 question types– What was the last email/file/web page you looked
at?– Did you search for any email/file/web page?
Goal: Discover patterns in searching and browsing
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Long Interviews
“Guided tour” of subject’s bookmarks, email, and file system
Goals:– Discover organizational patterns– Relate organization to
search/browse behavior– Discover problems in
organizational structure
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Remember Your Answers?
Getting to a Web page
3 out of 13 Web searches are for information that the user has seen before 64% of searched for email is found in the user’s Inbox
– Using a bookmark: 57% of accesses
– Typing a URL: 20% of accesses
– 19% of above followed links from there
Results based on 85 short interviews
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Results
Quantitative– Numbers, counts– Reproducible
Qualitative– Anecdotes– Building hypotheses– Categorization of behaviors
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Search: Preliminary Results
Different types of searches– Directory lookup– Confirming information exists– Finding a specific piece of information (QA)– Learning about a topic (Browse)
Cross type searches Interactions with people Searching heavily relied on, very successful
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Search: Future Work
Causes of failure Previously viewed information
– Additional cues used for retrieval
Function of browsing during search
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Organization: Future Work
Consistency of organization across types Context used in organization Organization’s effect on search
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Haystack: Applying What We Learn
Verify our conclusions Boundaries between information types Automation versus support Interaction between search and browsing
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Questions?
To learn more about Haystack:
http://haystack.lcs.mit.edu
Contact us with comments: