Surviving the Information Explosion - PowerPoint PPT Presentation

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Surviving the Information Explosion

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'Guided tour' of subject's bookmarks, email, and file system. Goals: ... Using a bookmark: 57% of accesses. Typing a URL: 20% of accesses ... – PowerPoint PPT presentation

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Title: Surviving the Information Explosion


1
Surviving the Information Explosion
  • Christine Alvarado and Jaime Teevan

2
Overview
  • Motivation
  • Background
  • Our study
  • Preliminary results
  • Future work

3
Let Us Interview You!
  • Email
  • Whats the last email you read? What did you do
    with it?
  • Have you gone back to an email youve read before?
  • Files
  • Whats the last file you looked at? How did you
    get to it?
  • Have you searched for a file?
  • Web
  • Whats the last Web page you visited? How did you
    get there?
  • Have you searched for anything on the Web?

4
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

5
Limited Organizational Tools
6
Limited Organizational Tools
  • Many separate tools
  • Limited organizational support
  • Organizational burden on user
  • Information overwhelms tools

7
HaystackPersonal Information Storage
Web pages
Email
Files
Calendar
Contacts
8
HaystackPersonal Information Storage
What was that paper I read last week about
Information Retrieval?
Haystack
9
HaystackPersonal Information Storage
Ah yes! Thank you.
Haystack
10
User Interface
Microsoft Outlook
Pine
11
User Study Goals
  • Search
  • Frequency
  • Type
  • Organization
  • Patterns
  • Use

12
Pre-Study Summer 2001Setup
  • 6 subjects
  • Observed/recorded working for 1-2 hours
  • Follow-up interview

13
Pre-studyAreas to Explore
  • Window placement
  • Desktop organization
  • Context switches
  • Navigation
  • Searches

14
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

15
Whittaker and Hirshberg, 2001
  • Method
  • Web survey, 50 ATT employees
  • Follow-up interview, 14 employees
  • Goal
  • Determine attitudes toward paper information
    organization
  • Results
  • Obsolescence
  • Uniqueness
  • Filers vs. Pilers

16
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

17
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

18
Long Interviews
  • Guided tour of subjects bookmarks, email, and
    file system
  • Goals
  • Discover organizational patterns
  • Relate organization to
  • search/browse behavior
  • Discover problems in
  • organizational structure

19
Remember Your Answers?
  • Results based on 85 short interviews
  • Getting to a Web page
  • Using a bookmark 57 of accesses
  • Typing a URL 20 of accesses
  • 19 of above followed links from there
  • 3 out of 13 Web searches are for information
    that the user has seen before
  • 64 of searched for email is found in the users
    Inbox

20
Results
  • Quantitative
  • Numbers, counts
  • Reproducible
  • Qualitative
  • Anecdotes
  • Building hypotheses
  • Categorization of behaviors

21
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

22
Search Future Work
  • Causes of failure
  • Previously viewed information
  • Additional cues used for retrieval
  • Function of browsing during search

23
Organization Future Work
  • Consistency of organization across types
  • Context used in organization
  • Organizations effect on search

24
Haystack Applying What We Learn
  • Verify our conclusions
  • Boundaries between information types
  • Automation versus support
  • Interaction between search and browsing

25
Questions?
Contact us with comments - calvarad_at_ai.mit.edu
- teevan_at_ai.mit.edu
To learn more about Haystack http//haystack.lcs.
mit.edu
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