Surviving the Information Explosion Christine Alvarado and Jaime Teevan.

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Surviving the Information Explosion Christine Alvarado and Jaime Teevan

Transcript of Surviving the Information Explosion Christine Alvarado and Jaime Teevan.

Page 1: Surviving the Information Explosion Christine Alvarado and Jaime Teevan.

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:

- [email protected]

- [email protected]