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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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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-study Areas 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: - calvarad@ai.mit.educalvarad@ai.mit.edu - teevan@ai.mit.eduteevan@ai.mit.edu
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