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Personal Information Management, Personal Information Management,

Personal Information Management, - PowerPoint Presentation

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Personal Information Management, - PPT Presentation

Personal Information Retrieval Michael Bernstein Max Van Kleek David R Karger mc schraefel msbernst emax csailmitedu What is PIM Personal information management or PIM is both the practice and the study of the activities people perform to acquire organize mainta ID: 601261

structure information personal meeting information structure meeting personal exploitation context browsing note faceted capture 5pm jourknow management kwasi documents control 2007 people

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Slide1

Personal Information Management,Personal Information Retrieval?

Michael Bernstein, Max Van

Kleek

,

David R. Karger, mc

schraefel

{

msbernst

,

emax

}@

csail.mit.eduSlide2

What is PIM?Slide3

Personal information management or PIM is both the practice and the study of the activities people perform to acquire, organize, maintain, retrieve, use, and control the distribution of information items such as documents (paper-based and digital), Web pages, and email messages for everyday use to complete tasks (work-related and not) and to fulfill a person’s various roles (as parent, employee, friend, member of community, etc.).

[Jones and

Teevan

2007]Slide4

Personal information management is both the practice and the study of the activities people perform to acquire, organize, maintain, retrieve, use, and control the distribution of information items such as documents […], Web pages, and email messages […]

[Jones and

Teevan

2007]Slide5

Personal information management means getting control over your life.

[Michael Bernstein, personal communication, 10/23/2007]Slide6

Information Scraps

[in submission to ACM TOIS]

Paper Scraps

Notebooks

Wikis and Blogs

E-mail

Whiteboards

Cell Phones

todo.txt

Contact

Information

How-tos

Brainstorms

Sketches

Appointments

Recipes

How-tosSlide7

What should the IR system index?

How will the user search for it again?Slide8

HCIR in PIM

We are

not retrieving documents from a corpus!Retrieval, Reorganization, RemindingVery short, incomplete text in unusual language

Importance of lightweight interactionUser has intimate knowledge of the corpusSlide9

Outline

Motivation

Ethnographic InvestigationSystem designReflectionSlide10

Ethnographic Study

27 participants, mainly knowledge workers

Method: semi-structured interviews and artifact examinationsGoal: learn more about existing information scrap practice

[in submission to ACM TOIS]Slide11

Roles that Information Scraps PlaySlide12

What can we do

about this?Slide13

JourknowSlide14

Jourknow

Context

Structure Capture

Structure Exploitation

Quick Entry

“meeting with Kwasi at 5pm about camping”

Type: Meeting

Time: 5pm

Attendees: Kwasi

Topic: Camping

Type: Meeting

Time: 5pm

Attendees: Kwasi

Topic: CampingSlide15

Quick Entry

Enter New Note:

regina’s phone (617) 555-1234

Ctrl

Alt

SpacebarSlide16

People

[

Cutrell]

Time [Ringel

]Pictures

[Sellen

]

Location

[Rhodes]

We often remember aspects of our data extrinsic to the bits themselves

ContextSlide17

Context

Automatic context capture and association with note contents

Useful for re-contextualizing the note to divine its contents, or in re-finding the note

[Landmarks:

Ringel

], [

SenseCam

:

Gemmell

], [Chitty Chatty:

Kalnikaite

], [Remembrance Agent: Rhodes]Slide18
Slide19

Structure Capture – PidginSlide20

Structure Exploitation: Application Push

meeting w/ karger at 5 about my thesisSlide21

Structure Exploitation:

Faceted BrowsingSlide22

Structure Exploitation:

Faceted BrowsingSlide23

Structure Exploitation:

Faceted BrowsingSlide24

Structure Exploitation: Pidgin InspectionSlide25

meeting with mc

at her office at 5pm tomorrow

BEGIN

:VCALENDAR

VERSION

:1.0

BEGIN

:VEVENT

CATEGORIES

:MEETING

STATUS

:CONFIRMED

DTSTART

: 20071010T1700Z

SUMMARY

: Meeting with mc

LOCATION:

her office

CLASS:PUBLICEND:VEVENTEND:VCALENDAR

Structure extraction:

pidgins

Text and Context :

Activity capture, mining and correspondenceSlide26

Reflections and Open Questions

Faceted browsing scaling to large numbers of contextual facets

Additional tools and techniquesBringing together HCI and IR in a difficult domain to see where innovation might lieSlide27

Thank you!

jourknow.csail.mit.edu

jourknow@csail.mit.edu