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Robert SteinChief Information OfficerIndianapolis Museum of [email protected]@rjsteinhttp://www.imamuseum.org
Visitors As Data
Creating a Reinforcing Relationship with User
Engagement
VISITORSAREROBOTS
source ~donsolo
Visitor Inclusion
• No offense to Bruce, but who doesn’t want this?
VISITORSARE DATA
source ~victoriapeckham
Modes of Visitor Data
PASSIVE
ACTIVE
AGGRESSIVE
VISITOR’S ACTION
NONE
INTERNAL
COORDINATED
MUSEUM’S RESPONSE
Passive Data Generation
How Can We Get Here?
PASSIVE
ACTIVE
AGGRESSIVE
VISITOR’S ACTION
NONE
INTERNAL
COORDINATED
MUSEUM’S RESPONSE
Visitors As Data
Visitors Havethe Brain
Power WeWant
Credit: Benedict Campbell
Unfortunately, visitors aren’tclones we can direct to
do our bidding
source ~donsolo
How can visitors take part in powering their ownexperience?
source ~ mindcaster-ezzolicious
Can we create a virtuous circle with visitors that clearly expresses the value and impact of their participation?
VISITOR ENGAGEMENT
MUSEUMIMPACT
source ~m-louis
Social Tagging
www.steve.museum [email protected]
A Few Highlights
88% of tags were usefulIf you found this work using this term would you be surprised?
Museum professionalsfound most tags useful
www.steve.museum [email protected]
A Few Highlights
Tags are different than museum documentation:
86% of all tags not found in label copy
www.steve.museum [email protected]
A Few Highlights
Tags are almost always useful when they are assigned two or more times
Pretty Cool Tools
You want me to do
what?
source ~donsolo
Silly Museum… Robots are Friends
Do you really have a tour
called WTF?
Crowdsourced cropping from the V&A: http://collections.vam.ac.uk/crowdsourcing
This is Getting Easier
Steve in Action
• Funded in 2008 by the IMLS• Led by the New Media Consortium in
collaboration with IMA, Susan Chun and a host of museum partners
• A Few Project Goals– Make Social Tagging Easy– Develop Innovative New
Interfaces– Facilitate Cross-Collection
Search / Browsing
Steve in Action Features
• Simple Import (CSV, CDWA, Scraping)
• Hosted and Themable Data Collection Platform
• Powerful API Access• Cut-n-Paste Tagging
Widgets for Easy Integration
IMA’s Collection
54,000 objects in collection
2,242 objects on display (4%)
26,268 objects with images (48%)
Using Steve widgets to drive social tagging
Some are Easy to Tag
Some are not
Some are really hard…
Tagcow
• Use crowdsourcing to add tags / data to image collections
• Cost $0.15 - $0.20 per image• Tagcow uses software built on Amazon’s
Mechanical Turk to process 100,000’s of images per day.
Mechanical Turk Demographics
Source:Panos Ipeirotis - http://behind-the-enemy-lines.blogspot.com/2008/03/mechanical-turk-demographics.html
IMA and Tagcow
• IMA gave Tagcow links to about 26,000 collection objects with images
• Tagcow returned 298,668 Total Tags– 254,130 descriptive tags (28,708 distinct)– 44,538 color tags– Term Frequency: Min (1), Max(4299), Avg(8.85)– Document Frequency: Min (1) Max(134) Avg(9.94)
• 29,174 tags with more than one word
So, 300,000 tags…
can’t we just make a
Wordle
outta that?
TagCow
So how do we deal with
this stuff anyway?
• Funded in 2008 by IMLS• Led by University of Maryland in
collaboration with IMA, Susan Chun and a working group of museums.
• Studying the relationships between social tags, scholarly text and resources, and the application of trust networks to improve access to museum collections.
Can we use keywords from text as context for tags?
Can Tags help to disambiguate keywords from text?
Heirarchy for Tags
Heirarchy for Tags
Finding a Needle in the Haystack
Trust Networks for Weighting
D
B
E
C
AA Trusts B
B DOES NOT TRUST E
B Trusts CB Trusts D
D Trusts
C A INFERS Trust in B
ThankYou!