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Visitors As Data
1. Robert Stein Chief Information Officer Indianapolis Museum of Art rstein@imamuseum.org @rjstein http://www.imamuseum.org Visitors As Data Creating a Reinforcing Relationship with User Engagement
13. How can visitors take part in powering their own experience? source ~ mindcaster-ezzolicious
14. MUSEUM IMPACT VISITOR ENGAGEMENT Can we create a virtuous circle with visitors that clearly expresses the value and impact of their participation? source ~m-louis
16. www.steve.museum steve@steve.museum A Few Highlights Museum professionalsfound most tags useful 88% of tags were useful If you found this work using this term would you be surprised?
17. www.steve.museum steve@steve.museum A Few Highlights Tags are different than museum documentation: 86% of all tags not found in label copy
18. www.steve.museum steve@steve.museum A Few Highlights Tags are almost always useful when they are assigned two or more times
33. Generating Lots of Data Seems overwhelming! V&A has 120K images here! 30 sec/image = 120 images in 1 hr 1000 person hours This would require 5,000 people to each crop just 24 image or spend approx 12 min This is very doable
35. 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 NewInterfaces Facilitate Cross-CollectionSearch / Browsing
36. 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
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38. 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
44. 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.
45. Mechanical Turk Demographics Source:PanosIpeirotis - http://behind-the-enemy-lines.blogspot.com/2008/03/mechanical-turk-demographics.html
46. 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
52. 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.
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54. Can we use keywords from text as context for tags?Can Tags help to disambiguate keywords from text?