Listening to our Visitors Steve.museum and the impact of social tagging for access to online collections.   WebWise 2008, ...
Who is Steve?  <ul><li>Steve is collaboration of museums </li></ul><ul><li>Steve is exploring the effectiveness of social ...
Why Study Social Tagging? <ul><li>Can tagging help me find art easier? </li></ul><ul><li>Do visitors give museums new and ...
What Steve has been up to. <ul><li>Steve has completed the first year of a two year research grant from IMLS </li></ul><ul...
A Few Statistics <ul><li>2 Deployments of steve </li></ul><ul><ul><li>Multi-institutional </li></ul></ul><ul><ul><li>Singl...
Data Collection Overview <ul><li>Multi-Institutional Deployment </li></ul><ul><ul><li>Please visit  http://tagger.steve.mu...
Data Collection Overview <ul><li>Single Institution Deployment </li></ul><ul><ul><li>Recruited specifically by MMA </li></...
Steve Reporting Tool XML Schema for Reports
Overview of Experiments <ul><li>1. Tell Me What I’m Seeing. - Meta-Data vs. No Meta-Data </li></ul>
Meta-data or Not…
Preliminary Insights <ul><li>More Tags without Metadata </li></ul><ul><ul><li>“ Taggers who do not see metadata seem to su...
Overview of Experiments <ul><li>1a. Getting in the Groove </li></ul><ul><li>- Sets vs. No Sets </li></ul>
Sets or Not…
Preliminary Insights <ul><li>More Tags with Sets </li></ul><ul><ul><li>“ In TermSet 1 the average number of tags per work ...
Overview of Experiments <ul><li>2. What Other People Say? - Tags vs. No Tags </li></ul>
Tags +/- Meta-data
Preliminary Insights <ul><li>More Tags with Tags </li></ul><ul><ul><li>In TermSet 2 the average number of tags per work wa...
Overview of Experiments <ul><li>3. It’s My Turn to Pick! - Pick by Image and Pick by Tag </li></ul>
Pick Images to Tag
Make a Set from Tags
Some Very Early Thoughts <ul><li>Just finished the data collection for this experiment </li></ul><ul><li>Anecdotal Observa...
DEMO: Steve Tagger
Overview of Experiments <ul><li>4. Sharing is Good… - Facebook and Email Integration </li></ul>
Send to Facebook Friends
Email to a Friend
Facebook Profile Pages
Facebook App Pages
DEMO: Steve Facebook Integration
Term Review <ul><li>Term by Term classification by Institutions. </li></ul><ul><li>Useful for mapping the quality and char...
Term Review <ul><li>Classified as: </li></ul><ul><li>Useful / Not Useful for describing or finding the specific work of ar...
Term Review
Term Review
Term Review
Finding Matches <ul><li>How can we tell if these are new words or not? </li></ul><ul><ul><li>Direct match against museum o...
Finding Matches <ul><li>Use WordNet to facilitate mapping classes of terms to AAT facets </li></ul><ul><li>Attempt to find...
Steve in the Wild <ul><li>Steve is Open Source Software  and available from:  http://sourceforge.net/projects/steve-museum...
Indianapolis Museum of Art
Indianapolis Museum of Art
Indianapolis Museum of Art
ArtsConnectEd2
ArtsConnectEd2
Where’s Steve Going? <ul><li>Make Steve Easy for others to deploy </li></ul><ul><li>Investigate what it means to do In Gal...
Get to know Steve <ul><li>Visit the Steve website http://www.steve.museum   </li></ul><ul><li>Join the Steve mailing list ...
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Web Wise2008

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A talk given during the WebWise 2008 conference in Miami, FL in a session called "The Power of Discovery". This talk covers recent developments in the steve.museum social tagging research project.

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Web Wise2008

  1. 1. Listening to our Visitors Steve.museum and the impact of social tagging for access to online collections. WebWise 2008, 10:45 am – 12:15 pm 05/06/08 Robert Stein, Chief Information Officer Indianapolis Museum of Art [email_address]
  2. 2. Who is Steve? <ul><li>Steve is collaboration of museums </li></ul><ul><li>Steve is exploring the effectiveness of social tagging for accessing and documenting museum collections </li></ul>
  3. 3. Why Study Social Tagging? <ul><li>Can tagging help me find art easier? </li></ul><ul><li>Do visitors give museums new and valuable information? </li></ul><ul><li>Can tagging change the way I look at art? </li></ul>
  4. 4. What Steve has been up to. <ul><li>Steve has completed the first year of a two year research grant from IMLS </li></ul><ul><li>Steve has completed three phases of data collection experiments and is currently entering its fourth phase </li></ul><ul><li>Experiments focus on understanding the behavior of web visitors who tag art </li></ul>
  5. 5. A Few Statistics <ul><li>2 Deployments of steve </li></ul><ul><ul><li>Multi-institutional </li></ul></ul><ul><ul><li>Single Institutional </li></ul></ul><ul><ul><ul><li>Hosted by The Metropolitan Museum of Art </li></ul></ul></ul>
  6. 6. Data Collection Overview <ul><li>Multi-Institutional Deployment </li></ul><ul><ul><li>Please visit http://tagger.steve.museum </li></ul></ul><ul><ul><li>4103 users (784 registered – 3352 anonymous) </li></ul></ul><ul><ul><li>1784 Works of Art </li></ul></ul><ul><ul><li>35,776 Tags assigned </li></ul></ul>
  7. 7. Data Collection Overview <ul><li>Single Institution Deployment </li></ul><ul><ul><li>Recruited specifically by MMA </li></ul></ul><ul><ul><li>850 registered users </li></ul></ul><ul><ul><li>252 Works of Art </li></ul></ul><ul><ul><li>51,477 Tags assigned!!! </li></ul></ul>
  8. 8. Steve Reporting Tool XML Schema for Reports
  9. 9. Overview of Experiments <ul><li>1. Tell Me What I’m Seeing. - Meta-Data vs. No Meta-Data </li></ul>
  10. 10. Meta-data or Not…
  11. 11. Preliminary Insights <ul><li>More Tags without Metadata </li></ul><ul><ul><li>“ Taggers who do not see metadata seem to supply more tags. There were an average of 4.5 terms supplied when metadata was shown compared to 5.75 when only an image was shown without any description” (Trant 2007) </li></ul></ul><ul><ul><li>28% increase in tagging </li></ul></ul>
  12. 12. Overview of Experiments <ul><li>1a. Getting in the Groove </li></ul><ul><li>- Sets vs. No Sets </li></ul>
  13. 13. Sets or Not…
  14. 14. Preliminary Insights <ul><li>More Tags with Sets </li></ul><ul><ul><li>“ In TermSet 1 the average number of tags per work was 4.6 for users who saw random works, and 5.8 for users who saw sets.” (Trant 2007) </li></ul></ul><ul><ul><li>26% increase </li></ul></ul>
  15. 15. Overview of Experiments <ul><li>2. What Other People Say? - Tags vs. No Tags </li></ul>
  16. 16. Tags +/- Meta-data
  17. 17. Preliminary Insights <ul><li>More Tags with Tags </li></ul><ul><ul><li>In TermSet 2 the average number of tags per work was 7.1 for users who were shown tags from others versus 5.7 tags per work for users who were not shown other’s tags. </li></ul></ul><ul><ul><li>24.5% increase </li></ul></ul>
  18. 18. Overview of Experiments <ul><li>3. It’s My Turn to Pick! - Pick by Image and Pick by Tag </li></ul>
  19. 19. Pick Images to Tag
  20. 20. Make a Set from Tags
  21. 21. Some Very Early Thoughts <ul><li>Just finished the data collection for this experiment </li></ul><ul><li>Anecdotal Observations </li></ul><ul><ul><li>Session length appears shorter </li></ul></ul><ul><ul><li>Terms per work down </li></ul></ul><ul><ul><li>Works tagged per session down </li></ul></ul>
  22. 22. DEMO: Steve Tagger
  23. 23. Overview of Experiments <ul><li>4. Sharing is Good… - Facebook and Email Integration </li></ul>
  24. 24. Send to Facebook Friends
  25. 25. Email to a Friend
  26. 26. Facebook Profile Pages
  27. 27. Facebook App Pages
  28. 28. DEMO: Steve Facebook Integration
  29. 29. Term Review <ul><li>Term by Term classification by Institutions. </li></ul><ul><li>Useful for mapping the quality and character of terms as judged by the institution. </li></ul>
  30. 30. Term Review <ul><li>Classified as: </li></ul><ul><li>Useful / Not Useful for describing or finding the specific work of art. </li></ul><ul><li>Positive or Negative Opinions of the art </li></ul><ul><li>Misperception of the work </li></ul><ul><li>Foreign Language Term </li></ul><ul><li>Misspelling </li></ul><ul><li>Very Personal Meaning </li></ul>
  31. 31. Term Review
  32. 32. Term Review
  33. 33. Term Review
  34. 34. Finding Matches <ul><li>How can we tell if these are new words or not? </li></ul><ul><ul><li>Direct match against museum object metadata (i.e. artist, title, materials, etc…) </li></ul></ul><ul><ul><li>Direct match against thesauri (i.e. AAT, ULAN, TGN) </li></ul></ul><ul><ul><li>How about terms that aren’t direct matches? </li></ul></ul>
  35. 35. Finding Matches <ul><li>Use WordNet to facilitate mapping classes of terms to AAT facets </li></ul><ul><li>Attempt to find a distribution of terms as they relate to concepts in AAT (or NOT) </li></ul><ul><ul><li>Attributes and Properties, Built Environment, Color, Furnishings and Equipment, Materials, People, Physical and Mental Activities, Processes and Techniques, Styles and Periods, Visual and Verbal Communications </li></ul></ul>
  36. 36. Steve in the Wild <ul><li>Steve is Open Source Software and available from: http://sourceforge.net/projects/steve-museum </li></ul><ul><li>The Steve software platform has been built in such a way that other institutions can use tagging for their own websites </li></ul><ul><li>The Steve team is eager to see social tagging adopted widely among museums </li></ul>
  37. 37. Indianapolis Museum of Art
  38. 38. Indianapolis Museum of Art
  39. 39. Indianapolis Museum of Art
  40. 40. ArtsConnectEd2
  41. 41. ArtsConnectEd2
  42. 42. Where’s Steve Going? <ul><li>Make Steve Easy for others to deploy </li></ul><ul><li>Investigate what it means to do In Gallery tagging. </li></ul><ul><li>How does enthusiast tagging play a role in museums? </li></ul>
  43. 43. Get to know Steve <ul><li>Visit the Steve website http://www.steve.museum </li></ul><ul><li>Join the Steve mailing list [email_address] </li></ul><ul><li>Help a guy out! Do some tagging! http://tagger.steve.museum http://apps.facebook.com/stevemuseum </li></ul>

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