LINKED JAZZ 52ND STREET: A LOD Crowdsourcing Tool To Reveal Connections Among Jazz Artists Cristina Pattuelli, Matt Miller, Leanora Lange, Hilary Thorsen Pratt Institute, New York, NY Digital Humanities 2013 � Lincoln, Nebraska � July 17, 2013
THE LINKED JAZZ PROJECT • Linked Open Data technology applied to digital
archives of jazz history • Goal: To reveal the network of relationships among
the jazz artists as described in primary sources.
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WHY CROWDSOURCING? Automated techniques used to generate a social network. However, only humans can reliably identify the nature of the personal and professional relationships between people.
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Automation + human curation
LINKED JAZZ 52ND STREET
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Landing page (http://linkedjazz.org/52ndStreet/)
LINKED JAZZ 52ND STREET
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Task interface
DESIGNING A CROWDSOURCING TOOL • Best practices for crowdsourcing design are scarce • Methodology: survey of existing tools and literature • Major considerations: • Recruiting participants • Retaining participants
• Quality control of the data collected
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DESIGNING A CROWDSOURCING TOOL
• Recruiting participants • Retaining participants
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Understanding what motivates people to participate in crowdsourcing
LINKED JAZZ 52ND STREET
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Landing page (http://linkedjazz.org/52ndStreet/)
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4-step introduction
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Available interview transcripts
Progress bar Ego network
USABILITY TESTING Usability tests conducted with Dr. Craig MacDonald at Pratt Institute • Took 30-45 minutes to complete. • Participants: 10 • 2 team members present, also recorded. • Evaluation criteria: • Participants’ experience using the website • Website’s design & functionality • Participants’ level of engagement
• Pre-test questionnaire, 3 tasks, post-test questionnaire
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RESULTS Overall participants had a positive experience with the website; likely to visit the website again.
Website was found to be visually appealing. Participants did not always fully understand their contributions to the larger project. Participants were not fully engaged with the tool while using it. 15
PLANNED IMPROVEMENTS
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Add checkmarks to musician icons when all relationships have been assigned
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à Provide visual and textual indicators to give users more feedback on task progress.
Track analysis progress on each snippet
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18 à Arrange musicians alphabetically.
Individual and collaborative
contributions
à Connect users with the community more effectively.
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FUTURE WORK
Iterative assessment process: 1. Interface Usability 2. Content and Functionality with domain experts 3. Performance and Data quality.
Cristina Pattuelli, Matt Miller, Leanora Lange, Hilary Thorsen | Pratt Institute 20
THANK YOU Our Team: Matt Miller Lea Lange Hilary Thorsen Sean Fitzell Carolyn Li-Madeo
Special thanks to: Dr. Craig MacDonald and the Pratt SILS UX Team
Contact: CRISTINA PATTUELLI