SlideShare a Scribd company logo
1 of 21
Download to read offline
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 Ÿ Lincoln, Nebraska Ÿ 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.
2Cristina Pattuelli, Matt Miller, Leanora Lange, Hilary Thorsen | Pratt Institute
3Cristina Pattuelli | Pratt Institute
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.
4Cristina Pattuelli, Matt Miller, Leanora Lange, Hilary Thorsen | Pratt Institute
Automation + human curation
LINKED JAZZ 52ND STREET
5
Landing page (http://linkedjazz.org/52ndStreet/)
LINKED JAZZ 52ND STREET
6
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	

7Cristina Pattuelli, Matt Miller, Leanora Lange, Hilary Thorsen | Pratt Institute
DESIGNING A CROWDSOURCING TOOL
•  Recruiting participants
•  Retaining participants
8Cristina Pattuelli, Matt Miller, Leanora Lange, Hilary Thorsen | Pratt Institute
Understanding what
motivates people to
participate in
crowdsourcing
LINKED JAZZ 52ND STREET
9Cristina Pattuelli, Matt Miller, Leanora Lange, Hilary Thorsen | Pratt Institute
Landing page (http://linkedjazz.org/52ndStreet/)
10
4-step introduction
11Cristina Pattuelli, Matt Miller, Leanora Lange, Hilary Thorsen | Pratt Institute
12
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
14Cristina Pattuelli, Matt Miller, Leanora Lange, Hilary Thorsen | Pratt Institute
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
16Cristina Pattuelli, Matt Miller, Leanora Lange, Hilary Thorsen | Pratt Institute
Add checkmarks to musician icons when
all relationships have been assigned
17
à  Provide visual and textual indicators to give users more feedback
on task progress.
Track analysis progress on each
snippet
17
18
à Arrange musicians alphabetically.
Individual and collaborative
contributions
à Connect users with the community more effectively. 19
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
MPATTUEL@PRATT.EDU
	
  
	
  
	
  
	
  

More Related Content

What's hot

Tinder Research Report
Tinder Research ReportTinder Research Report
Tinder Research ReportHannah Carlson
 
Power Laws and Rich-Get-Richer Phenomena
Power Laws and Rich-Get-Richer PhenomenaPower Laws and Rich-Get-Richer Phenomena
Power Laws and Rich-Get-Richer PhenomenaAi Sha
 
Web2se Black et al
Web2se Black et alWeb2se Black et al
Web2se Black et alSue Black
 
Gender, Representation and Online Participation: a Quantitative Study
Gender, Representation and Online Participation: a Quantitative StudyGender, Representation and Online Participation: a Quantitative Study
Gender, Representation and Online Participation: a Quantitative StudyAndrea Capiluppi
 

What's hot (7)

Tinder Research Report
Tinder Research ReportTinder Research Report
Tinder Research Report
 
00 Social Influence Effects on Men's HIV Testing
00 Social Influence Effects on Men's HIV Testing00 Social Influence Effects on Men's HIV Testing
00 Social Influence Effects on Men's HIV Testing
 
Power Laws and Rich-Get-Richer Phenomena
Power Laws and Rich-Get-Richer PhenomenaPower Laws and Rich-Get-Richer Phenomena
Power Laws and Rich-Get-Richer Phenomena
 
Web2se Black et al
Web2se Black et alWeb2se Black et al
Web2se Black et al
 
Twitter in Academic Conferences
Twitter in Academic ConferencesTwitter in Academic Conferences
Twitter in Academic Conferences
 
Introduction to Social Network Analysis
Introduction to Social Network AnalysisIntroduction to Social Network Analysis
Introduction to Social Network Analysis
 
Gender, Representation and Online Participation: a Quantitative Study
Gender, Representation and Online Participation: a Quantitative StudyGender, Representation and Online Participation: a Quantitative Study
Gender, Representation and Online Participation: a Quantitative Study
 

Viewers also liked

The 2015 Global Economy Pulsecheck
The 2015 Global Economy PulsecheckThe 2015 Global Economy Pulsecheck
The 2015 Global Economy PulsecheckCrowdsourcing Week
 
How and why Crowdsourcing works in the Resources Industry
How and why Crowdsourcing works in the Resources IndustryHow and why Crowdsourcing works in the Resources Industry
How and why Crowdsourcing works in the Resources IndustryChris Schmid
 
2014 Global Crowdsourcing Pulsecheck: 1st Annual Survey Topline Results
2014 Global Crowdsourcing Pulsecheck: 1st Annual Survey Topline Results2014 Global Crowdsourcing Pulsecheck: 1st Annual Survey Topline Results
2014 Global Crowdsourcing Pulsecheck: 1st Annual Survey Topline ResultsCrowdsourcing Week
 
Crowdsourcing: Looking Ahead to 2015
Crowdsourcing: Looking Ahead to 2015Crowdsourcing: Looking Ahead to 2015
Crowdsourcing: Looking Ahead to 2015Crowdsourcing Week
 
Crowdsourcing the Annotation of Rumourous Conversations in Social Media
Crowdsourcing the Annotation of Rumourous Conversations in Social MediaCrowdsourcing the Annotation of Rumourous Conversations in Social Media
Crowdsourcing the Annotation of Rumourous Conversations in Social Mediaazubiaga
 
Discover the power of crowdsourcing
Discover the power of crowdsourcingDiscover the power of crowdsourcing
Discover the power of crowdsourcingPavan Kumar
 
Crowdsourcing challenges and opportunities 2012
Crowdsourcing challenges and opportunities 2012Crowdsourcing challenges and opportunities 2012
Crowdsourcing challenges and opportunities 2012xin wang
 

Viewers also liked (7)

The 2015 Global Economy Pulsecheck
The 2015 Global Economy PulsecheckThe 2015 Global Economy Pulsecheck
The 2015 Global Economy Pulsecheck
 
How and why Crowdsourcing works in the Resources Industry
How and why Crowdsourcing works in the Resources IndustryHow and why Crowdsourcing works in the Resources Industry
How and why Crowdsourcing works in the Resources Industry
 
2014 Global Crowdsourcing Pulsecheck: 1st Annual Survey Topline Results
2014 Global Crowdsourcing Pulsecheck: 1st Annual Survey Topline Results2014 Global Crowdsourcing Pulsecheck: 1st Annual Survey Topline Results
2014 Global Crowdsourcing Pulsecheck: 1st Annual Survey Topline Results
 
Crowdsourcing: Looking Ahead to 2015
Crowdsourcing: Looking Ahead to 2015Crowdsourcing: Looking Ahead to 2015
Crowdsourcing: Looking Ahead to 2015
 
Crowdsourcing the Annotation of Rumourous Conversations in Social Media
Crowdsourcing the Annotation of Rumourous Conversations in Social MediaCrowdsourcing the Annotation of Rumourous Conversations in Social Media
Crowdsourcing the Annotation of Rumourous Conversations in Social Media
 
Discover the power of crowdsourcing
Discover the power of crowdsourcingDiscover the power of crowdsourcing
Discover the power of crowdsourcing
 
Crowdsourcing challenges and opportunities 2012
Crowdsourcing challenges and opportunities 2012Crowdsourcing challenges and opportunities 2012
Crowdsourcing challenges and opportunities 2012
 

Similar to Linked Jazz 52nd Street: A LOD Crowdsourcing Tool to Reveal Connections among Jazz Artists

Will Richer Metadata Rescue Research?
Will Richer Metadata Rescue Research?Will Richer Metadata Rescue Research?
Will Richer Metadata Rescue Research?NASIG
 
Thesis PROPOSAL Defense Presentation - March 26
Thesis PROPOSAL Defense Presentation - March 26 Thesis PROPOSAL Defense Presentation - March 26
Thesis PROPOSAL Defense Presentation - March 26 Hermes Huang
 
Civic Technologies: Research, Practice, and Open Challenges
Civic Technologies: Research, Practice, and Open ChallengesCivic Technologies: Research, Practice, and Open Challenges
Civic Technologies: Research, Practice, and Open ChallengesPablo Aragón
 
Computational methods for intelligent matchmaking for knowledge work
Computational methods for intelligent matchmaking for knowledge workComputational methods for intelligent matchmaking for knowledge work
Computational methods for intelligent matchmaking for knowledge workJari Jussila
 
Using Digital Technology to Assess Quality in the Arts
Using Digital Technology to Assess Quality in the ArtsUsing Digital Technology to Assess Quality in the Arts
Using Digital Technology to Assess Quality in the ArtsCultureMetrics
 
CSCW2015 P2PU
CSCW2015 P2PUCSCW2015 P2PU
CSCW2015 P2PUJune Ahn
 
Online Search And Society: Could Your Best Friend Be Your Worst Enemy?
Online Search And Society: Could Your Best Friend Be Your Worst Enemy?Online Search And Society: Could Your Best Friend Be Your Worst Enemy?
Online Search And Society: Could Your Best Friend Be Your Worst Enemy?Rachel Noonan
 
The effect-of-social-networking-sites
The effect-of-social-networking-sitesThe effect-of-social-networking-sites
The effect-of-social-networking-sitesRam Patil
 
A Community of Quality: Using Social Network Analysis to Study University-Wid...
A Community of Quality: Using Social Network Analysis to Study University-Wid...A Community of Quality: Using Social Network Analysis to Study University-Wid...
A Community of Quality: Using Social Network Analysis to Study University-Wid...Stephanie Richter
 
Li Yingying-- Master Thesis Defense
Li Yingying-- Master Thesis DefenseLi Yingying-- Master Thesis Defense
Li Yingying-- Master Thesis DefenseYingying Li
 
Visualizing Community through Social Network Analysis
Visualizing Community through Social Network AnalysisVisualizing Community through Social Network Analysis
Visualizing Community through Social Network AnalysisStephanie Richter
 
Visual Methodologies in Participatory ICT4D
Visual Methodologies in Participatory ICT4DVisual Methodologies in Participatory ICT4D
Visual Methodologies in Participatory ICT4DSara Vannini
 
Semantic Data Retrieval: Search, Ranking, and Summarization
Semantic Data Retrieval: Search, Ranking, and SummarizationSemantic Data Retrieval: Search, Ranking, and Summarization
Semantic Data Retrieval: Search, Ranking, and SummarizationGong Cheng
 
WSI Stimulus Project: Centre for longitudinal studies of online citizen parti...
WSI Stimulus Project: Centre for longitudinal studies of online citizen parti...WSI Stimulus Project: Centre for longitudinal studies of online citizen parti...
WSI Stimulus Project: Centre for longitudinal studies of online citizen parti...Ramine Tinati
 
EDRD *6000 Netnography & eFieldnotes
EDRD *6000 Netnography & eFieldnotesEDRD *6000 Netnography & eFieldnotes
EDRD *6000 Netnography & eFieldnotesS.R. Page
 
Ethical challenges in the arts, humanities and social sciences: initial resea...
Ethical challenges in the arts, humanities and social sciences: initial resea...Ethical challenges in the arts, humanities and social sciences: initial resea...
Ethical challenges in the arts, humanities and social sciences: initial resea...C0pe
 
Organizational network analysis RIGA COMM 2019
Organizational network analysis RIGA COMM 2019Organizational network analysis RIGA COMM 2019
Organizational network analysis RIGA COMM 2019Muntis Rudzitis
 

Similar to Linked Jazz 52nd Street: A LOD Crowdsourcing Tool to Reveal Connections among Jazz Artists (20)

Organisational Network Analysis
Organisational Network AnalysisOrganisational Network Analysis
Organisational Network Analysis
 
We have a DREaM: the Developing Research Excellence & Methods network
We have a DREaM: the Developing Research Excellence & Methods networkWe have a DREaM: the Developing Research Excellence & Methods network
We have a DREaM: the Developing Research Excellence & Methods network
 
Will Richer Metadata Rescue Research?
Will Richer Metadata Rescue Research?Will Richer Metadata Rescue Research?
Will Richer Metadata Rescue Research?
 
Thesis PROPOSAL Defense Presentation - March 26
Thesis PROPOSAL Defense Presentation - March 26 Thesis PROPOSAL Defense Presentation - March 26
Thesis PROPOSAL Defense Presentation - March 26
 
Civic Technologies: Research, Practice, and Open Challenges
Civic Technologies: Research, Practice, and Open ChallengesCivic Technologies: Research, Practice, and Open Challenges
Civic Technologies: Research, Practice, and Open Challenges
 
Computational methods for intelligent matchmaking for knowledge work
Computational methods for intelligent matchmaking for knowledge workComputational methods for intelligent matchmaking for knowledge work
Computational methods for intelligent matchmaking for knowledge work
 
Using Digital Technology to Assess Quality in the Arts
Using Digital Technology to Assess Quality in the ArtsUsing Digital Technology to Assess Quality in the Arts
Using Digital Technology to Assess Quality in the Arts
 
CSCW2015 P2PU
CSCW2015 P2PUCSCW2015 P2PU
CSCW2015 P2PU
 
Online Search And Society: Could Your Best Friend Be Your Worst Enemy?
Online Search And Society: Could Your Best Friend Be Your Worst Enemy?Online Search And Society: Could Your Best Friend Be Your Worst Enemy?
Online Search And Society: Could Your Best Friend Be Your Worst Enemy?
 
The effect-of-social-networking-sites
The effect-of-social-networking-sitesThe effect-of-social-networking-sites
The effect-of-social-networking-sites
 
A Community of Quality: Using Social Network Analysis to Study University-Wid...
A Community of Quality: Using Social Network Analysis to Study University-Wid...A Community of Quality: Using Social Network Analysis to Study University-Wid...
A Community of Quality: Using Social Network Analysis to Study University-Wid...
 
Li Yingying-- Master Thesis Defense
Li Yingying-- Master Thesis DefenseLi Yingying-- Master Thesis Defense
Li Yingying-- Master Thesis Defense
 
Visualizing Community through Social Network Analysis
Visualizing Community through Social Network AnalysisVisualizing Community through Social Network Analysis
Visualizing Community through Social Network Analysis
 
Visual Methodologies in Participatory ICT4D
Visual Methodologies in Participatory ICT4DVisual Methodologies in Participatory ICT4D
Visual Methodologies in Participatory ICT4D
 
Semantic Data Retrieval: Search, Ranking, and Summarization
Semantic Data Retrieval: Search, Ranking, and SummarizationSemantic Data Retrieval: Search, Ranking, and Summarization
Semantic Data Retrieval: Search, Ranking, and Summarization
 
WSI Stimulus Project: Centre for longitudinal studies of online citizen parti...
WSI Stimulus Project: Centre for longitudinal studies of online citizen parti...WSI Stimulus Project: Centre for longitudinal studies of online citizen parti...
WSI Stimulus Project: Centre for longitudinal studies of online citizen parti...
 
EDRD *6000 Netnography & eFieldnotes
EDRD *6000 Netnography & eFieldnotesEDRD *6000 Netnography & eFieldnotes
EDRD *6000 Netnography & eFieldnotes
 
Ethical challenges in the arts, humanities and social sciences: initial resea...
Ethical challenges in the arts, humanities and social sciences: initial resea...Ethical challenges in the arts, humanities and social sciences: initial resea...
Ethical challenges in the arts, humanities and social sciences: initial resea...
 
Organizational network analysis RIGA COMM 2019
Organizational network analysis RIGA COMM 2019Organizational network analysis RIGA COMM 2019
Organizational network analysis RIGA COMM 2019
 
Chapter 16
Chapter 16Chapter 16
Chapter 16
 

Recently uploaded

Powerpoint exploring the locations used in television show Time Clash
Powerpoint exploring the locations used in television show Time ClashPowerpoint exploring the locations used in television show Time Clash
Powerpoint exploring the locations used in television show Time Clashcharlottematthew16
 
Artificial intelligence in cctv survelliance.pptx
Artificial intelligence in cctv survelliance.pptxArtificial intelligence in cctv survelliance.pptx
Artificial intelligence in cctv survelliance.pptxhariprasad279825
 
Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 365
Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 365Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 365
Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 3652toLead Limited
 
Kotlin Multiplatform & Compose Multiplatform - Starter kit for pragmatics
Kotlin Multiplatform & Compose Multiplatform - Starter kit for pragmaticsKotlin Multiplatform & Compose Multiplatform - Starter kit for pragmatics
Kotlin Multiplatform & Compose Multiplatform - Starter kit for pragmaticscarlostorres15106
 
My Hashitalk Indonesia April 2024 Presentation
My Hashitalk Indonesia April 2024 PresentationMy Hashitalk Indonesia April 2024 Presentation
My Hashitalk Indonesia April 2024 PresentationRidwan Fadjar
 
costume and set research powerpoint presentation
costume and set research powerpoint presentationcostume and set research powerpoint presentation
costume and set research powerpoint presentationphoebematthew05
 
Nell’iperspazio con Rocket: il Framework Web di Rust!
Nell’iperspazio con Rocket: il Framework Web di Rust!Nell’iperspazio con Rocket: il Framework Web di Rust!
Nell’iperspazio con Rocket: il Framework Web di Rust!Commit University
 
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024BookNet Canada
 
Ensuring Technical Readiness For Copilot in Microsoft 365
Ensuring Technical Readiness For Copilot in Microsoft 365Ensuring Technical Readiness For Copilot in Microsoft 365
Ensuring Technical Readiness For Copilot in Microsoft 3652toLead Limited
 
Human Factors of XR: Using Human Factors to Design XR Systems
Human Factors of XR: Using Human Factors to Design XR SystemsHuman Factors of XR: Using Human Factors to Design XR Systems
Human Factors of XR: Using Human Factors to Design XR SystemsMark Billinghurst
 
APIForce Zurich 5 April Automation LPDG
APIForce Zurich 5 April  Automation LPDGAPIForce Zurich 5 April  Automation LPDG
APIForce Zurich 5 April Automation LPDGMarianaLemus7
 
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks..."LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...Fwdays
 
Pigging Solutions in Pet Food Manufacturing
Pigging Solutions in Pet Food ManufacturingPigging Solutions in Pet Food Manufacturing
Pigging Solutions in Pet Food ManufacturingPigging Solutions
 
Bun (KitWorks Team Study 노별마루 발표 2024.4.22)
Bun (KitWorks Team Study 노별마루 발표 2024.4.22)Bun (KitWorks Team Study 노별마루 발표 2024.4.22)
Bun (KitWorks Team Study 노별마루 발표 2024.4.22)Wonjun Hwang
 
SQL Database Design For Developers at php[tek] 2024
SQL Database Design For Developers at php[tek] 2024SQL Database Design For Developers at php[tek] 2024
SQL Database Design For Developers at php[tek] 2024Scott Keck-Warren
 
Designing IA for AI - Information Architecture Conference 2024
Designing IA for AI - Information Architecture Conference 2024Designing IA for AI - Information Architecture Conference 2024
Designing IA for AI - Information Architecture Conference 2024Enterprise Knowledge
 
Beyond Boundaries: Leveraging No-Code Solutions for Industry Innovation
Beyond Boundaries: Leveraging No-Code Solutions for Industry InnovationBeyond Boundaries: Leveraging No-Code Solutions for Industry Innovation
Beyond Boundaries: Leveraging No-Code Solutions for Industry InnovationSafe Software
 
CloudStudio User manual (basic edition):
CloudStudio User manual (basic edition):CloudStudio User manual (basic edition):
CloudStudio User manual (basic edition):comworks
 
My INSURER PTE LTD - Insurtech Innovation Award 2024
My INSURER PTE LTD - Insurtech Innovation Award 2024My INSURER PTE LTD - Insurtech Innovation Award 2024
My INSURER PTE LTD - Insurtech Innovation Award 2024The Digital Insurer
 

Recently uploaded (20)

Powerpoint exploring the locations used in television show Time Clash
Powerpoint exploring the locations used in television show Time ClashPowerpoint exploring the locations used in television show Time Clash
Powerpoint exploring the locations used in television show Time Clash
 
Artificial intelligence in cctv survelliance.pptx
Artificial intelligence in cctv survelliance.pptxArtificial intelligence in cctv survelliance.pptx
Artificial intelligence in cctv survelliance.pptx
 
Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 365
Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 365Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 365
Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 365
 
Kotlin Multiplatform & Compose Multiplatform - Starter kit for pragmatics
Kotlin Multiplatform & Compose Multiplatform - Starter kit for pragmaticsKotlin Multiplatform & Compose Multiplatform - Starter kit for pragmatics
Kotlin Multiplatform & Compose Multiplatform - Starter kit for pragmatics
 
My Hashitalk Indonesia April 2024 Presentation
My Hashitalk Indonesia April 2024 PresentationMy Hashitalk Indonesia April 2024 Presentation
My Hashitalk Indonesia April 2024 Presentation
 
E-Vehicle_Hacking_by_Parul Sharma_null_owasp.pptx
E-Vehicle_Hacking_by_Parul Sharma_null_owasp.pptxE-Vehicle_Hacking_by_Parul Sharma_null_owasp.pptx
E-Vehicle_Hacking_by_Parul Sharma_null_owasp.pptx
 
costume and set research powerpoint presentation
costume and set research powerpoint presentationcostume and set research powerpoint presentation
costume and set research powerpoint presentation
 
Nell’iperspazio con Rocket: il Framework Web di Rust!
Nell’iperspazio con Rocket: il Framework Web di Rust!Nell’iperspazio con Rocket: il Framework Web di Rust!
Nell’iperspazio con Rocket: il Framework Web di Rust!
 
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
 
Ensuring Technical Readiness For Copilot in Microsoft 365
Ensuring Technical Readiness For Copilot in Microsoft 365Ensuring Technical Readiness For Copilot in Microsoft 365
Ensuring Technical Readiness For Copilot in Microsoft 365
 
Human Factors of XR: Using Human Factors to Design XR Systems
Human Factors of XR: Using Human Factors to Design XR SystemsHuman Factors of XR: Using Human Factors to Design XR Systems
Human Factors of XR: Using Human Factors to Design XR Systems
 
APIForce Zurich 5 April Automation LPDG
APIForce Zurich 5 April  Automation LPDGAPIForce Zurich 5 April  Automation LPDG
APIForce Zurich 5 April Automation LPDG
 
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks..."LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...
 
Pigging Solutions in Pet Food Manufacturing
Pigging Solutions in Pet Food ManufacturingPigging Solutions in Pet Food Manufacturing
Pigging Solutions in Pet Food Manufacturing
 
Bun (KitWorks Team Study 노별마루 발표 2024.4.22)
Bun (KitWorks Team Study 노별마루 발표 2024.4.22)Bun (KitWorks Team Study 노별마루 발표 2024.4.22)
Bun (KitWorks Team Study 노별마루 발표 2024.4.22)
 
SQL Database Design For Developers at php[tek] 2024
SQL Database Design For Developers at php[tek] 2024SQL Database Design For Developers at php[tek] 2024
SQL Database Design For Developers at php[tek] 2024
 
Designing IA for AI - Information Architecture Conference 2024
Designing IA for AI - Information Architecture Conference 2024Designing IA for AI - Information Architecture Conference 2024
Designing IA for AI - Information Architecture Conference 2024
 
Beyond Boundaries: Leveraging No-Code Solutions for Industry Innovation
Beyond Boundaries: Leveraging No-Code Solutions for Industry InnovationBeyond Boundaries: Leveraging No-Code Solutions for Industry Innovation
Beyond Boundaries: Leveraging No-Code Solutions for Industry Innovation
 
CloudStudio User manual (basic edition):
CloudStudio User manual (basic edition):CloudStudio User manual (basic edition):
CloudStudio User manual (basic edition):
 
My INSURER PTE LTD - Insurtech Innovation Award 2024
My INSURER PTE LTD - Insurtech Innovation Award 2024My INSURER PTE LTD - Insurtech Innovation Award 2024
My INSURER PTE LTD - Insurtech Innovation Award 2024
 

Linked Jazz 52nd Street: A LOD Crowdsourcing Tool to Reveal Connections among Jazz Artists

  • 1. 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 Ÿ Lincoln, Nebraska Ÿ July 17, 2013
  • 2. 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. 2Cristina Pattuelli, Matt Miller, Leanora Lange, Hilary Thorsen | Pratt Institute
  • 3. 3Cristina Pattuelli | Pratt Institute
  • 4. 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. 4Cristina Pattuelli, Matt Miller, Leanora Lange, Hilary Thorsen | Pratt Institute Automation + human curation
  • 5. LINKED JAZZ 52ND STREET 5 Landing page (http://linkedjazz.org/52ndStreet/)
  • 6. LINKED JAZZ 52ND STREET 6 Task interface
  • 7. 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 7Cristina Pattuelli, Matt Miller, Leanora Lange, Hilary Thorsen | Pratt Institute
  • 8. DESIGNING A CROWDSOURCING TOOL •  Recruiting participants •  Retaining participants 8Cristina Pattuelli, Matt Miller, Leanora Lange, Hilary Thorsen | Pratt Institute Understanding what motivates people to participate in crowdsourcing
  • 9. LINKED JAZZ 52ND STREET 9Cristina Pattuelli, Matt Miller, Leanora Lange, Hilary Thorsen | Pratt Institute Landing page (http://linkedjazz.org/52ndStreet/)
  • 11. 11Cristina Pattuelli, Matt Miller, Leanora Lange, Hilary Thorsen | Pratt Institute
  • 14. 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 14Cristina Pattuelli, Matt Miller, Leanora Lange, Hilary Thorsen | Pratt Institute
  • 15. 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
  • 16. PLANNED IMPROVEMENTS 16Cristina Pattuelli, Matt Miller, Leanora Lange, Hilary Thorsen | Pratt Institute
  • 17. Add checkmarks to musician icons when all relationships have been assigned 17 à  Provide visual and textual indicators to give users more feedback on task progress. Track analysis progress on each snippet 17
  • 18. 18 à Arrange musicians alphabetically.
  • 19. Individual and collaborative contributions à Connect users with the community more effectively. 19
  • 20. 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
  • 21. 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 MPATTUEL@PRATT.EDU