More! A Social Discovery Tool for Researchers

ED-MEDIA 2010 | July 2, 2010

Gonzalo ParraErik Duval

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WHY?

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SCIENCE 2.0?RESEARCH 2.0?

http://en.wikipedia.org/wiki/Science_2.0

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SCIENCE 2.0?RESEARCH 2.0?

• it creates conversations between researchers

• lets them discuss the data and connect it with other data that might be relevant

• Web 2.0 permits scientists to create digitized conversations that provide context for the data

http://en.wikipedia.org/wiki/Science_2.0

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OUR VIEW ON RESEARCH 2.0

• openness and sharing

• mash-up of data and services

• web2.0 applications

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OPEN DATA

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OPEN PUBLISHING

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APPLICATIONS

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... http://academicexperts.org/Friday 2 July 2010

OUR CONTRIBUTION

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DISCOVER & CONNECT

Scenario

A researcher is attending a conference presentation and is interested in the topic and the speaker

Problem

Finding more information about them is currently done in an ad hoc way

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OUR INSPIRATION: SHAZAM

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OUR INSPIRATION: SHAZAM

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OUR INSPIRATION: SHAZAM

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OUR INSPIRATION: SHAZAM

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SHAZAM FOR CONFERENCES

• Fingerprint: Quick Response (QR) code

• Exposed information:

• researcher: full name, photo, email and affiliation

• work: paper, slides and publication list

• social handles: Twitter, SlideShare, blog, Delicious, Facebook, LinkedIn,...

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MORE!

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MORE!

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MORE!

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MORE!

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HOW DOES IT WORK?

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http://ariadne.cs.kuleuven.be/more/index.php?id=parra_gFriday 2 July 2010

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EVALUATION

• Focus on usability and functionality

• 2 different target audiences

• 20 computer science students (scenario)

• 15 workshop participants

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EVALUATION

Browser OS Visits (%)

Safari

iPhone 45,24

SafariiPod 7,14

SafariMacOS 23,81

Safari

Android 4,76

Firefox

Windows 7,14

Firefox MacOS 4,76Firefox

Linux 4,76

Opera MacOS 2,38

Learn speaker’s work

Easily follow ppt

Easy to use

Satisfaction

1 2 3 4 5

Students Researchers

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CONCLUSIONS

• The “More!” application provides a mobile on-site discovery tool for researchers

• Simple and easy to use tool

• Helps to know more about the speaker

• Web application approach proved to be useful

• Discover different scenarios that were not considered

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CONCLUSIONS

• Weaknesses

• QR codes usage

• Data dependency

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CURRENT WORK

Backend: research.fm Front-end: Image recognition

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FURTHER WORK

• Automatic data gathering.

• information extraction from scientific papers

• retrieval of researcher’s information

• Understanding the experience!

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WE ENCOURAGE YOU TO...

• share your More! data

• http://sites.google.com/site/kulmoreapp/

• provide data, services or applications to share/use from others?

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http://ariadne.cs.kuleuven.be/more/index.php?id=parra_g

QUESTIONS?

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THANKS!http://ariadne.cs.kuleuven.be/more/index.php?id=parra_g

QUESTIONS?

Friday 2 July 2010