End-users publishing structured information on the web: an observational study of what, why, and how

End-users are accustomed to filtering and browsing styled collections of data on professional web sites, but they have few ways to create and publish such information architectures for themselves. This paper presents a full-lifecycle analysis of the Exhibit framework - an end-user tool which provide...

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Bibliographic Details
Main Authors: Benson, Edward (Contributor), Karger, David R. (Contributor)
Other Authors: Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory (Contributor), Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science (Contributor)
Format: Article
Language:English
Published: Association for Computing Machinery (ACM), 2015-12-23T18:27:01Z.
Subjects:
Online Access:Get fulltext
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100 1 0 |a Benson, Edward  |e author 
100 1 0 |a Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory  |e contributor 
100 1 0 |a Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science  |e contributor 
100 1 0 |a Benson, Edward  |e contributor 
100 1 0 |a Karger, David R.  |e contributor 
700 1 0 |a Karger, David R.  |e author 
245 0 0 |a End-users publishing structured information on the web: an observational study of what, why, and how 
260 |b Association for Computing Machinery (ACM),   |c 2015-12-23T18:27:01Z. 
856 |z Get fulltext  |u http://hdl.handle.net/1721.1/100508 
520 |a End-users are accustomed to filtering and browsing styled collections of data on professional web sites, but they have few ways to create and publish such information architectures for themselves. This paper presents a full-lifecycle analysis of the Exhibit framework - an end-user tool which provides such functionality - to understand the needs, capabilities, and practices of this class of users. We include interviews, as well as analysis of over 1,800 visualizations and 200,000 web interactions with these visualizations. Our analysis reveals important findings about this user population which generalize to the task of providing better end-user structured content publication tools. 
520 |a Intel Science & Technology Center for Big Data 
546 |a en_US 
655 7 |a Article 
773 |t Proceedings of the 32nd annual ACM conference on Human factors in computing systems (CHI '14)