Title
Toward a visual interface for brain connectivity analysis
Abstract
In this paper, we report on the needs for, the design of, and feedback about a web-based platform that supports flexible exploration of existing brain connectivity knowledge. We analyze the needs in brain connectivity research for an integrated visual knowledge base and discuss the design of the platform and the design rationales. Preliminary user feedback suggests diverse analytical patterns and additional needs in brain connectivity analysis, which distinguish it from generic network analysis. Finally, we describe open issues motivated by preliminary feedback and observation in designing more advanced features to support additional needs and characterizing user analysis patterns.
Year
DOI
Venue
2013
10.1145/2468356.2468672
CHI Extended Abstracts
Keywords
Field
DocType
integrated visual knowledge base,generic network analysis,brain connectivity knowledge,user analysis pattern,brain connectivity research,brain connectivity analysis,visual interface,additional need,preliminary feedback,preliminary user feedback,design rationale,visual analysis
User analysis,Visual interface,Computer science,Human–computer interaction,Network analysis,Knowledge base,Multimedia
Conference
Citations 
PageRank 
References 
0
0.34
6
Authors
6
Name
Order
Citations
PageRank
Hua Guo1564.86
Arthur Yidi200.34
Steven R. Gomez3516.66
Mark J. Schnitzer432.10
David Badre5737.92
David H. Laidlaw61781234.58