Paper Info
Title
Effective Interactions for Personalizing Spatial Visualizations of Collections.
Abstract
Interactive spatial visualizations powered by machine learning will help us explore and understand large collections in meaningful ways, but little is yet known about the design space of interactions. We ran a pilot user study to compare two different interaction techniques: a \"grouping?\" interaction adapted from interactive clustering, and an existing \"positioning?\" interaction. We identified three important dimensions of the interaction design space that inform future design of more intuitive and expressive interactions.
Year
DOI
Venue
2015
10.1145/2815585.2815727
UIST (Adjunct Volume)
Field
DocType
Citations 
Design space,Interaction design,Computer science,Human–computer interaction,Cluster analysis,Multimedia
Conference
0
PageRank 
References 
Authors
0.34
3
2
Name
Order
Citations
PageRank
Kenneth C. Arnold15610.31
Krzysztof Z. Gajos21837127.94