Paper Info
Title
FacetLens: exposing trends and relationships to support sensemaking within faceted datasets
Abstract
Previous research has shown that faceted browsing is effective and enjoyable in searching and browsing large collections of data. In this work, we explore the efficacy of interactive visualization systems in supporting exploration and sensemaking within faceted datasets. To do this, we developed an interactive visualization system called FacetLens, which exposes trends and relationships within faceted datasets. FacetLens implements linear facets to enable users not only to identify trends but also to easily compare several trends simultaneously. Furthermore, it offers pivot operations to allow users to navigate the faceted dataset using relationships between items. We evaluate the utility of the system through a description of insights gained while experts used the system to explore the CHI publication repository as well as a database of funding grant data, and report a formative user study that identified usability issues.
Year
DOI
Venue
2009
10.1145/1518701.1518896
CHI
Keywords
Field
DocType
faceted datasets,chi publication repository,faceted dataset,pivot operation,formative user study,large collection,funding grant data,interactive visualization system,linear facet,faceted browsing,relationships,facets,interactive visualization
World Wide Web,Computer science,Usability,Sensemaking,Human–computer interaction,Interactive visualization,Funding grant,Formative assessment
Conference
Citations 
PageRank 
References 
44
1.69
14
Authors
5
Name
Order
Citations
PageRank
Bongshin Lee12738143.95
Greg Smith241119.46
George Robertson353891448.94
Mary Czerwinski45028421.65
Desney Tan54009314.29