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University of Ontario Institute of Technology

Object-centric temporal navigation for dynamic information visualizations.

Abstract

dc:description.abstract

We introduce object-centric temporal navigation for time-varying information visualizations. In our approach, navigation through time is controlled by interacting directly with any data item, enabling simultaneous exploration of the time dimension while focusing on the changing item. Subtle visualizations of a data item’s temporal trend are provided to guide navigation. To demonstrate how object-centric navigation can be designed for different types of dynamic visualizations, we created two techniques: DimpVis, for exploring changing visual variables in different information visualizations, and Glidgets, for exploring topological changes in dynamic graphs. Both techniques enable intuitive investigation of spatial queries. For example, using DimpVis to answer “Was this bar ever at 500?” in an animated bar chart, one simply has to drag the bar to that height. Comparative task-based evaluations revealed that DimpVis was quantitatively competitive to existing navigation techniques. Additionally, both Glidgets and DimpVis were overall subjectively preferred over the time slider by participants.

Degree

thesis:*
Name thesis:degree_name
Master of Science (MSc)
Discipline thesis:degree_discipline
Computer Science
Grantor
University of Ontario Institute of Technology
Year dc:date.issued
2014

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Kondo, Brittany
Advisor dc:contributor.advisor
  • Collins, Christopher

Subjects

dc:subject × 3

Rights

Language dc:language.iso
en

Identifiers

dc:identifier.*
Handle dc:identifier.uri
https://hdl.handle.net/10155/449
OAI identifier oai:identifier
oai:ontariotechu.scholaris.ca:10155/449

Chain of custody

source
Harvested from
Ontario Institute of Technology
Base URL
ontariotechu.scholaris.ca/server/oai/request
Last updated
2026-07-24
Source record
OAI-PMH GetRecord
citation

Kondo, Brittany. Object-centric temporal navigation for dynamic information visualizations.. University of Ontario Institute of Technology, 2014. https://hdl.handle.net/10155/449