King's College London

Research portal

TimeNotes: A Study on Effective Chart Visualization and Interaction Techniques for Time-Series Data

Research output: Contribution to journalArticle

James Walker, Rita Borgo, Mark W. Jones

Original languageEnglish
Pages (from-to)549
Number of pages558
Issue number1
Publication statusPublished - 31 Jan 2016

King's Authors


Collecting sensor data results in large temporal data sets which need to be visualized, analyzed, and presented. One-dimensional time-series charts are used, but these present problems when screen resolution is small in comparison to the data. This can result in severe over-plotting, giving rise for the requirement to provide effective rendering and methods to allow interaction with the detailed data. Common solutions can be categorized as multi-scale representations, frequency based, and lens based interaction techniques. In this paper, we comparatively evaluate existing methods, such as Stack Zoom [15] and ChronoLenses [38], giving a graphical overview of each and classifying their ability to explore and interact with data. We propose new visualizations and other extensions to the existing approaches. We undertake and report an empirical study and a field study using these techniques.

View graph of relations

© 2018 King's College London | Strand | London WC2R 2LS | England | United Kingdom | Tel +44 (0)20 7836 5454