UIST'09: Relaxed selection techniques for querying time-series graphs

Presented at UIST (ACM Symposium on User Interface Software and Technology) http://www.acm.org/uist/

PAPER ABSTRACT:
Time-series graphs are often used to visualize phenomena that change over time. Common tasks include comparing values at different points in time and searching for specified patterns, either exact or approximate. However, tools that support time-series graphs typically separate query specification from the actual search process, allowing users to adapt the level of similarity only after specifying the pattern. We introduce relaxed selection techniques, in which users implicitly define a level of similarity that can vary across the search pattern, while creating a search query with a single-gesture interaction. Users sketch over part of the graph, establishing the level of similarity through either spatial deviations from the graph, or the speed at which they sketch (temporal deviations). In a user study, participants were significantly faster when using our temporally relaxed selection technique than when using traditional techniques. In addition, they achieved significantly higher precision and recall with our spatially relaxed selection technique compared to traditional techniques.

AUTHORS:
Christian Holz, Steven Feiner
Hasso Plattner Institute, Columbia University


LINK TO PUBLICATION:
http://doi.acm.org/10.1145/1622176.1622217

ACM COPYRIGHT NOTICE. Copyright © 2009 by the Association for Computing Machinery, Inc. Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, to republish, to post on servers, or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from Publications Dept., ACM, Inc., fax +1 (212) 869-0481, or permissions@acm.org.

Category:

Science & Technology

Tags:

• time-series data

[diocrunst]

thanks for the inspiration

[asquirrellife]

nice search in graph data. are there more links?

[jackchannetshow]

cool!

[krenjoe2]

this is need sketchy graph selection of time graph where can the source download?