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Related Experiment Video

Updated: May 7, 2026

Measuring Attention and Visual Processing Speed by Model-based Analysis of Temporal-order Judgments

Measuring Attention and Visual Processing Speed by Model-based Analysis of Temporal-order Judgments

Published on: January 23, 2017

TimeBench: a data model and software library for visual analytics of time-oriented data.

Alexander Rind¹, Tim Lammarsch, Wolfgang Aigner

¹Vienna University of Technology, Institute of Software Technology & Interactive Systems.

IEEE Transactions on Visualization and Computer Graphics

|September 21, 2013

Summary

This summary is machine-generated.

Time-oriented data are crucial for Visual Analytics but often mishandled. TimeBench is a new software library offering essential structures and algorithms for complex temporal data, simplifying development.

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Area of Science:

Computer Science
Data Visualization
Software Engineering

Background:

Visual Analytics (VA) relies heavily on time-oriented data for insights in fields like healthcare and network security.
Current VA software libraries often simplify time to a basic numerical type, ignoring complexities like calendar granularities and intervals.
This necessitates repetitive implementation of temporal logic by developers in advanced VA applications.

Purpose of the Study:

To introduce TimeBench, a novel software library designed to provide foundational data structures and algorithms for handling time-oriented data in Visual Analytics.
To address the limitations of existing libraries in managing the complexities of the time domain within VA.

Main Methods:

Development of TimeBench library with expressiveness and developer accessibility as key design principles.
Evaluation through diverse application examples showcasing solutions for various time-oriented data challenges.
Conducting long-term developer studies within research and student projects to assess practical usability and effectiveness.

Main Results:

TimeBench provides robust temporal foundations, simplifying the development of advanced Visual Analytics tools.
Demonstrated ability to handle complex temporal aspects like calendar granularities and intervals effectively.
Positive feedback from developer studies highlighting improved accessibility and reduced implementation effort.

Conclusions:

TimeBench offers a valuable solution for developers working with time-oriented data in Visual Analytics.
The library enhances the expressiveness and efficiency of VA applications by providing specialized temporal data structures and algorithms.
It addresses a significant gap in current VA software, promoting more sophisticated temporal data analysis.