Contributions to Books:

S. Kriglstein, M. Pohl, M. Smuc:
"Pep Up Your Time Machine: Recommendations for the Design of Information Visualizations of Time-Dependent Data";
in: "Handbook of Human Centric Visualization", W. Huang (ed.); Springer, 2013, 203 - 225.

English abstract:
Representing time-dependent data plays an important role in information visualization. Time presents specific challenges for the representation of data because time is a complex and highly abstract concept. Basically, there are two ways to support reasoning about time: time can be represented by space, and time can also be represented by time (animation). From the point of view of the users, both forms of representation have their strengths and weaknesses which we will illustrate in this chapter. In recent years, a large number of visualizations has been developed to solve the problem of representing time-dependent data. Nevertheless, it is still not clear which types of visualizations support the cognitive processes of the users. It is necessary to investigate the interactions of real users with visualizations to clarify this issue. The following chapter will give an overview of empirical evaluations and recommendations for the design of visualizations for time-dependent data.

Related Projects:
Project Head Silvia Miksch:
CVAST: Centre for Visual Analytics Science and Technology (Laura Bassi Centre of Expertise)

Project Head Silvia Miksch:
EXploratory Visualization of PAtent Network Dynamics

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