Design and evaluation of visual analytics interface for time series data based on direct manipulation of trajectory

Abstract

In recent years, time series data have been collected in many fields, and visual analytics interface is expected to be useful for utilizing such data. However, several issues arising when applying it to time series data should be considered. For example, when time series data is visualized using animation, collision would occur between movement of time series data itself and movement caused by interaction with users. In order to solve those issues, this paper proposes a visual analytics interface for time series data based on trajectory manipulation, which can handle temporal and spatial changes uniformly. The results of user experiment show the effectiveness of the proposed interface.