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Abstract. Various methods and measures have been developed to assess the quality of input devices and interaction techniques. One approach to investigating the performance of input devices and interaction techniques is to focus on the quality of the produced movements. The current paper proposes a new method of analyzing goal-directed movements by dividing them into meaningful phases. In addition to the proposed analysis method a selection of measures is suggested to assess different aspects of rapidly aimed movements. In order to evaluate the added value of the proposed analysis method an experiment has been conducted to compare two input devices (mouse versus stylus with tablet) with respect to their performance on a multi-directional pointing task. The results show that the analysis into several phases reveals clear differences in the movement strategy.

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The measures that are currently used to evaluate users' performances on interaction tasks in virtual environments often do not provide sufficient information for how to improve these interactions. The current paper proposes a new method for analyzing 3D goal-directed movements based on dividing them into meaningful phases. We apply the method to experimental data that we have collected earlier for a 3D task that resembles a standardized 2D multi-directional pointing task (ISO 9241-9). Our analysis demonstrates how a more detailed insight into 3D goal-directed movements can be gained. We claim that this analysis can help to better identify weak and strong points of input devices or interaction techniques.