More and more research is focused on analyzing gaze data to gain new insights into the cognitive processes of individuals. While earlier works conducted statistical analysis onto the recorded eye-movement data, recent research focuses on qualitative analysis based on visualization techniques. Our work introduces a visualization tool, which provides an overview of spatio-temporal gaze data recorded over space and time using a Microsoft HoloLens 2. We collected gaze data, by conducting a pilot study, in which the participants were instructed to walk in a room and look at different images placed on the wall. Based on the acquired data, we generated a space-time-cube (STC), visualizing the movement paths as well as the gaze distribution of the individual participants. We linked the STC visualization with a 3D gaze replay that shows a photogrammetry mesh of the room in which we conducted our study. The gaze replay can be used to view the behavior of the individual participants in space at different points in time. We imitate the participants' position and gaze directions in the gaze replay by visualizing a sphere for each participant. The spheres are placed in the correct position in the photogrammetry mesh according to the time point under consideration. The gaze direction is visualized by a ray that starts at the position of the sphere and ends at the gaze point of the respective participant at the respective time. To enable a broader exploration of the gaze data, we included interactive features into our visualization tool. These interactive features include toggles to load or unload the data of the participants, switches to enable different visualizations like heatmaps or scanpaths, a timeline slider to scroll through the time and many more. A case study is presented at the end of this thesis to demonstrate the different functionalities of our tool.