## 5 Discussion and Conclusions
### Exploration of User Activities and Strategies
Logging user route selection in these environments would allow valid behavioral data to be captured. To monitor participant movement across an area, Gridded AoI can be used (as shown in Figure 6b, or by defining some other customized examples). To hypothesize according to these data, algorithms that approximate user behavior can then be created, for example, a 360-degree raycasting visual algorithm (to provide direction-specific attractiveness in an area surrounding a vantage point based on the algorithm targeting visible objects and accessible areas of interest). If multiple 360-degree \"cameras\" such as these were placed into an environment as de facto route nodes, algorithmic conclusions on route selection can be produced and compared to real user behavior. Figure 9 shows the overall correlational trends across the variables we measured. It also demonstrates a possible method for further exploration in follow-up studies. In our procedure, no relationship between the participants' self-reported scores on the object/spatial visual scale (OSIVQ) and their objective performance in the VGE was found. No trend in the relationship between individual object-oriented visual abilities and visual recognition measured in the Object Visual Recognition Task (OVRT) was observed (Figure 8a). Contrary to our expectations, a negative non-significant trend was observed between spatial abilities and the Spatial Relations Identification Task (SRIT) (Figure 8b). In this matter, we ought to consider the small sample size of our experiment and suggest that this idea be further explored using larger samples. Reviewing the nature of experimental tasks should be also considered in order to better fulfill the theoretical requirements. Significant differences between males and females were observed in exploration time, speed and time spent pausing (Table 1). This observation may represent valuable indicators of user tendencies in VGEs and should be further explored in larger samples in respect of not only difference in sex, but also potential customization of the VGE. We also observed that people experienced in VR use were more able to identify features in the virtual reality scene measured by the Spatial Relations Identification Task (Table 2). We can assume that previous experience may possibly decrease the level of distraction in wearing an HMD, have a lower novelty effect, and reduce motion sickness and discomfort. However, it still needs to be considered that all participant movement happened within the pre-set context of user interface chosen to navigate the environment. Were the participants outfitted with a different kind of an interface (e.g., a motion-tracked controller with teleportation movement style, as opposed to a continuous-walkthrough keyboard and mouse solution), the results may have told a different story. Since a motion-tracked controller can be considered more of an extension of a human arm, along with a less abstract usability pattern compared to a keyboard, this would, e.g., acc. to [PERSON]'s model [64], allow for quicker mastering of the interface by the participants, and thus having to deal with less of an extreme of beginners/experts in user distribution. Not only was it previously shown that interfaces matter [14], but there are studies that are primarily concerned with correctness of fit of VR interfaces [65]. However, this can be disputed, to an extent, since the majority of the population is familiar with the use of computer mouse, and VR interfaces have to deal with the novelty effect. While this study is not primarily focused on user interface, repeating the experiment with different interfaces (and controlling this by the means of a questionnaire) may be a worthy follow-up. However, the act of introducing different controllers would introduce further challenges, as a different concept of movement would also change user movement patterns and the level of interactibility with the environment (effectively needing a distinction in data interpretation and implementation).