## 4 Results
### Quantitative Data Analysis
#### 4.2.1 Execution Time  
Table 3 shows the statistical analysis of the time required to complete the tasks at the first level. The unit of measurement for all results listed in the table is seconds. At the first level, users must pick a specific object and place it in the correct box by grabbing and releasing it. When analyzing the data of the first metric for all sublevels of the first level, significant differences were found in the time spent on the tasks. The mean and median vary between the sublevels, indicating that the tasks were of different difficulty or complexity for the participants. Since the same interaction was implemented in all sublevels, the size of the 3D object that the participants had to reach had a significant influence onthe difficulty of the tasks. Participants completed the tasks fastest in the reduced-contrast sublevel, where the mean completion time was 28.72 s, while they completed the tasks slowest in the sublevel with a shrunken object, with a mean time of 52.90 s.  
At the basic sublevel, greater variability was observed in the time spent on the tasks, indicating more challenging or complex tasks for the participants. The variability of the data is reflected in their range, which is 142.74. In the sublevel with enlarged objects, the means and medians are larger, but the range and standard deviation show less variability in the data compared to the first sublevel. This could indicate that the subject's movements are more consistent with the size of the object. The sublevel with the shrunken objects shows the highest variability in task completion time, suggesting that it was challenging for participants to reach small 3D objects. Interestingly, participants completed the tasks in the reduced-contrast sublevel almost 1.5 times faster than in the basic sublevel. This difference in speed occurred even though the 3D shapes or geometric solids were the same size in both sublevels, and the only difference was the implementation of low contrast. This result suggests that it is important to first familiarize users with the interactions they will use in the application. Familiarity with the interactions can provide them with the necessary confidence and understanding of the interactions, which can help them overcome challenges more easily, even in worse conditions. Therefore, it is important to consider the learning process of the participants in addition to the design aspects to ensure an optimal user experience. The distribution of time within the individual sublevels shows variability, with the data clustering relatively closely around the central values. This suggests that most participants had similar experiences with the speed of task completion within each sublevel. However, there are also individuals who need significantly more time for the same tasks, which could be due to different abilities or personal preferences of the participants. On the second level of the game, the user must select a geometric solid and enlarge it with both hands using the pinch gesture. The results of the statistical analysis of this level by sublevels can be found in Table 4.  
The execution time of the tasks at the sublevel with distractors was significantly higher, indicating an increased complexity of the tasks due to the presence of distracting 3D elements. The standard deviation is also higher on the sublevel with distractors (37.98 s) than on the sublevel without distractors (29.59 s), indicating greater variability in execution times between participants. This could be due to the different methods used by the participants to overcome the challenges posed by the distractors. The minimum and maximum times confirm this variability and indicate a wide range of subject experience. The IQR