# Cumulative Impact of Testing Factors in Usability Tests for Human-Centered Web Design +
## 6 Results
### The Results of the Experiment and Their Interpretation  
The generalized results are presented in Table 3 (aesthetic vs. non-aesthetic design, individual testing for monotony and anxiety) and 4 (aesthetic vs. non-aesthetic design, group testing for monotony and anxiety) which describe the main outcomes of our experiment, significant results bold. Tables 5 and 6 restructure the findings and show Mann-Whitney results for individual vs. group testing. _RQ1: How does the combination of **task features** and **web aesthetics** affect user performance in terms of formation of anxiety and monotony?_  
Our results show that there are several levels on which both the effects and differences show up. Thus, when aesthetic/non-aesthetic design is juxtaposed to monotony- vs. \begin{table}
\begin{tabular}{c|c c c c c} \hline \hline
**User** & \multirow{2}{*}{**Metrics**} & **Aesthetic** & **Non-Aesthetic** & **Individual** & **Group** \\
**States** & & **Design** & **Design** & **Work** & **Work** \\ \hline \multirow{4}{*}{**Event**} & \multirow{4}{*}{**Enditional**} & \multirow{4}{*}{**Enditional**} & 0.739 & 0.315 & 0.218 & 0.912 \\  & & Calmness/arxiety & 0.353 & 0.796 & 0.280 & 0.971 \\  & & Energy/fatigue & 0.481 & 0.684 & 0.912 & 0.912 \\  & & Experiment/depression & 0.052\({}^{\dagger}\) & 0.218 & 0.247 & 0.055\({}^{\dagger}\) \\  & & Self- & & & \\  & & conf./helplessness & 0.853 & 1.000 & 0.280 & 0.315 \\ \hline \multirow{4}{*}{**Event**} & \multirow{4}{*}{**Enditional**} & \multirow{4}{*}{**Enditional**} & 0.853 & 0.579 & 0.912 & 0.853 \\  & & Calmness/arxiety & 0.353 & 0.28 & 0.739 & 1.000 \\ \cline{1-1}  & & Energy/fatigue & 0.218 & 0.436 & 0.739 & 0.912 \\ \cline{1-1}  & & Experiment/depression & 0.052\({}^{\ddagger}\) & 0.529 & 0.529 & 0.529 \\ \cline{1-1}  & & Self- & & & \\ \cline{1-1}  & & conf./helplessness & 0.796 & 0.315 & 0.123 & 0.796 \\ \hline \hline \end{tabular} \({}^{\dagger}\) the \(p\)-value comes close to 0.05.  
\end{table} 
Table 2: \(p\)-values of the Mann-Whitney U-criterion for the ’East’ vs. ’West’ macro-groups, aesthetic vs. non-aesthetic design and individual vs. group work. anxiety-inducing tasks, we see that our tasks, indeed, have in general worked as inductors of particular target emotions, as well as decreased the assessors' intellectual ability. In particular, for monotony, intellectual ability drops, and fatigue rises, while anxiety remains stable; for the state of anxiety, intellectual ability drops, and anxiety (as emotion) rises, while fatigue grows only slightly and insignificantly. In both cases, excitement may be called stable, even if, for monotony, it slightly decreases, and for anxiety, it slightly increases, which also corresponds to the nature of the tasks. However, web aesthetics (that is, efficient user-friendly design as measured by U-index) demonstrates divergent patterns in how it affects formation of two different user states. Thus, for monotony, low-quality design definitely decreases intellectual ability for both individual and group testing: \(-7.83\) (SD = 3.019) and \(-10.98\) (SD = 5.622), respectively, while high-quality design helps diminish the drop of liability in both cases. The drop is significant but small for individual testing: \(-4.12\) (1.504), and in group testing on quality web pages, intellectual ability is maintained: \(-1.76\) (6.401). For anxiety, though, the effect is reverse. Here, paradoxically but expected due to earlier research, non-efficient design better preserves intellectual ability. For both individual and group environment, the drop of intellectual ability is much weaker for non-aesthetic design: \(-16.02\) (2.791) vs. \(0.1\) (4.423) and \(-27.76\) (5.977) vs. \(-13.05\) (3.497). For individual testing, it even stays nearly unchanged. Emotional stress, as noted above, shows up in the key task-corresponding emotions: for monotony, fatigue grows, and for anxiety, emotional anxiety rises, while other emotions remain more or less stable. However, here, we also see the impact of web design quality.