## 4 Case Study
### Discussion  
#### 4.3.1 Compatibility between Value Structure and Network Analysis  
Although network analysis has been applied to various fields, the results of network analysis must be checked to determine whether they agree with value structuring or not. In the field of social network analysis, nodes are main agents that can have relationships with other agents, including humans and animals. Of course, in some network analyses, abstract concepts such as web pages have been used as nodes [26]. Regardless, nodes and edges should be carefully designated. In this study, constructs were defined as nodes, while associations among the constructs were defined as edges. Constructs include heterogeneous elements such as values or design components, while associations among the constructs strictly represent implicit relationships among the elements. Consequently, associations among the constructs form the groundwork for the application of network analysis to value structuring. Note that, as a widely-used methodology in the field of psychology, \begin{table}
\begin{tabular}{c c c c} \hline \hline
**Dependent Variable** & \(\mathbf{R^{2}}\) & **Max. VIF *** & **Model Equation** \\ \hline Overall UX & 0.78 & 2.362 & \(4.77+0.505\times\text{Convenience}+0.346\times\text{Fun}-0.68\times\text{ Fatigue}\) \\ \hline \multirow{2}{*}{Convenience} & \multirow{2}{*}{0.71} & \multirow{2}{*}{5.468} & \(2.765-0.046\times\text{Practiced}+0.083\times\text{Learnability}+0.091\times\text{ Doubtful}-0.446\times\text{Tension}+0.623\times\text{Desire}\) to use \(-0.02\times\text{Cesture}\) shape \\ \hline \multirow{2}{*}{Fun} & \multirow{2}{*}{0.69} & \multirow{2}{*}{3.100} & \(-0.385+0.116\times\text{Tension}+0.566\times\text{Easy}+0.768\times\text{ Gesture}\) \\  & & & \(\text{shape}-0.355\times\text{New}\) \\ \hline \multirow{3}{*}{Fatigue} & \multirow{3}{*}{0.60} & \multirow{3}{*}{7.192} & \(7.906-0.125\times\text{Limited}-0.189\times\text{Range of motion}-0.021\) \\  & & & \(\times\text{Stressful}+0.062\times\text{Desire}\) to use \(-0.025\times\text{Learnability}+0.08\times\text{Exactness}+0.111\times\text{Subtle}-0.317\times\text{Type of control}\) \\  & & & \(+\) 0.103 \(\times\text{Seamless}+0.034\times\text{Error}\) \\ \hline \hline \end{tabular}
* Max. indicate maximum.  
\end{table} 
Table 6: Model equations extracted from node strengths. \begin{table}
\begin{tabular}{l l} \hline \hline
**Dimension** & **Definition** \\ \hline Convenience & The system is convenient for me \\ Practiced & There are many features that I practiced in using \\ Learnability & I can learn to use this system very quickly \\ Doubtful & I am doubtful about using the system \\ Tension & I feel quite tense when I use this system \\ Desire to use & I have a desire to use the system \\ Gesture shape & Gesture shapes used in this system are intuitive or novel \\ Fun & The interface of this system is fun to use \\ Easy & I think the system is easy to use \\ New & I am attracted to novel features \\ Fatigue & I feel physical fatigue when I use this system \\ Limited & The extent of use is limited \\ Range of motion & The system covers the wide range of motion \\ Stressful & Using this system is stressful \\ Exactness & The system can recognize user intention exactly \\ Subtle & I can convey subtle and delicate expressions to the system \\ Type of control & Type of control itself seems to be easy and convenient \\ Seamless & An interaction with the system works in a seamless manner \\ Error & Many errors occur when I use the system \\ Independent & The system does not depend on a specific device or service \\ Overall & Overall, I am satisfied with this system \\ \hline \hline \end{tabular}
\end{table} 
Table 5: Influential value dimensions and their definitions. the implicit-association test (IAT) assumes that associations among mental representations of objects have various strengths [38], and forms a similar structure to the one proposed in this study. In spite of their compatibility, there are two limitations of value structures built using network analysis.