# SAET: The Non-Verbal Measurement Tool in User Emotional Experience
## 4 Validation of the SAET Images
### Validation Study
#### 4.2.4 Result  
The results of the first round of this validation study on the Euclidean distance between SAET images and the PAD of emotion words are shown in Table 3. The results show that after the design iterations, the Euclidean distances of PAD values for most of the images corresponding to words are the smallest, except for \"Admiration\", \"Hope\", \"Disappointment\" and \"Mildness.\" For example, the distance between the word \"Admiration\" and the image \"Gratitude\" is 0.31, while the distance to the image \"Admiration\" is 0.43, and thus smaller than the distance to the image \"Admiration\". Similarly, the distance between the word \"Resentment\" and the image \"Shame\" is 0.13, which is smaller than the distance to the image \"Resentment\", which is 0.37; the word \"Resentment\" is smaller than the distance to the image \"Shame\". The distance between the word \"Hope\" and the image \"Love\" is 0.06, respectively, which is slightly smaller than the distance (0.07) to the image \"Hope\". The distances between the word \"Disappointment\" and the images \"Pity\" and \"Distress\" are 0.11 and 0.13, respectively, which is slightly smaller than the distance to the image \"Disappointment\". The distance between the word \"Disappointment\" and the images \"Pity\" and \"Distress\" is 0.11 and 0.13 respectively, which is slightly smaller than the distance of 0.17 to the image \"Disappointment\"; the distance between the word \"Mildness\" and the image \"Relief\" is 0.09, and thus smaller than the distance of 0.19 to the image \"Mildness\". Although the Euclidean distances between these four emotions and the image are not the smallest, they are small compared to other distances.  
\begin{table}
\begin{tabular}{c c c c c c c c c c c c c c c c c c c c c c c} \hline \hline  & \multicolumn{1}{c}{Bepeposition} & \multicolumn{1}{c}{Publ.} & \multicolumn{1}{c}{Low} & \multicolumn{1}{c}{Aulticolumn{1}{c}} & \multicolumn{1}{c}{Culticolumn{1}{c}} & \multicolumn{1}{c}{Beposition} & \multicolumn{1}{c}{Beposition} & \multicolumn{1}{c}{Beposition} & \multicolumn{1}{c}{Beposition} & \multicolumn{1}{c}{Beposition} & \multicolumn{1}{c}{Beposition} & \multicolumn{1}{c}{Beposition} & \multicolumn{1}{c}{Beposition} & \multicolumn{1}{c}{Culensing} \\ \hline  & Region & 1.68 & 1.6 & 1.6 & 1.58 & 1.58 & 6.05 & 1.58 & 1.54 & 1.22 & 1.58 & 1.06 & 1.57 & 1.00 & 1.56 & 1.  
The accuracy results of the second round evaluation experiments for image selection of emotion words are shown in Table 4. The results show that all the expression designs have the highest accuracy rates, with individual accuracy rates ranging from 40% to 92%, which indicates that all of them represent the corresponding emotional word in terms of the emotional perception of the image designs. \"Pride\", \"Love\", \"Satisfaction\", \"Fear\", \"Distress\", \"Anger\", \"Shame\", and \"Gloating\"--these eight emotion images are highly accurate and do not produce ambiguities with other emotions, especially \"Love\", \"Distress\", \"Anger\". In particular, the accuracy of the three emotion images \"Love\", \"Distress\" and \"Anger\" reached over 90%.  
In addition, there are four types of emotions that are easy to confuse: \"Reproach\" and \"Anger\", \"Disappointment\" and \"Mildness\", \"Mildness\" and \"Distress\", \"Pity\" and \"Disappointment\". They are all at the same level of pleasantness, and there is no confusion between positive and negative emotions.