Predicting HR Management Strategies and Employee Satisfaction in Enterprises Based on Deep Generative Models
05 lut 2025
O artykule
Data publikacji: 05 lut 2025
Otrzymano: 23 wrz 2024
Przyjęty: 26 gru 2024
DOI: https://doi.org/10.2478/amns-2025-0043
Słowa kluczowe
© 2025 Ping Kang, published by Sciendo
This work is licensed under the Creative Commons Attribution 4.0 International License.
Figure 1.

Figure 2.

Figure 3.

Analysis of emotional baseline differences
Sum of squares | Mean square | ||||
---|---|---|---|---|---|
Intergroup | 0.503 | 5 | 0.163 | 0.031 | 0.958 |
Within group | 813.312 | 561 | 1.563 | - | - |
Total amount | 814.253 | 568 | - | - | - |
Experimental results of dynamic image based on cohy kanade look house
Expression | Test sample number | Correct number | Average recognition rate(%) | ||||
---|---|---|---|---|---|---|---|
Group 1 | Group 2 | Group 3 | Group 4 | Group 5 | |||
Anger | 25 | 25 | 25 | 25 | 25 | 25 | 100% |
Revulsion | 26 | 25 | 26 | 24 | 25 | 25 | 94.32% |
Fear | 35 | 34 | 33 | 35 | 35 | 34 | 95.63% |
Pleasure | 26 | 26 | 26 | 26 | 26 | 26 | 100% |
Sadness | 25 | 24 | 22 | 22 | 21 | 22 | 92.57% |
Surprise | 50 | 50 | 50 | 50 | 50 | 50 | 100% |
Summarize | 187 | 184 | 182 | 182 | 182 | 182 | 98.72% |
The variance of the emotional baseline is tested
F | df1 | df2 | sig |
---|---|---|---|
2.531 | 4 | 567 | 0.095 |
Specific emotional start frequency statistics
Group | Prediction scenario | Negative emotion(NA) | Positive emotion(PA) | ||||
---|---|---|---|---|---|---|---|
Anger | Unpleasure | Discontent | Pleasure | Excitation | Cheerfulness | ||
Group 1(n=158) | Scenario 1 | 0 | 0 | 0 | 152 (85.23%) | 15 (8.1%) | 19 (6.67%) |
Scenario 2 | 55 (26.11%) | 91 (45.33%) | 73 (28.56%) | 0 | 0 | 0 | |
Scenario 3 | 0 | 0 | 0 | 111 (72.88%) | 27 (16.59%) | 21 (10.53%) | |
Scenario 4 | 41 (24.35%) | 85 (51.99%) | 46 (26.66%) | 0 | 0 | 0 | |
Group 2(n=144) | Scenario 1 | 0 | 0 | 0 | 131 (73.54%) | 28 (16.9%) | 22 (12.55%) |
Scenario 3 | 0 | 0 | 0 | 119 (65.5%) | 32 (18.32%) | 24 (16.18%) | |
Scenario 2 | 51 (27.45%) | 83 (44.52%) | 57 (28.03%) | 0 | 0 | 0 | |
Scenario 4 | 47 (24.11%) | 83 43.21%) | 67 (32.68%) | 0 | 0 | 0 |
The difference between the test emotion intensity
Group | Emotional intensity prediction | Emotional baseline | t | d | |||
---|---|---|---|---|---|---|---|
M | SD | M | SD | ||||
Group 1(n=158) | PA1 | 4.817 | 1.244 | 4.241 | 1.237 | 3.864 |
0.518 |
NA2 | 4.75 | 1.674 | 3.452 |
0.355 | |||
Group 2(n=144) | PA1 | 4.745 | 1.405 | 4.278 | 1.165 | 2.631 |
0.351 |
NA2 | 4.77 | 1.651 | 2.225 |
0.274 | |||
Group 3 (n=152) | PA1 | 4.829 | 1.265 | 4.373 | 1.152 | 2.912 |
0.314 |
PA2 | 4.81 | 1.347 | 2.121 |
0.276 | |||
Group 4 (n=164) | NA1 | 4.873 | 1.696 | 4.352 | 1.413 | 2.543 |
0.368 |
NA2 | 4.83 | 1.547 | 2.751 |
0.388 |
Static image experiment results based on cohy kanade look library
Expression | Test sample number | Correct number | Average recognition rate(%) | ||||
---|---|---|---|---|---|---|---|
Group 1 | Group 2 | Group 3 | Group 4 | Group 5 | |||
Anger | 11 | 11 | 11 | 11 | 11 | 11 | 79.11% |
Revulsion | 24 | 24 | 24 | 24 | 24 | 24 | 91.34% |
Fear | 15 | 15 | 15 | 15 | 15 | 15 | 84.55% |
Pleasure | 25 | 25 | 25 | 25 | 25 | 25 | 98.21% |
Sadness | 50 | 50 | 50 | 50 | 50 | 50 | 100% |
Surprise | 11 | 11 | 11 | 11 | 11 | 11 | 91.81% |
Summarize | 143 | 136 | 136 | 136 | 137 | 137 | 93.52% |
Test of sequence effect of emotional prediction
Group | Situation | Emotional type | Situational sort | N | Intensity prediction | Duration prediction | ||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
M | SD | t | sig | M | SD | t | sig | |||||
Group 1(n=158) | Scenario 1 | PA1 | A | 79 | 4.955 | 1.235 | 1.757 | 0.448 | 4.41 | 1.83 | 1.744 | 0.159 |
B | 79 | 4.678 | 1.228 | 3.96 | 1.988 | |||||||
Scenario 2 | NA2 | A | 79 | 4.74 | 1.752 | 0.048 | 1.276 | 4.9 | 1.925 | 1.681 | 0.174 | |
B | 79 | 4.76 | 1.602 | 4.46 | 1.988 | |||||||
Group 2(n=144) | Scenario 3 | PA1 | A | 72 | 4.672 | 1.374 | -0.512 | 0.864 | 4.21 | 1.877 | 0.336 | 0.885 |
B | 72 | 4.817 | 1.44 | 4.15 | 1.833 | |||||||
Scenario 4 | NA2 | A | 72 | 4.8 | 1.632 | 0.369 | 1.154 | 5.18 | 1.911 | 1.34 | 0.329 | |
B | 72 | 4.8 | 1.632 | 4.83 | 1.826 | |||||||
Group 3 (n=152) | Scenario 1 | PA1 | A | 76 | 4.912 | 1.293 | 1.073 | 0.69 | 3.73 | 1.728 | -0.752 | 0.434 |
B | 76 | 4.745 | 1.236 | 3.97 | 1.687 | |||||||
Scenario 2 | PA2 | A | 76 | 4.86 | 1.246 | 0.586 | 0.992 | 3.46 | 1.985 | -1.139 | 0.26 | |
B | 76 | 4.79 | 1.188 | 3.83 | 1.97 | |||||||
Group 4 (n=164) | Scenario 3 | NA1 | A | 82 | 4.919 | 1.684 | 0.479 | 1.071 | 4.65 | 2.057 | -1.23 | 0.23 |
B | 82 | 4.827 | 1.719 | 5.07 | 1.867 | |||||||
Scenario 4 | NA2 | A | 82 | 4.88 | 1.56 | 0.494 | 1.059 | 4.81 | 1.683 | -0.306 | 0.719 | |
B | 82 | 4.79 | 1.542 | 4.92 | 1.639 |