Table 2.
Motor elements that predict each emotion.
| Emotion | Motor element | Estimate | Stderr | Lower CL | Upper CL | Z | P-value |
|---|---|---|---|---|---|---|---|
| Anger | Effort-Weight:Strong | 1.1388 | 0.1091 | 0.9249 | 1.3527 | 10.43 | <0.0001 |
| Anger | Effort-Time:Sudden | 0.8119 | 0.1648 | 0.4889 | 1.1349 | 4.93 | <0.0001 |
| Anger | Shape-Sagital:Advance | 0.7609 | 0.2033 | 0.3624 | 1.1594 | 3.74 | 0.0002 |
| Anger | Effort-Space:Direct | 0.7511 | 0.1714 | 0.4152 | 1.0870 | 4.38 | <0.0001 |
| Fear | Shape-Sagital:Retreat | 0.8506 | 0.1013 | 0.6521 | 1.0492 | 8.40 | <0.0001 |
| Fear | Shape-Change:Condense | 0.7775 | 0.1650 | 0.4541 | 1.1008 | 4.71 | <0.0001 |
| Fear | Effort-Flow:Bind | 0.7691 | 0.1913 | 0.3942 | 1.1440 | 4.02 | <0.0001 |
| Fear | Space-Sagital:Back | 0.7355 | 0.1563 | 0.4292 | 1.0417 | 4.71 | <0.0001 |
| Fear | Shape-Horizontal:Enclose | 0.6673 | 0.1818 | 0.3110 | 1.0235 | 3.67 | 0.0002 |
| Happiness | Body-Action:Jump | 1.5676 | 0.3901 | 0.8029 | 2.3322 | 4.02 | <0.0001 |
| Happiness | Phrase-Rhythmicity:Reinitiating | 1.0527 | 0.2275 | 0.6068 | 1.4985 | 4.63 | <0.0001 |
| Happiness | Shape-Horizontal:Spread | 0.9202 | 0.1967 | 0.5348 | 1.3057 | 4.68 | <0.0001 |
| Happiness | Effort-Flow:Free | 0.9031 | 0.2024 | 0.5063 | 1.2998 | 4.46 | <0.0001 |
| Happiness | Effort-Weight:Light | 0.8489 | 0.2049 | 0.4474 | 1.2504 | 4.14 | <0.0001 |
| Happiness | Space-Vertical:Up | 0.7313 | 0.2073 | 0.3250 | 1.1376 | 3.53 | 0.0004 |
| Happiness | Shape-Vertical:Rise | 0.6943 | 0.2171 | 0.2688 | 1.1198 | 3.20 | 0.0014 |
| Sadness | Effort-Weight:Passive | 1.0635 | 0.1566 | 0.7566 | 1.3703 | 6.79 | <0.0001 |
| Sadness | Body-Action:Arms to upper body | 1.0045 | 0.1853 | 0.6414 | 1.3676 | 5.42 | <0.0001 |
| Sadness | Shape-Vertical:Sink | 0.9287 | 0.1837 | 0.5687 | 1.2888 | 5.06 | <0.0001 |
| Sadness | Body-Parts:Head | 0.7372 | 0.1888 | 0.3672 | 1.1073 | 3.91 | <0.0001 |
This table describes the motor elements that significantly predicted each emotion based on the logistic regression that was fitted to predict the emotion (anger, fear, happiness, or sadness) felt during the movement of a certain motif. The regression was fitted using each motor element score (e.g., the score for “Effort-flow: free”) as a predictor. As can be seen from the table, each emotion was predicted by a unique set of motor elements, and each motor element was a significant predictor for only one emotion: none of the motor elements significantly predicted more than one emotion. Stderr, Standard error of the estimate; LowerCL, lower confidence interval; UpperCL, upper confidence interval.