Table 2.
Estimates and associated CIs predicting “Beauty” judgements
| Beauty | Model 1 | Model 2 | Model 3 |
|---|---|---|---|
|
Fixed effects [95% CI] | |||
| (Intercept) |
2.43 [2.20, 2.67] |
0.75 [0.56, 0.95] |
0.74 [0.55, 0.93] |
|
Label (Human = 1) |
0.23 [0.15, 0.31] |
− 0.37 [− 0.57, − 0.18] |
− 0.28 [− 0.43, − 0.13] |
|
Painting Type (Representational = 1) |
0.75 [0.46, 1.05] |
0.32 [0.11, 0.52] |
0.32 [0.11, 0.52] |
| Openness |
0.01 [− 0.01, 0.03] |
0.02 [0.00, 0.03] |
0.01 [− 0.00, 0.02] |
| Positive AI |
0.02 [0.01, 0.03] |
0.00 [− 0.01, 0.01] |
– |
| Negative AI |
0.01 [− 0.01, 0.03] |
0.01 [− 0.00, 0.03] |
– |
| Growth |
0.04 [− 0.01, 0.09] |
− 0.01 [− 0.05, 0.02] |
– |
| Fixed |
0.05 [0.01, 0.08] |
0.01 [− 0.02, 0.04] |
– |
| Empathy |
− 0.00 [− 0.02, 0.01] |
− 0.01 [− 0.02, 0.00] |
– |
| CRT |
− 0.04 [− 0.06, 0.04] |
0.03 [− 0.00, 0.07] |
– |
| Age |
− 0.01 [− 0.02, 0.01] |
− 0.01 [− 0.02, − 0.00] |
− 0.01 [− 0.01, − 0.00] |
| Emotion | – |
0.24 [0.19, 0.29] |
0.23 [0.19, 0.26] |
| Story | – |
0.24 [0.20, 0.28] |
0.24 [0.20, 0.28] |
| Meaningful | – |
0.21 [0.15, 0.26] |
0.23 [0.20, 0.27] |
| Effort | – |
0.14 [0.10, 0.19] |
0.14 [0.10, 0.18] |
| Time (log) | – |
− 0.00 [− 0.02, 0.02] |
– |
| Label × Openness |
− 0.01 [− 0.02, 0.01] |
− 0.01 [− 0.02, 0.00] |
− 0.01 [− 0.02, − 0.00] |
| Label × Positive AI |
− 0.01 [− 0.03, − 0.00] |
− 0.00 [− 0.01, 0.00] |
– |
| Label × Negative AI |
− 0.01 [− 0.02, 0.01] |
− 0.00 [− 0.01, 0.01] |
– |
| Label × Growth |
0.02 [− 0.02, 0.05] |
0.00 [− 0.03, 0.03] |
– |
| Label × Fixed |
− 0.01 [− 0.03, 0.02] |
− 0.01 [− 0.03, 0.01] |
– |
| Label × Empathy |
0.00 [− 0.01, 0.01] |
− 0.00 [− 0.01, 0.01] |
– |
| Label × CRT |
− 0.03 [− 0.06, 0.01] |
0.00 [− 0.03, 0.03] |
– |
| Label × Age |
− 0.00 [− 0.01, 0.01] |
0.00 [− 0.00, 0.01] |
– |
| Label × Emotion | – |
− 0.02 [− 0.09, 0.04] |
– |
| Label × Story | – |
− 0.19 [− 0.14, − 0.03] |
− 0.08 [− 0.12, − 0.04] |
| Label × Meaningful | – |
0.04 [− 0.02, 0.11] |
– |
| Label × Effort | – |
0.09 [0.03, 0.15] |
0.10 [0.05, 0.16] |
| Label × Time (log) | – |
0.01 [− 0.01, 0.04] |
– |
| Random effects | |||
| Participant (Intercept) | 0.44 | 0.21 | 0.24 |
| Label (Slope) | 0.13 | 0.05 | 0.05 |
| Painting (Intercept) | 0.16 | 0.08 | 0.08 |
| Residual | 0.90 | 0.55 | 0.55 |
| Model | |||
| Marginal | 0.13 | 0.53 | 0.53 |
| ICC | 0.40 | 0.33 | 0.34 |
| Conditional | 0.48 | 0.69 | 0.69 |
| AIC | 12,606.95 | 10,449.15 | 10,300.65 |
Note. CI = confidence interval, Marginal = variance explained by fixed effects, ICC = intraclass correlation or variance explained by random effects, Conditional = variance explained by fixed and random effects, AIC = Akaike Information Criterion. Italicized text = p < 0.05, bolded text = p < 0.001