Table 3.
Estimates and associated CIs predicting “Profundity” judgements
| Profundity | Model 1 | Model 2 | Model 3 |
|---|---|---|---|
|
Fixed effects [95% CI] |
|||
| (Intercept) |
2.20 [2.02, 2.38] |
0.42 [0.31, 0.53] |
0.40 [0.31 0.50] |
|
Label (Human = 1) |
0.37 [0.29, 0.58] |
− 0.15 [− 0.31, 0.01] |
− 0.14 [− 0.20, − 0.07] |
|
Painting Type (Representational = 1) |
0.40 [0.21, 0.58] |
− 0.04 [− 0.11, 0.02] |
– |
| Openness |
− 0.01 [− 0.03, 0.01] |
− 0.00 [− 0.01, 0.01] |
– |
| Positive AI |
0.02 [0.01, 0.04] |
0.01 [− 0.00, 0.01] |
0.01 [− 0.00, 0.01] |
| Negative AI |
0.00 [− 0.02, 0.02] |
0.00 [− 0.01, 0.01] |
– |
| Growth |
0.11 [0.05, 0.16] |
0.04 [0.02, 0.07] |
0.04 [0.01, 0.06] |
| Fixed |
0.07 [0.03, 0.11] |
0.02 [0.00, 0.04] |
0.02 [0.00, 0.04] |
| Empathy |
0.00 [− 0.01, 0.02] |
− 0.00 [− 0.01, 0.01] |
– |
| CRT |
− 0.08 [− 0.13, − 0.02] |
− 0.03 [− 0.06, 0.00] |
– |
| Age |
0.01 [− 0.00, 0.02] |
0.00 [− 0.00, 0.01] |
– |
| Emotion | – |
0.22 [0.18, 0.26] |
0.22 [0.19, 0.25] |
| Story | – |
0.18 [0.15, 0.21] |
0.19 [0.17, 0.22] |
| Meaningful | – |
0.26 [0.22, 0.31] |
0.26 [0.22, 0.29] |
| Effort | – |
0.20 [0.16, 0.24] |
0.19 [0.16, 0.22] |
| Time (log) | – |
0.02 [0.00, 0.03] |
0.02 [0.00, 0.03] |
| Label × Openness |
0.01 [− 0.01, 0.02] |
− 0.01 [− 0.01, 0.00] |
– |
| Label × Positive AI |
− 0.01 [− 0.03, − 0.01] |
− 0.01 [− 0.01, − 0.00] |
− 0.01 [− 0.01, − 0.00] |
| Label × Negative AI |
− 0.01 [− 0.02, 0.01] |
0.00 [− 0.00, 0.01] |
– |
| Label × Growth |
− 0.00 [− 0.04, 0.03] |
− 0.01 [− 0.03, 0.01] |
– |
| Label × Fixed |
− 0.01 [− 0.03, 0.02] |
− 0.00 [− 0.02, 0.01] |
– |
| Label × Empathy |
0.01 [− 0.00, 0.02] |
0.00 [− 0.00, 0.01] |
– |
| Label × CRT |
− 0.02 [− 0.06, 0.01] |
0.00 [− 0.02, 0.02] |
– |
| Label × Age |
− 0.00 [− 0.01, 0.00] |
− 0.00 [− 0.01, 0.00] |
– |
| Label × Emotion | – |
− 0.00 [− 0.06, 0.06] |
– |
| Label × Story | – |
0.03 [− 0.01, 0.08] |
– |
| Label × Meaningful | – |
− 0.01 [− 0.07, 0.05] |
– |
| Label × Effort | – |
− 0.02 [− 0.07, 0.04] |
– |
| Label × Time (log) | – |
− 0.00 [− 0.02, 0.02] |
– |
| Random effects | |||
| Participant (Intercept) | 0.53 | 0.13 | 0.13 |
| Label (Slope) | 0.12 | 0.02 | 0.02 |
| Painting (Intercept) | 0.06 | 0.00 | 0.01 |
| Residual | 0.76 | 0.41 | 0.41 |
| Model | |||
| Marginal | 0.15 | 0.64 | 0.64 |
| ICC | 0.44 | 0.25 | 0.26 |
| Conditional | 0.52 | 0.73 | 0.73 |
| AIC | 11,905.68 | 9098.20 | 8940.49 |
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