Table 3. Conditional logit estimations for the combined attribute model.
| β coefficient (SE) | P value | Relative importance | |
|---|---|---|---|
| Alternative specific coefficient | 0.174 (0.046) | <0.001* | |
| Role of AI tool | 0.6% | ||
| Assistance (reference) | |||
| Partial replacement | 0.186 (0.112) | 0.098 | |
| Fully replacement | −0.493 (0.157) | 0.002* | |
| Necessary proficiency in the use of the tool | 0.2% | ||
| No proficiency needed (reference) | |||
| Novice | 0.117 (0.200) | 0.557 | |
| Intermediate | 0.233 (0.172) | 0.174 | |
| Expert | −0.053 (0.329) | 0.872 | |
| Investment needed to train or prompt engineer the AI tool | −2.910 (2.412) | 0.228 | 11.7% |
| Estimated sensitivity | 4.423 (2.296) | 0.054 | 39.2% |
| Workload reduction | 1.001 (0.453) | 0.0271* | 48.4% |
Statistically significant.
AI, artificial intelligence.