Table 9.
Correlations and multiple regression coefficients associating subscales of General Attitudes towards Artificial and Comfortableness with and Perceived capability of specific applications of Artificial Intelligence.
| Comfortableness with AI for … |
Perceived capability of AI for … |
||||
|---|---|---|---|---|---|
| big data/automation | human judgement | big data | human judgement | ||
| Positive General Attitudes towards AI | r | 0.65 | 0.68 | 0.57 | 0.52 |
| p | <.001 | <.001 | <.001 | <.001 | |
| F | 10.14 | 16.29 | 0.24 | 0.13 | |
| p | .002 | <.001 | .63 | .71 | |
| Negative General Attitudes towards AI | r | 0.46 | 0.36 | 0.24 | 0.18 |
| p | <.001 | <.001 | .018 | .081 | |
| F | 15.80 | 4.25 | 3.62 | 0.95 | |
| p | <.001 | .04 | .06 | .33 | |
Table 9 Note: Correlations (r, p), and ANOVA tests (F, p). General Attitudes towards Artificial Intelligence subscales are listed in the leftmost column, and cross-validation factor composites capturing attitudes towards specific applications of Artificial Intelligence are listed on the top row, N = 99. The p-values for the correlations are based on two-tailed tests with alpha at .05. F and p are from the multiple regression’s ANOVA for the factors, calculated with type 3 Sums of Squares, with dfs 1, 94. Please be reminded that all negative items on both scales were reverse-scored, so the higher a score the more positive the attitude.