Table 2.
Scores on UTAUT and content perception constructs, stratified by experience with AI tools for the creation of health education materials(N = 691)
| Variables | All participants | Experience of AI tools for creating health education materials | |||
|---|---|---|---|---|---|
| (N = 691) | Yes (n = 314) | No (n = 377) | t value | P value | |
| Performance expectancy (score rang: 2–10) | 8.13(1.13) | 8.43(1.00) | 7.88(1.17) | 6.630 | < 0.001 |
| Effort expectancy (score rang: 2–10) | 6.82(1.14) | 6.90(1.12) | 6.76(1.15) | 1.610 | 0.11 |
| Social influences (score rang: 2–10) | 7.23(1.48) | 7.69(1.41) | 6.85(1.44) | 7.690 | < 0.001 |
| Facilitating conditions (score rang: 2–10) | 6.64(0.81) | 6.88(0.84) | 6.44(0.73) | 7.500 | < 0.001 |
| PSCGa (score rang: 1–5) | 3.75(0.78) | 3.92(0.74) | 3.62(0.79) | 5.115 | < 0.001 |
| PUCGb (score rang: 1–5) | 3.85(0.75) | 4.00(0.70) | 3.72(0.78) | 4.911 | < 0.001 |
| PCCGc (score rang: 1–5) | 3.70(0.82) | 3.85(0.79) | 3.58(0.83) | 4.288 | < 0.001 |
| PMCGd (score rang: 1–5) | 3.79(0.81) | 3.87(0.68) | 3.72(0.89) | 2.416 | 0.02 |
aPSCG: perceived scientificity of content generated
bPUCG: perceived understandability of content generated
cPCCG: perceived creativity of content generated
dPMCG: perceived misinformation of content generated