Table 1.
Demographic characteristics of the survey samples (N = 426).
| Variables | Items | N | Percentage (%) |
|---|---|---|---|
| Gender | Man | 148 | 34.7 |
| Woman | 278 | 65.3 | |
| Age | 25 years old and below | 348 | 81.7 |
| 26–35 years old | 63 | 14.8 | |
| 36–45 years old | 12 | 2.8 | |
| Over 45 years of age | 3 | 0.7 | |
| Educational level | High school and below | 50 | 11.7 |
| Undergraduate students | 307 | 72.1 | |
| Graduate students (Master's and Doctoral level) | 69 | 16.2 | |
| AI operating frequency | Several times a day | 82 | 19.2 |
| Often (almost every day) | 132 | 31.0 | |
| Sometimes (3–4 times per week) | 143 | 33.6 | |
| Occasionally (1–2 times per week) | 54 | 12.7 | |
| Rarely (less than once per week) | 15 | 3.5 | |
| AI functional usage patterns | Writing, drafting, and polishing text | 310 | 72.8 |
| Information retrieval/finding materials | 285 | 66.9 | |
| Text summarization/summarizing key points | 246 | 57.7 | |
| Chatting, companionship, and entertainment | 208 | 48.8 | |
| Translation/language learning | 184 | 43.2 | |
| Creative content generation | 121 | 28.4 | |
| Data analysis/formula suggestion | 89 | 20.9 | |
| Code generation/debugging | 87 | 20.4 | |
| Information verification | 60 | 14.1 | |
| Others | 63 | 15.4 |