Table 2 Participant Demographic Data
Participants | |
|---|---|
Characteristic | # (%) of Participants (N = 30) |
Age, mean (range) | 35 (18–73) |
Gender | |
 Male | 10 (33) |
 Female | 20 (67) |
 Trans Female/Trans Woman | 0 (0) |
 Trans Male/Trans Man | 0 (0) |
 Two-Spirit | 0 (0) |
Race/Ethnocultural group | |
 Asian – South (India, Pakistan, Sri Lanka) | 8 (27) |
 White/European/North American | 6 (20) |
 Black – Africa and Caribbean | 6 (20) |
 Asian – East (China, Japan, Korea) | 3 (10) |
 Asian – Southeast (Vietnam, Philippines, Malaysia) | 2 (7) |
 Indigenous (Inuit, Metis, First Nations) | 0 (0) |
 Hispanic/Latin | 1 (3) |
 Middle Eastern (Iran, Egypt, Lebanon) | 3 (10) |
 Prefer not to answer | 1 (3) |
Difficulties making ends meet at the end of the month? | |
 Yes | 7 (23) |
 No | 23 (76) |
Highest level of education | |
 Some grade school | 0 (0) |
 Some high school | 0 (0) |
 High school | 1 (3) |
 Some college/university | 8 (27) |
 College/university | 21 (70) |
 Post-graduate | 0 (0) |
Perceived AI knowledge | |
 Not knowledgeable at all | 2 (7) |
 Slightly knowledgeable | 7 (23) |
 Moderately knowledgeable | 16 (53) |
 Very knowledgeable | 3 (10) |
 Extremely knowledgeable | 2 (7) |
Currently experiencing chronic illness | |
 Yes | 8 (27) |
 No | 13 (43) |
 Prefer not to answer | 9 (30) |
Self-identified accessibility needs | |
 Yes | 8(27) |
 No | 13 (43) |
 Prefer not to answer | 9 (30) |