Table 5.
Participants’ attitudes regarding the impact of artificial intelligence (AI) on the rehabilitation field (N=317).
| The impact of AI and variables | Strongly agree | Agree | Neutral | Disagree | Strongly disagree | ||||||
| Reducing human resources, n (%) | |||||||||||
|
|
Sex | ||||||||||
|
|
|
Male | 57 (18) | 49 (15.5) | 23 (10.1) | 25 (7.9) | 3 (0.9) | ||||
|
|
|
Female | 27 (8.5) | 55 (17.4) | 50 (15.8) | 15 (4.7) | 4 (1.3) | ||||
|
|
Employment sector | ||||||||||
|
|
|
Academic | 15 (4.7) | 30 (9.5) | 20 (6.3) | 8 (2.5) | 1 (0.3) | ||||
|
|
|
Nonacademic | 69 (21.8) | 74 (23.3) | 62 (19.6) | 32 (10.1) | 6 (1.9) | ||||
|
|
Experience (years) | ||||||||||
|
|
|
>10 | 43 (13.6) | 41 (12.9) | 25 (7.9) | 19 (6) | 1 (0.3) | ||||
|
|
|
<10 | 41 (12.9) | 63 (19.9) | 57 (18) | 21 (6.6) | 6 (1.9) | ||||
|
|
Educational qualification | ||||||||||
|
|
|
Postgraduate degree | 50 (15.8) | 34 (10.7) | 26 (8.2) | 17 (5.4) | 2 (0.6) | ||||
|
|
|
Undergraduate degree | 34 (10.7) | 70 (22.1) | 56 (17.7) | 23 (7.3) | 5 (1.6) | ||||
| Increasing productivity, n (%) | |||||||||||
|
|
Sex | ||||||||||
|
|
|
Male | 52 (16.4) | 86 (27.1) | 23 (7.3) | 3 (0.9) | 2 (0.6) | ||||
|
|
|
Female | 40 (12.6) | 70 (22.1) | 34 (10.7) | 5 (1.6) | 2 (0.6) | ||||
|
|
Employment sector | ||||||||||
|
|
|
Academic | 20 (6.3) | 37 (11.7) | 14 (4.4) | 3 (0.9) | 0 (0) | ||||
|
|
|
Nonacademic | 72 (22.7) | 119 (37.5) | 43 (13.6) | 5 (1.6) | 4 (1.3) | ||||
|
|
Experience (years) | ||||||||||
|
|
|
>10 | 32 (10.1) | 73 (23) | 21 (6.6) | 3 (0.9) | 0 (0) | ||||
|
|
|
<10 | 60 (18.9) | 83 (26.2) | 36 (11.4) | 5 (1.6) | 1 (1.3) | ||||
|
|
Educational qualification | ||||||||||
|
|
|
Postgraduate degree | 37 (11.7) | 66 (20.8) | 22 (6.9) | 2 (0.6) | 2 (0.6) | ||||
|
|
|
Undergraduate degree | 55 (17.4) | 90 (28.4) | 35 (11) | 6 (1.9) | 2 (0.6) | ||||
| Improving patients’ quality of life, n (%) | |||||||||||
|
|
Sex | ||||||||||
|
|
|
Male | 60 (18.9) | 65 (20.5) | 34 (10.7) | 5 (1.6) | 2 (0.6) | ||||
|
|
|
Female | 42 (13.2) | 65 (20.5) | 36 (11.4) | 5 (1.6) | 3 (0.9) | ||||
|
|
Employment sector | ||||||||||
|
|
|
Academic | 24 (7.6) | 33 (10.4) | 14 (4.4) | 3 (0.9) | 0 (0) | ||||
|
|
|
Nonacademic | 78 (24.6) | 97 (30.6) | 56 (17.7) | 7 (2.2) | 5 (1.6) | ||||
|
|
Experience (years) | ||||||||||
|
|
|
>10 | 38 (12) | 52 (16.4) | 33 (10.4) | 6 (1.9) | 0 (0) | ||||
|
|
|
<10 | 64 (20.2) | 78 (24.6) | 37 (11.7) | 4 (1.3) | 5 (1.6) | ||||
|
|
Educational qualification | ||||||||||
|
|
|
Postgraduate degree | 44 (13.9) | 48 (15.1) | 30 (9.5) | 5 (1.6) | 2 (0.6) | ||||
|
|
|
Undergraduate degree | 58 (18.3) | 82 (25.9) | 40 (12.6) | 5 (1.6) | 3 (0.9) | ||||