Table 7 Demographics of subjects and number of task attempts.

From: Development of performance and learning rate evaluation models in robot-assisted surgery using electroencephalography and eye-tracking

Subject

Age

Gender/Sexa

Dominant handb

Dominant eyeb

Specialty, position

Hours of RAS practice

Number of attempts

Tubes

Suture Sponge

Dots and Needles

1

32

M

R

R

Urology, fellow

500

2

2

2

2

36

M

R

L

Urology, fellow

100

2

2

2

3

22

F

R

R

No specialty, pre-medical student

0

2

2

2

4

26

M

R

R

No specialty, pre-medical student

0

3

2

2

5

33

M

R

R

Gynecology, fellow

120

2

2

5

6

35

M

R

R

Urology, fellow

100

2

2

2

7

33

M

R

R

Gynecology, resident

10

2

2

2

8

61

M

R

R

Thoracic, surgeon

30

2

2

2

9

44

M

R

L

Gynecology, RAS surgeon

500

3

2

2

10

24

F

R

L

No specialty, pre-medical student

0

3

4

4

11

34

F

R

L

Gynecology, fellow

80

2

2

2

12

44

M

R

R

Urology, RAS surgeon

More than 1000

2

2

2

13

67

M

R

R

Urology, RAS surgeon

More than 1000

3

2

2

14

23

F

R

L

No specialty, pre-medical student

0

2

3

2

15

47

M

R

R

Urology, RAS surgeon

More than 1000

2

2

2

16

22

F

R

R

No specialty, pre-medical student

0

2

2

2

17

36

F

R

R

No specialty, Scientist

0

4

9

2

18

23

F

R

R

No specialty, pre-medical student

0

2

2

2

19

28

M

R

R

No specialty, pre-medical student

0

2

3

5

20

32

M

R

R

Gynecology, resident

15

2

3

3

21

20

M

R

L

No specialty, pre-medical student

0

4

2

2

22

34

M

R

R

No specialty, researcher

0

2

2

2

23

32

F

R

R

Gynecology, fellow

40

2

2

2

24

42

M

L

L

Head and neck, surgeon

55

2

2

2

25

54

M

R

R

Oncology, oncologist

0

2

3

7

26

39

M

R

L

Urology, fellow

0

3

3

2

  1. aIn this study, all participants’ gender identities aligned with their biological sex. Male (M), Female (F).
  2. bRight (R), left (L).