Table 3 Subject demographic including sample size, gender, age range and mean with standard deviation where available
From: Machine learning methods for the study of cybersickness: a systematic review
Author | N | Male | Female | Age range | Mean |
|---|---|---|---|---|---|
Subject demographics | |||||
Nam et al. [12] | 45 | 25 | 20 | 18–26 | 21.9 |
Yu et al. [13] | 7 | – | – | 21–24 | – |
Wei et al. [16] | 6 | – | – | – | – |
Wei et al. [14] | 6 | – | – | – | – |
Ko et al. [15] | 10 | – | – | – | – |
Lin et al. [17] | 10 | – | – | – | – |
Ko et al. [18] | 6 | – | – | – | – |
Lin et al. [19] | 17 | – | – | – | – |
Dennison et al. [29] | 20 (9 completed) | 14 | 6 | – | – |
Pane et al. [26] | 9 | 6 | 3 | 25–35 | – |
Mawalid et al. [21] | 9 | 7 | 2 | – | – |
Khoirunnisaa et al. [20] | 9 | 7 | 2 | – | 25.1 |
Dennison et al. [25] | 20 | 15 | 5 | > 18 | – |
Wang et al. [34] | 11 | 7 | 4 | – | 25.83 ± 4.58 |
Garcia-Agundez et al. [28] | 66 | – | – | – | – |
Jeong et al. [22] | 24 | 13 | 12 | 20–33 | – |
Li et al. [35] | 20 | 20 | 0 | 18–27 | 22.8 |
Kim et al. [42] | 202 | – | – | – | – |
Liao et al. [27] | 130 | 65 | 65 | 6–23 | – |
Li et al. [23] | 18 (6 excluded) | 19 | 5 | – | 29.3 |
Lee, Alamaniotis [43] | 31 | 29 | 2 | – | 24.04 ± 2.75 |
Islam et al. [30] | 31 (8 excluded) = 23 | 29 | 2 | – | 24.04 ± 2.75 |
Islam et al. [31] | 31 (8 excluded) = 23 | 29 | 2 | – | 24.04 ± 2.75 |
Martin et al. [33] | 103 | 86 | 17 | – | 26.12 ± 6.31 |
Recenti et al. [24] | 28 | 22 | 6 | – | 23.8 ± 1.2 |
Oh, Kim [32] | 20 (2 excluded) = 18 | 8 | 12 | – | – |