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. 2023 Sep 11;13(9):751. doi: 10.3390/bs13090751
Author/Title Region Results Effects n
Domain: General cognitive performance
Boila, V. C., Kwong, T. E., and Hintz, J. E. (2017) [18] North America The group with a cell phone present outperformed the group without a cell phone in all subtests (sentence comprehension, spelling, and math subtest). Sentence comprehension subtest:
phone present (M = 100.45, SD = 10.17)
phone absent (M = 98.18, SD = 12.96),
t(42) = 0.65, p = 0.52, g = 0.19, 95% CI (−4.82, 9.36)
Spelling subtest:
phone present (M = 106.71, SD = 6.80)
phone absent (M = 102.35, SD = 8.09),
t(39) = 1.87, p = 0.07, g = 0.58, 95% CI (−0.35, 9.08)
Mathematics subtest:
phone present (M = 92.64, SD = 9.05),
phone absent (M = 88.32, SD = 8.49),
t(42) = 1.63, p = 0.11, g = 0.49, 95% CI (−1.02, 9.66)
45
Stone, J. (2020) [8] North America Cell phone presence inhibited performance. Cell phone visibility reduces cognitive performance. Fluid intelligence:
desk condition (M = 63.28, SD = 9.10, n = 19)
other room (M = 51.55, SD = 12.13, n = 18)
t(35) = 3.312, p = 0.002
37
Toader, J. F. et al. (2022) [29] Europe The data presented show that distraction by phone calls decreases the performance level of medical students during an OSCE station. OSCE I (students with both stations n = 13 each):
not distracted by phone calls (M = 8.48, SD = 0.89)
distracted by telephone calls (M = 7.39, SD = 0.91)
OSCE II (students with both wards, n = 101 each):
not distracted by phone calls (M = 7.61, SD = 1.16)
distracted by telephone calls (M = 6.92, SD = 1.23)
308
Domain: Memory
Nakagawa, N. et al. (2022) [23] Asia The presence of the smartphone did not affect electroencephalography results or working memory. g = −0.25, 95% CI = −0.58, 0.09 36
Stone, J. (2020) [8] North America Results showed that cell phone presence inhibited performance. Cell phone visibility reduces cognitive performance. Working memory capacity:
other room (M = 64.24, SD = 6.05, n = 18)
desk condition (M = 57.80, SD = 7.08, n = 19);
t(35) = 2.965, p = 0.005
37
Quanbrough, J. (2018) [25] Europe The results showed that smartphone presence impaired the participants’ cognitive performance. Working memory capacity:
smartphones present
(n = 51, M = 10.43, M = 11.00, SD = 3.00)
smartphones absent
(n = 48, M = 11.66, M = 12.00, SD = 2.89)
(W = 1464.5, p = 0.03, r = −0.22, g = 0.42)
99
Tanil, C. T. and Yong, M. H. (2020) [27] North America Presence of a smartphone and high phone awareness negatively affect memory learning and recall. Presence (HS) or absence (LS) of smartphone.
LS (M = 14.21, SD = 2.61),
HS (M = 13.08, SD = 2.53),
t(117) = 2.38, p = 0.02, g = 0.44
119
Hartmann, M., Martarelli, C. S., Reber, T. P., and Rothen, N. (2020) [20] Europe No overall effect of smartphone presence on short-term and perspective memory performance. Better performance in participants with low smartphone dependence when smartphone was not present. F(1, 300) = 0.17, p = 0.676 302
Hartanto, A. and Yang, H. (2016) [21] Asia Smartphone absence leads to reduction in working memory capacity. Impairment of mental shifting independent of the extent of smartphone addiction. Stroop task (assesses inhibitory-control processing):
effect of smartphone separation: B = 47.23, p = 0.028
Rotation span test (working-memory capacity):
effect of smartphone separation:
t(60) = 1.98, p = 0.052, g = 0.52
70
Ward, A. F., Duke, K., Gneezy, A., and Bos, M. W. (2017) [3] North America The mere presence of smartphones can negatively affect the available capacity of working memory. Effect 1:
g = −0.17, 95% CI = −0.47, 0.12
Effect 2:
g = −0.25, 95% CI = −0.58, 0.09
521
Niu, G. et al. (2022) [24] Asia The presence of smartphones has a negative impact on cognitive functions. g = −0.29, 95% CI = −0.68, 0.10 100
Canale, N., Vieno, A., Doro, M., Rosa Mineo, E., Marino, C., and Billieux, J. (2019) [22] Europe Turned-on devices had a detrimental effect on subjects’ task performance. Effect 1:
g = −0.29, 95% CI = −0.73, 0.15
Effect 2:
g = −0.19, 95% CI = −0.25, 0.63
159
Ruiz Pardo, A., and Minda, J. (2022) [18] North America The mere presence of the smartphone is not enough to affect cognitive performance. Effect 1: g = −0.17, 95% CI = −0.52, 0.19
Effect 2: g = −0.08, 95% CI = −0.42, 0.25
Effect 3: g = −0.03, 95% CI = −0.38, 0.33
Effect 4: g = 0.14, 95% CI = −0.21, 0.49
511
Domain: Attention
Aguila, B. (2019) [31] North America Presence of a cell phone led to poorer performance among participants with smartphones in close proximity. g = −0.71, 95% CI = −1.30, −0.12 57
Ruiz Pardo, A., and Minda, J. (2022) [18] North America The mere presence of the smartphone is not enough to affect cognitive performance. Effect 5: g = 0.00, 95% CI = −0.33, 0.33
Effect 6: g = 0.00, 95% CI = −0.35, 0.35
Effect 7: g = 0.13, 95% CI = −0.22, 0.49
Effect 8: g = 0.13, 95% CI = −0.22, 0.49
511
Moshiri, J. (2018) [17] North America Smartphone presence had no significant effect on cognitive performance. Effect 1: g = 0.05, 95% CI = −0.35, 0.45
Effect 2: g = 0.16, 95% CI = −0.24, 0.56
192
Ward, A. F., Duke, K., Gneezy, A. and Bos, M. W. (2017) [3] North America Presence of smartphone can tax cognitive resources, leaving fewer resources available for other tasks and impairing cognitive performance. Effect 3: g = 0.07, 95% CI = −0.22, 0.36
Effect 4: g = 0.07, 95% CI = −0.22, 0.37
361
Koessmeier, C. and Büttner, O. (2022) [19] Europe Presence of the smartphone without influence on task performance. g = 0.10, 95% CI = −0.32, 0.53 86
Lyngs, U. (2017) [15] Europe Presence of smartphone without influence on task performance. g = 0.20, 95% CI = −0.34, 0.74 53
Thornton, B., Faires, A., Robbins, M., and Rollins, E. (2014) [30] North America Mere presence of a cell phone sufficiently distracting to lead to decreased attention and deficits in task performance, especially in tasks with higher attentional and cognitive demands. Digit cancellations:
cell phone present (experimental group, M = 21.29)
no cell phone present (M = 26.17)
F(1, 45) = 5.80, p < 0.05, g2 p = 0.11
Trail making tests:
more difficult Part B:
phone present (M = 14.50)
phone not present (M = 16.91)
F(1, 45) = 4.05, p = 0.05, g2 p = 0.08
54
Gutierrez-Puertas et al. (2020) [26] Europe More attentive in class without access to cell phones. Mindful attention awareness scale:
smartphone absent (M = 54.17, SD = 14.30, n = 63)
smartphone present, M = 48.27, SD = 12.71, n = 61)
124
Mahsud, M., Khaaf, A. J. M., Mahsud, Z., Afzal, A., Afzal, F. (2021) [9] Asia/Europe Concentration disturbed by smartphones. Asian concentrate better without smartphones. European students became restless without smartphones. European students (n = 18):
without smartphone: M = 4.7, SD = 3.34
with smartphone: M = 8.25, SD = 1.92
Asian students (n = 22):
without smartphone: M = 5, SD = 2.44
with smartphone: M = 5.25, SD = 8.02
40
Stavrum, M. (2020) [16] North America No statistically significant effect of smartphone availability on performance. Raven’s Standard Progressive Matrices:
smartphone present (M = 27.45, SD = 1.78)
smartphone absent (M = 27.15, SD = 1.88)
Spanboard Test:
smartphone present (M = 6.6, SD = 1.78)
smartphone absent (M = 6.5, SD = 1.39)
40
Mendoza, J. S., Pody, B. C., Lee, S., Kim, M., and McDonough, I. M. (2018) [28] North America Participants distracted by the smartphone performed worse in the test than those who were not distracted. Main effect of group was found: F(1158) = 7.51,
MSE = 0.029, p = 0.007, h2p = 0.05
Quiz performance:
cellphones removed (M = 0.65, SD = 0.17)
cellphones retained (M = 0.57, SD = 0.16)
160
Note. n = number of observations.