Abstract
It is well established that attention can be captured by salient distractors. Some studies have found that action video game players were less susceptible to attention capture by irrelevant distractors than non-players. Other studies have also found that individuals with greater visual working memory capacity are less susceptible to capture by irrelevant distractors than individuals with lower visual working memory capacity. The present study examined whether action video game players were less susceptible to be captured by salient distractors and, if so, whether that relationship was due to greater visual working memory capacity. Participants completed a questionnaire reporting their video game playing experience, followed by a color change detection task assessing their visual working memory capacity. They then performed an attention capture task, where they determined the orientation of a bar within a shape singleton while attempting to ignore a color singleton distractor that appeared in 50% of the trials. Results showed that action video game players did not produce less capture effect than non-action video game players. However, high visual working memory capacity individuals produced less capture effect than low visual working memory capacity individuals regardless of their video game experience. These results suggest that the ability to resist capture by irrelevant distractors may be better explained by individual differences in visual working memory capacity than by action video game experience.
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Notes
In our participant recruitment site, we specifically indicated a requirement of computer monitor with a resolution of 1920 × 1080. Participants were instructed to run the studies in a quiet environment.
We also used median split on the total hours of video game play per week to classify participants to either the video game group (N = 65) or non-video game group (N = 65). A mixed ANOVA was conducted on RT and accuracy as a function of video game group and distractor condition (present vs. absent; a within-subject variable). Results were similar to analyses on data with the splitting of the action video game experience by a fixed criterion. The interaction between group and distractor condition was still not significant on RT, F < 1.0. The capture effect on RT was similar for the video game group (70 ± 12 ms) and the non-video game group (74 ± 13 ms). Again, no effect was found on accuracy.
A hierarchical regression analysis on accuracy data showed none of the models to be significant, Fs < 1.0.
We also examined the relationship between capture effect, K value, and the number of hours on only action video game playing. None of the correlations were significant, |rs(88)| 0.19, ps ≥ 0. 07.
References
Ansorge, U., & Heumann, M. (2003). Top-down contingencies in peripheral cuing: The roles of color and location. Journal of Experimental Psychology: Human Perception and Performance, 29(5), 937–948. https://doi.org/10.1037/0096-1523.29.5.937
Awh, E., Belopolsky, A. V., & Theeuwes, J. (2012). Top-down versus bottom-up attentional control: A failed theoretical dichotomy. Trends in Cognitive Sciences, 16(8), 437–443. https://doi.org/10.1016/j.tics.2012.06.010
Bacon, W. F., & Egeth, H. E. (1994). Overriding stimulus-driven attentional capture. Perception & Psychophysics, 55(5), 485–496. https://doi.org/10.3758/bf03205306
Becker, S. I. (2007). Irrelevant singletons in pop-out search: Attentional capture or filtering costs? Journal of Experimental Psychology: Human Perception and Performance, 33(4), 764–787. https://doi.org/10.1037/0096-1523.33.4.764
Bediou, B., Adams, D. M., Mayer, R. E., Tipton, E., Green, C. S., & Bavelier, D. (2018). Meta-analysis of action video game impact on perceptual, attentional, and cognitive skills. Psychological Bulletin, 144(1), 77–110. https://doi.org/10.1037/bul0000130
Belopolsky, A. V., Schreij, D., & Theeuwes, J. (2010). What is top-down about contingent capture? Attention, Perception & Psychophysics, 72(2), 326–341. https://doi.org/10.3758/APP.72.2.326
Blacker, K. J., & Curby, K. M. (2013). Enhanced visual short-term memory in action video game players. Attention, Perception, & Psychophysics, 75(6), 1128–1136. https://doi.org/10.3758/s13414-013-0487-0
Blacker, K. J., Curby, K. M., Klobusicky, E., & Chein, J. M. (2014). Effects of action video game training on visual working memory. Journal of Experimental Psychology. Human Perception and Performance, 40(5), 1992–2004. https://doi.org/10.1037/a0037556
Boot, W. R., Kramer, A. F., Simons, D. J., Fabiani, M., & Gratton, G. (2008). The effects of video game playing on attention, memory, and executive control. Acta Psychologica, 129(3), 387–398. https://doi.org/10.1016/j.actpsy.2008.09.005
Büsel, C., Voracek, M., & Ansorge, U. (2018). A meta-analysis of contingent-capture effects. Psychological Research Psychologische Forschung, 84, 784–809. https://doi.org/10.1007/s00426-018-1087-3
Chisholm, J. D., Hickey, C., Theeuwes, J., & Kingstone, A. (2010). Reduced attentional capture in action video game players. Attention, Perception, & Psychophysics, 72(3), 667–671. https://doi.org/10.3758/APP.72.3.667
Chisholm, J. D., & Kingstone, A. (2012). Improved top-down control reduces oculomotor capture: The case of action video game players. Attention, Perception, & Psychophysics, 74(2), 257–262. https://doi.org/10.3758/s13414-011-0253-0
Chisholm, J. D., & Kingstone, A. (2015). Action video games and improved attentional control: Disentangling selection-and response-based processes. Psychonomic Bulletin & Review, 22(5), 1430–1436. https://doi.org/10.3758/s13423-015-0818-3
Colzato, L. S., van den Wildenberg, W. P., Zmigrod, S., & Hommel, B. (2013). Action video gaming and cognitive control: Playing first person shooter games is associated with improvement in working memory but not action inhibition. Psychological Research Psychologische Forschung, 77(2), 234–239. https://doi.org/10.1007/s00426-012-0415-2
Cowan, N. (2001). The magical number 4 in short-term memory: A reconsideration of mental storage capacity. Behavioral and Brain Sciences, 24(1), 87–114. https://doi.org/10.1017/s0140525x01003922
Dale, G., Joessel, A., Bavelier, D., & Green, C. S. (2020). A new look at the cognitive neuroscience of video game play. Annals of the New York Academy of Sciences, 1464(1), 192–203. https://doi.org/10.1111/nyas.14295
Folk, C. L., & Remington, R. W. (1998). Selectivity in distraction by irrelevant featural singletons: Evidence for two forms of attentional capture. Journal of Experimental Psychology: Human Perception and Performance, 24(3), 847–858. https://doi.org/10.1037/0096-1523.24.3.847
Folk, C. L., Remington, R. W., & Johnston, J. C. (1992). Involuntary covert orienting is contingent on attentional control settings. Journal of Experimental Psychology: Human Perception and Performance, 18(4), 1030–1044. https://doi.org/10.1037/0096-1523.18.4.1030
Fukuda, K., & Vogel, E. K. (2009). Human variation in overriding attentional capture. Journal of Neuroscience, 29, 8726–8733. https://doi.org/10.1523/JNEUROSCI.2145-09.2009
Fukuda, K., & Vogel, E. K. (2011). Individual differences in recovery time from attentional capture. Psychological Science, 22(3), 361–368. https://doi.org/10.1177/0956797611398493
Fukuda, K., & Vogel, E. K. (2019). Visual short-term memory capacity predicts the “bandwidth” of visual long-term memory encoding. Memory & Cognition, 47(8), 1481–1497. https://doi.org/10.3758/s13421-019-00954-0
Gaspar, J. M., Christie, G. J., Prime, D. J., Jolicœur, P., & McDonald, J. J. (2016). Inability to suppress salient distractors predicts low visual working memory capacity. Proceedings of the National Academy of Sciences, 113(13), 3693–3698. https://doi.org/10.1073/pnas.1523471113
Gaspelin, N., Ruthruff, E., & Lien, M. C. (2016). The problem of latent attentional capture: Easy visual search conceals capture by task-irrelevant abrupt onsets. Journal of Experimental Psychology: Human Perception and Performance, 42(8), 1104–1120. https://doi.org/10.1037/xhp0000214
Gould, S. J. J., Cox, A. L., Brumby, D. P., & Wiseman, S. (2015). Home is where the lab is: A comparison of online and lab data from a time-sensitive study of interruption. Human Computation, 2(1), 45–67.
Green, C. S., & Bavelier, D. (2003). Action video game modifies visual selective attention. Nature, 423, 534–537. https://doi.org/10.1038/nature01647
Green, C. S., & Bavelier, D. (2006). Effect of action video games on the spatial distribution of visuospatial attention. Journal of Experimental Psychology: Human Perception and Performance, 32(6), 1465–1478. https://doi.org/10.1037/0096-1523.32.6.1465
Hickey, C., McDonald, J. J., & Theeuwes, J. (2006). Electrophysiological evidence of the capture of visual attention. Journal of Cognitive Neuroscience, 18(4), 604–613. https://doi.org/10.1162/jocn.2006.18.4.604
Hubert-Wallander, B., Green, C. S., Sugarman, M., & Bavelier, D. (2011). Changes in search rate but not in the dynamics of exogenous attention in action videogame players. Attention, Perception, & Psychophysics, 73(8), 2399–2412. https://doi.org/10.3758/s13414-011-0194-7
Irons, J. L., Remington, R. W., & McLean, J. P. (2011). Not so fast: Rethinking the effects of action video games on attentional capacity. Australian Journal of Psychology, 63(4), 224–231. https://doi.org/10.1111/j.1742-9536.2011.00001.x
JASP Team. (2018). JASP (Version 0.9) [Computer software]. https://jasp-stats.org/faq/how-do-i-cite-jasp/
Lee, M. D., & Wagenmakers, E.-J. (2013). Bayesian cognitive modeling: A practical course. Cambridge University Press. https://doi.org/10.1017/CBO9781139087759
Lien, M.-C., Ruthruff, E., & Hauck, C. (2021). On preventing attention capture: Is singleton suppression actually singleton suppression? Psychological Research (in press).
Lien, M.-C., Ruthruff, E., & Cornett, L. (2010). Attentional capture by singletons is contingent on top-down control settings: Evidence from electrophysiological measures. Visual Cognition, 18(5), 682–727. https://doi.org/10.1080/13506280903000040
Lien, M.-C., Ruthruff, E., Goodin, Z., & Remington, R. W. (2008). Contingent attentional capture by top-down control settings: Converging evidence from event-related potentials. Journal of Experimental Psychology: Human Perception and Performance, 34(3), 509–530. https://doi.org/10.1037/0096-1523.34.3.509
Luck, S. J., Gaspelin, N., Folk, C. L., Remington, R. W., & Theeuwes, J. (2021). Progress toward resolving the attentional capture debate. Visual Cognition, 29(1), 1–21. https://doi.org/10.1080/13506285.2020.1848949
Luck, S. J., & Vogel, E. K. (1997). The capacity of visual working memory for features and conjunctions. Nature, 390(6657), 279–281. https://doi.org/10.1038/36846
Oei, A. C., & Patterson, M. D. (2013). Enhancing cognition with video games: A multiple game training study. PLoS ONE, 8(3), e58546. https://doi.org/10.1371/journal.pone.0058546
Pavan, A., Hobaek, M., Blurton, S. P., Contillo, A., Ghin, F., & Greenlee, M. W. (2019). Visual short-term memory for coherent motion in video game players: Evidence from a memory-masking paradigm. Scientific Reports, 9(1), 6027. https://doi.org/10.1038/s41598-019-42593-0
Powers, K. L., Brooks, P. J., Aldrich, N. J., Palladino, M. A., & Alfieri, L. (2013). Effects of video-game play on information processing: A meta-analytic investigation. Psychonomic Bulletin & Review, 20(6), 1055–1079. https://doi.org/10.3758/s13423-013-0418-z
Robison, M. K., & Unsworth, N. (2017). Individual differences in working memory capacity predict learned control over attentional capture. Journal of Experimental Psychology. Human Perception and Performance, 43(11), 1912–1924. https://doi.org/10.1037/xhp0000419
Steenbergen, L., Sellaro, R., Stock, A.-K., Beste, C., & Colzato, L. S. (2015). Action video gaming and cognitive control: Playing first person shooter games is associated with improved action cascading but not inhibition. PLoS ONE, 10(12), e0144364. https://doi.org/10.1371/journal.pone.0144364
Stoet, G. (2010). PsyToolkit—A software package for programming psychological experiments using Linux. Behavior Research Methods, 42(4), 1096–1104. https://doi.org/10.3758/BRM.42.4.1096
Stoet, G. (2017). PsyToolkit: A novel web-based method for running online questionnaires and reaction-time experiments. Teaching of Psychology, 44(1), 24–31. https://doi.org/10.1177/0098628316677643
Theeuwes, J. (1991). Cross-dimensional perceptual selectivity. Perception & Psychophysics, 50, 184–193. https://doi.org/10.3758/BF03212219
Theeuwes, J. (2004). Top-down search strategies cannot override attentional capture. Psychonomic Bulletin & Review, 11(1), 65–70. https://doi.org/10.3758/bf03206462
Theeuwes, J., & Van der Burg, E. (2011). On the limits of top-down control of visual selection. Attention, Perception & Psychophysics, 73(7), 2092–2103. https://doi.org/10.3758/s13414-011-0176-9
Unsworth, N., Redick, T. S., McMillan, B. D., Hambrick, D. Z., Kane, M. J., & Engle, R. W. (2015). Is playing video games related to cognitive abilities? Psychological Science, 26(6), 759–774. https://doi.org/10.1177/0956797615570367
Van Selst, M., & Jolicoeur, P. (1994). A solution to the effect of sample size on outlier elimination. The Quarterly Journal of Experimental Psychology Section A, 47(3), 631–650. https://doi.org/10.1080/14640749408401131
West, G. L., Stevens, S. A., Pun, C., & Pratt, J. (2008). Visuospatial experience modulates attentional capture: Evidence from action video game players. Journal of Vision, 8(16), 13–13. https://doi.org/10.1167/8.16.13
Wilms, I. L., Petersen, A., & Vangkilde, S. (2013). Intensive video gaming improves encoding speed to visual short-term memory in young male adults. Acta Psychologica, 142(1), 108–118. https://doi.org/10.1016/j.actpsy.2012.11.003
Yantis, S., & Jonides, J. (1984). Abrupt visual onsets and selective attention: Evidence from visual search. Journal of Experimental Psychology: Human Perception and Performance, 10(5), 601–621. https://doi.org/10.1037//0096-1523.10.5.601
Yao, Y., Cui, R., Li, Y., Zeng, L., Jiang, J., Qiu, N., Dong, L., Gong, D., Yan, G., Ma, W., & Liu, T. (2020). Action real-time strategy gaming experience related to enhanced capacity of visual working memory. Frontiers in Human Neuroscience, 14, 333. https://doi.org/10.3389/fnhum.2020.00333
Acknowledgements
All data in this article are available on Open Science Framework at https://osf.io/rydbu/. We thank Megan Griffin for assistance in data collection and Emily Burgess and Eric Ruthruff for helpful comments on drafts of this article. We also thank Ulrich Ansorge and Keisuke Fukuda for helpful feedback.
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Appendix A
Appendix A
Video game experience questionnaire
On average, how many hours do you spend per week playing the following types of video games?
Video Game Genre | Examples |
---|---|
First person shooter | (Ex-Counter Strike, Overwatch, Rainbow Six Siege) |
Massively multiplayer online | (Ex-World of Warcraft, Final Fantasy XIV) |
Multiplayer online battle arena | (Ex-League of Legends, Dota 2, Heroes of the Storm) |
Role playing games | (Ex-The Witcher, Dark Souls, Skyrim) |
Real time strategy | (Starcraft, Age of Empires, Warcraft 3) |
Puzzle games | (Ex-Tetris, Candy Crush, Bejeweled) |
Other | (Open text field for participants to write in) |
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Hauck, C., Lien, MC. The role of visual working memory capacity in attention capture among video game players. Psychological Research 86, 2128–2143 (2022). https://doi.org/10.1007/s00426-021-01640-0
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DOI: https://doi.org/10.1007/s00426-021-01640-0