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Hard to Resist?

The Effect of Smartphone Visibility and Notifications on Response Inhibition

Published Online:https://doi.org/10.1027/1864-1105/a000248

Abstract. Because more and more young people are constantly presented with the opportunity to access information and connect to others via their smartphones, they report to be in a state of permanent alertness. In the current study, we define such a state as smartphone vigilance, an awareness that one can always get connected to others in combination with a permanent readiness to respond to incoming smartphone notifications. We hypothesized that constantly resisting the urge to interact with their phones draws on response inhibition, and hence interferes with students’ ability to inhibit prepotent responses in a concurrent task. To test this, we conducted a preregistered experiment, employing a Bayesian sequential sampling design, where we manipulated smartphone visibility and smartphone notifications during a stop-signal task that measures the ability to inhibit prepotent responses. The task was constructed such that we could disentangle response inhibition from action selection. Results show that the mere visibility of a smartphone is sufficient to experience vigilance and distraction, and that this is enhanced when students receive notifications. Curiously enough, these strong experiences were unrelated to stop-signal task performance. These findings raise new questions about when and how smartphones can impact performance.

References

  • Bayer, J. B., Campbell, S. W. & Ling, R. (2015). Connection cues: Activating the norms and habits of social connectedness. Communication Theory, 1–22. https://doi.org/10.1111/comt.12090 First citation in articleGoogle Scholar

  • Best, J. R., Miller, P. H. & Naglieri, J. A. (2011). Relations between executive function and academic achievement from ages 5 to 17 in a large, representative national sample. Learning and Individual Differences, 21(4), 327–336. https://doi.org/10.1016/j.lindif.2011.01.007 First citation in articleCrossrefGoogle Scholar

  • bitkom. (2015). Zahl der verschickten SMS sinkt um 40 Prozent [Number of sent SMS decreases by 40%]. Retrieved from https://www.bitkom.org/Presse/Presseinformation/Zahl-der-verschickten-SMS-sinkt-um-40-Prozent.html First citation in articleGoogle Scholar

  • Calderwood, C., Ackerman, P. L. & Conklin, E. M. (2014). What else do college students “do” while studying? An investigation of multitasking. Computers and Education, 75, 19–29. https://doi.org/10.1016/j.compedu.2014.02.004 First citation in articleCrossrefGoogle Scholar

  • Chein, J. M., Wilmer, H. H. & Sherman, L. E. (2017). Smartphones and cognition: A review of research exploring the links between mobile technology habits and cognitive functioning. Frontiers in Psychology, 8, 1–16. https://doi.org/10.3389/fpsyg.2017.00605 First citation in articleGoogle Scholar

  • Chen, Q. & Yan, Z. (2016). Does multitasking with mobile phones affect learning? A review. Computers in Human Behavior, 54, 34–42. https://doi.org/10.1016/j.chb.2015.07.047 First citation in articleCrossrefGoogle Scholar

  • Chun, H., Lee, H. & Kim, D. (2012). The integrated model of smartphone adoption: Hedonic and utilitarian value perceptions of smartphones among Korean college students. Cyberpsychology, Behavior, and Social Networking, 15(9), 473–479. https://doi.org/10.1089/cyber.2012.0140 First citation in articleCrossrefGoogle Scholar

  • Cserjési, R., Luminet, O., Poncelet, A.-S. & Lénárd, L. (2009). Altered executive function in obesity. Exploration of the role of affective states on cognitive abilities. Appetite, 52(2), 535–539. https://doi.org/10.1016/j.appet.2009.01.003 First citation in articleCrossrefGoogle Scholar

  • Diamond, A. (2014). Executive functions. Annual Review of Clinical Psychology, 64, 135–168. https://doi.org/10.1146/annurev-psych-113011-143750 First citation in articleCrossrefGoogle Scholar

  • Friedman, N. P., Miyake, A., Young, S. E., Defries, J. C., Corley, R. P. & Hewitt, J. K. (2008). Individual differences in executive functions are almost entirely genetic in origin. Journal of Experimental Psychology: General, 137(2), 201–225. https://doi.org/10.1037/0096-3445.137.2.201 First citation in articleCrossrefGoogle Scholar

  • Hadlington, L. J. (2015). Cognitive failures in daily life: Exploring the link with Internet addiction and problematic mobile phone use. Computers in Human Behavior, 51, 75–81. https://doi.org/10.1016/j.chb.2015.04.036 First citation in articleCrossrefGoogle Scholar

  • Hall, J. A. & Baym, N. K. (2012). Calling and texting (too much): Mobile maintenance expectations, (over)dependence, entrapment, and friendship satisfaction. New Media & Society, 14(2), 316–331. https://doi.org/10.1177/1461444811415047 First citation in articleCrossrefGoogle Scholar

  • Hartanto, A. & Yang, H. (2016). Is the smartphone a smart choice? The effect of smartphone separation on executive functions. Computers in Human Behavior, 64, 329–336. https://doi.org/10.1016/j.chb.2016.07.002 First citation in articleCrossrefGoogle Scholar

  • Hofmann, W., Schmeichel, B. J. & Baddeley, A. D. (2012). Executive functions and self-regulation. Trends in Cognitive Sciences, 16(3), 174–180. https://doi.org/10.1016/j.tics.2012.01.006 First citation in articleCrossrefGoogle Scholar

  • Inzlicht, M. & Berkman, E. (2015). Six questions for the resource model of control (and some answers). Social and Personality Psychology Compass, 9/10, 511–524. https://doi.org/10.1111/spc3.12200 First citation in articleCrossrefGoogle Scholar

  • JASP Team. (2017). JASP. (Version 0.8.1.1) [Computer software] First citation in articleGoogle Scholar

  • Jurado, M. B. & Rosselli, M. (2007). The elusive nature of executive functions: A review of our current understanding. Neuropsychology Review, 17(3), 213–233. https://doi.org/10.1007/s11065-007-9040-z First citation in articleCrossrefGoogle Scholar

  • Karapanos, E., Teixeira, P. & Gouveia, R. (2016). Need fulfillment and experiences on social media: A case on Facebook and WhatsApp. Computers in Human Behavior, 55, 888–897. https://doi.org/10.1016/j.chb.2015.10.015 First citation in articleCrossrefGoogle Scholar

  • Klimmt, C., Hefner, D., Reinecke, L., Rieger, D. & Vorderer, P. (2018). The permanently online and permanently connected mind. Mapping the cognitive structures behind mobile Internet use. In P. VordererD. HefnerL. ReineckeC. KlimmtEds., Permanently online, permanently connected. Living and communication in a POPC world (pp. 18–28). New York, NY: Routledge. First citation in articleGoogle Scholar

  • Koch, S., Holland, R. W. & van Knippenberg, A. (2008). Regulating cognitive control through approach-avoidance motor actions. Cognition, 109(1), 133–142. https://doi.org/10.1016/j.cognition.2008.07.014 First citation in articleCrossrefGoogle Scholar

  • Leary, M. R., Kelly, K. M., Cottrell, C. A. & Schreindorfer, L. S. (2007). Individual differences in the need to belong: Mapping the nomological network. Unpublished Manuscript. Durham, NC: Duke University. First citation in articleGoogle Scholar

  • Lee, M. D. & Wagenmakers, E.-J. (2013). Bayesian cognitive modeling: A practical course. New York, NY: Cambridge University Press. First citation in articleCrossrefGoogle Scholar

  • Levine, L. E., Waite, B. M. & Bowman, L. L. (2013). Use of instant messaging predicts self-report but not performance measures of inattention, impulsiveness, and distractibility. Cyberpsychology, Behavior and Social Networking, 16(12), 898–903. https://doi.org/10.1089/cyber.2012.0504 First citation in articleCrossrefGoogle Scholar

  • Logan, G. D. (1994). On the ability to inhibit thought and action: A user’s guide to the stop signal paradigm. In D. DagenbachT. H. CarrEds., Inhibitory processes in attention, memory, and language (pp. 189–239). San Diego, CA: Academic Press. First citation in articleGoogle Scholar

  • Mercer-Lynn, K. B., Flora, D. B., Fahlman, S. A. & Eastwood, J. D. (2013). The measurement of boredom: Differences between existing self-report scales. Assessment, 20(5), 585–596. https://doi.org/10.1177/1073191111408229 First citation in articleCrossrefGoogle Scholar

  • Miyake, A. & Friedman, N. P. (2012). The nature and organization of individual differences in executive functions: Four general conclusions. Current Directions in Psychological Science, 21(1), 8–14. https://doi.org/10.1177/0963721411429458 First citation in articleCrossrefGoogle Scholar

  • Oulasvirta, A., Rattenbury, T., Ma, L. & Raita, E. (2012). Habits make smartphone use more pervasive. Personal and Ubiquitous Computing, 16(1), 105–114. https://doi.org/10.1007/s00779-011-0412-2 First citation in articleCrossrefGoogle Scholar

  • Pew Research Center. (2015). US smartphone use in 2015. Retrieved from http://www.pewinternet.org/2015/04/01/us-smartphone-use-in-2015/ First citation in articleGoogle Scholar

  • Potter, W. J. (2011). Conceptualizing mass media effect. Journal of Communication, 61(5), 896–915. https://doi.org/10.1111/j.1460-2466.2011.01586.x First citation in articleCrossrefGoogle Scholar

  • Przybylski, A. K., Murayama, K., DeHaan, C. R. & Gladwell, V. (2013). Motivational, emotional, and behavioral correlates of fear of missing out. Computers in Human Behavior, 29, 1841–1848. https://doi.org/10.1016/j.chb.2013.02.014 First citation in articleCrossrefGoogle Scholar

  • Przybylski, A. K. & Weinstein, N. (2013). Can you connect with me now? How the presence of mobile communication technology influences face-to-face conversation quality. Journal of Social and Personal Relationships, 30(3), 237–246. https://doi.org/10.1177/0265407512453827 First citation in articleCrossrefGoogle Scholar

  • Reinecke, L. (2018). POPC and well-being: A risk-benefit analysis. In P. VordererD. HefnerL. ReineckeC. KlimmtEds., Permanently online, permanently connected. Living and communication in a POPC world (pp. 233–243). New York, NY: Routledge. First citation in articleGoogle Scholar

  • Reinecke, L., Klimmt, C., Meier, A., Reich, S., Hefner, D., Knop-Hülß, K., … Vorderer, P. (2017, May). Permanently online and permanently connected: Development and validation of the online vigilance scale. Paper presented at the 67th Annual Conference of the International Communication Association (ICA), San Diego, USA First citation in articleGoogle Scholar

  • Roberts, J. A. & Pirog, S. F. (2013). A preliminary investigation of materialism and impulsiveness as predictors of technological addictions among young adults. Journal of Behavioral Addictions, 2(1), 56–62. https://doi.org/10.1556/JBA.1.2012.011 First citation in articleCrossrefGoogle Scholar

  • Sanbonmatsu, D. M., Strayer, D. L., Medeiros-Ward, N. & Watson, J. M. (2013). Who multi-tasks and why? Multi-tasking ability, perceived multi-tasking ability, impulsivity, and sensation seeking. PLoS One, 8(1), e54402. https://doi.org/10.1371/journal.pone.0054402 First citation in articleCrossrefGoogle Scholar

  • Santor, D. A., Messervey, D. & Kusumakar, V. (2000). Measuring peer pressure, popularity, and conformity in adolescent boys and girls: Predicting school performance, sexual attitudes, and substances. Journal of Youth and Adolescence, 29(2), 163–182. First citation in articleCrossrefGoogle Scholar

  • Schönbrodt, F. D., Wagenmakers, E.-J., Zehetleitner, M. & Perugini, M. (2017). Sequential hypothesis testing with Bayes factors: Efficiently testing mean differences. Psychological Methods, 22(2), 322–339. https://doi.org/10.1037/met0000061 First citation in articleCrossrefGoogle Scholar

  • Seo, M., Kim, J.-H. & David, P. (2015). Always connected or always distracted? ADHD symptoms and social assurance explain problematic use of mobile phone and multicommunicating. Journal of Computer-Mediated Communication, 20, 667–681. https://doi.org/10.1111/jcc4.12140 First citation in articleCrossrefGoogle Scholar

  • Shelton, J. T., Elliott, E. M., Eaves, S. D. & Exner, A. L. (2009). The distracting effects of a ringing cell phone: An investigation of the laboratory and the classroom setting. Journal of Environmental Psychology, 29(4), 513–521. https://doi.org/10.1016/j.jenvp. 2009.03.001 First citation in articleCrossrefGoogle Scholar

  • Smetaniuk, P. (2014). A preliminary investigation into the prevalence and prediction of problematic cell phone use. Journal of Behavioral Addictions, 3(1), 41–53. https://doi.org/10.1556/JBA.3.2014.004 First citation in articleCrossrefGoogle Scholar

  • Soror, A. A., Hammer, B. I., Steelman, Z. R., Davis, F. D. & Limayem, M. M. (2015). Good habits gone bad: Explaining negative consequences associated with the use of mobile phones from a dual-systems perspective. Information Systems Journal, 25, 403–427. https://doi.org/10.1111/isj.12065 First citation in articleCrossrefGoogle Scholar

  • Stothart, C., Mitchum, A. & Yehnert, C. (2015). The attentional cost of receiving a cell phone notification. Journal of Experimental Psychology: Human Perception and Performance, 41(4), 893–897. https://doi.org/10.1037/xhp0000100 First citation in articleCrossrefGoogle Scholar

  • Süddeutsche Zeitung. (2015). “Smombie” ist das Jugendwort des Jahres [“Smombie” is youth word of the year]. Retrieved from http://www.sueddeutsche.de/kultur/deutsche-sprache-smombie-ist-das-jugendwort-des-jahres-1.2735599 First citation in articleGoogle Scholar

  • Thornton, B., Faires, A., Robbins, M. & Rollins, E. (2014). The mere presence of a cell phone may be distracting. Social Psychology, 45(6), 479–488. https://doi.org/10.1027/1864-9335/a000216 First citation in articleLinkGoogle Scholar

  • Tuk, M. A., Zhang, K. & Sweldens, S. (2015). The propagation of self-control: Self-control in one domain simultaneously improves self-control in other domains. Journal of Experimental Psychology: General, 144(3), 639–654. https://doi.org/10.1037/xge0000065 First citation in articleCrossrefGoogle Scholar

  • van der Schuur, W. A., Baumgartner, S. E., Sumter, S. R. & Valkenburg, P. M. (2015). The consequences of media multitasking for youth: A review. Computers in Human Behavior, 53, 204–215. https://doi.org/10.1016/j.chb.2015.06.035 First citation in articleCrossrefGoogle Scholar

  • Verbruggen, F., Aron, A. R., Stevens, M. A. & Chambers, C. D. (2010). Theta burst stimulation dissociates attention and action updating in human inferior frontal cortex. Proceedings of the National Academy of Sciences of the United States of America, 107(31), 13966–13971. https://doi.org/10.1073/pnas.1001957107 First citation in articleCrossrefGoogle Scholar

  • Verbruggen, F., Chambers, C. D. & Logan, G. D. (2013). Fictitious inhibitory differences: How skewness and slowing distort the estimation of stopping latencies. Psychological Science, 24(3), 352–362. https://doi.org/10.1177/0956797612457390 First citation in articleCrossrefGoogle Scholar

  • Verbruggen, F. & Logan, G. D. (2008). Response inhibition in the stop-signal paradigm. Trends in Cognitive Sciences, 12(11), 418–424. https://doi.org/10.1016/j.tics.2008.07.005 First citation in articleCrossrefGoogle Scholar

  • Verbruggen, F. & Logan, G. D. (2009). Proactive adjustments of response strategies in the stop-signal paradigm. Journal of Experimental Psychology. Human Perception and Performance, 35(3), 835–854. https://doi.org/10.1037/a0012726 First citation in articleCrossrefGoogle Scholar

  • Verbruggen, F., Stevens, T. & Chambers, C. D. (2014). Proactive and reactive stopping when distracted: An attentional account. Journal of Experimental Psychology: Human Perception and Performance, 40(4), 1295–1300. https://doi.org/10.1037/a0036542 First citation in articleCrossrefGoogle Scholar

  • Vorderer, P. & Kohring, M. (2013). Permanently online: A challenge for media and communication research. International Journal of Communication, 7, 188–196. https://doi.org/1932-8036/2013FEA0002 First citation in articleGoogle Scholar

  • Wagenmakers, E.-J. (2007). A practical solution to the pervasive problems of p values. Psychonomic Bulletin & Review, 14(5), 779–804. https://doi.org/10.3758/BF03194105 First citation in articleCrossrefGoogle Scholar

  • Wagenmakers, E.-J., Marsman, M., Jamil, T., Ly, A., Verhagen, J., Love, J., … Morey, R. D. (2018). Bayesian inference for psychology. Part I: Theoretical advantages and practical ramifications. Psychonomic Bulletin and Review, 25(1), 35–57. https://doi.org/10.3758/s13423-017-1343-3 First citation in articleCrossrefGoogle Scholar

  • Warm, J. S., Parasuraman, R. & Matthews, G. (2008). Vigilance requires hard mental work and is stressful. Human Factors: The Journal of the Human Factors and Ergonomics Society, 50(3), 433–441. https://doi.org/10.1518/001872008X312152 First citation in articleCrossrefGoogle Scholar