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Executive Dysfunctions Associated with the Use of Information Technology

  • Mónica RosselliEmail author
  • Deven M. Christopher
Chapter

Abstract

Technology is used as a tool to perform goals in everyday life; however, for some, it can also be an agent of diverse negative consequences such as impaired impulse control, which accompanies a range of executive dysfunctions that negatively impact an individual’s ability to function. Even for individuals who have not been diagnosed with a disorder, it is important to consider the potential drawbacks of technology use, such as the difficulty to maintain control over goal-directed or stimulus-driven attention in the midst of the many interruptions that can arrive while an individual is connected to the Internet. This chapter reviews some of the current knowledge surrounding the influence of IT use on cognitive processes, particularly on those abilities involving executive functions, and presents the clinical description of newly defined psychological disorders associated with the use of IT.

Keywords

Information technology Executive function Internet addiction Problematic Internet use Internet gaming disorder Multi-tasking Nomophobia Executive dysfunction Computers Smartphones 

References

  1. Aboujaoude, E. (2010). Problematic internet use: An overview. World Psychiatry, 9(2), 85–90.PubMedPubMedCentralCrossRefGoogle Scholar
  2. Addas, S., & Pinsonneault, A. (2015). The many faces of information technology interruptions: A taxonomy and preliminary investigation of their performance effects. Information Systems Journal, 25(3), 231–273.CrossRefGoogle Scholar
  3. Adawi, M., Bragazzi, N. L., Argumosa-Villar, L., Boada-Grau, J., Vigil-Colet, A., Yildirim, C., .… & Watad, A. (2018). Translation and validation of the Nomophobia questionnaire in the Italian language: exploratory factor analysis. JMIR mHealth and uHealth, 6(1), e24.Google Scholar
  4. Adawi, M., Zerbetto, R., Re, T. S., Bisharat, B., Mahamid, M., Amital, H., … & Bragazzi, N. L. (2019). Psychometric properties of the Brief Symptom Inventory in nomophobic subjects: insights from preliminary confirmatory factor, exploratory factor, and clustering analyses in a sample of healthy Italian volunteers. Psychology Research and Behavior Management, 12, 145.Google Scholar
  5. Aguilera-Manrique, G., Márquez-Hernández, V. V., Alcaraz-Córdoba, T., Granados-Gámez, G., Gutiérrez-Puertas, V., & Gutiérrez-Puertas, L. (2018). The relationship between nomophobia and the distraction associated with smartphone use among nursing students in their clinical practicum. PLoS ONE, 13(8), e0202953.PubMedPubMedCentralCrossRefGoogle Scholar
  6. American Psychiatric Association. (2013). Diagnostic and statistical manual of mental disorders (DSM-5®). American Psychiatric Pub.Google Scholar
  7. Andreassen, C. S., Pallesen, S., & Griffiths, M. D. (2017). The relationship between addictive use of social media, narcissism, and self-esteem: Findings from a large national survey. Addictive Behaviors, 64, 287–293.PubMedCrossRefGoogle Scholar
  8. Ardila, A. (2013). There are two different dysexecutive syndromes. Journal of Neurological Disorders, 1(1), 1–4.CrossRefGoogle Scholar
  9. Bailey, B. P., Konstan, J. A., & Carlis, J. V. (2001). The effects of interruptions on task performance, annoyance, and anxiety in the user interface. In Interact (Vol. 1, pp. 593–601).Google Scholar
  10. Barley, S. R., Meyerson, D. E., & Grodal, S. (2011). E-mail as a source and symbol of stress. Organization Science, 22(4), 887–906.CrossRefGoogle Scholar
  11. Barratt, E. S. (1985). Impulsiveness subtraits: Arousal and information processing. In J. T. Spence & C. E. Izard (Eds.), Motivation, emotion and personality (pp. 137–146). Elsevier Science: North Holland.Google Scholar
  12. Baumeister, R. F., Bratslavsky, E., Muraven, M., & Tice, D. M. (1998). Ego depletion: Is the active self a limited resource? Journal of Personality and Social Psychology, 74(5), 1252.PubMedPubMedCentralCrossRefGoogle Scholar
  13. Bianchi, A., & Phillips, J. G. (2005). Psychological predictors of problem mobile phone use. CyberPsychology & Behavior, 8(1), 39–51.CrossRefGoogle Scholar
  14. 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.PubMedCrossRefGoogle Scholar
  15. Boyd, D. (2012). Participating in the always-on lifestyle. In M. Mandiberg (Ed.), The Social Media Reader (pp. 71–76). New York: New York University.Google Scholar
  16. Bragazzi, N. L., & Del Puente, G. (2014). A proposal for including nomophobia in the new DSM-V. Psychology Research and Behavior Management, 7, 155.PubMedPubMedCentralCrossRefGoogle Scholar
  17. Brand, M., Young, K. S., & Laier, C. (2014). Prefrontal control and Internet addiction: A theoretical model and review of neuropsychological and neuroimaging findings. Frontiers in Human Neuroscience, 8, 375.PubMedPubMedCentralCrossRefGoogle Scholar
  18. Brasel, S. A., & Gips, J. (2011). Media multitasking behavior: Concurrent television and computer usage. Cyberpsychology, Behavior, and Social Networking, 14(9), 527–534.CrossRefGoogle Scholar
  19. Buglass, S. L., Binder, J. F., Betts, L. R., & Underwood, J. D. (2017). Motivators of online vulnerability: The impact of social network site use and FOMO. Computers in Human Behavior, 66, 248–255.CrossRefGoogle Scholar
  20. Bush, G., Luu, P., & Posner, M. I. (2000). Cognitive and emotional influences in anterior cingulate cortex. Trends in cognitive sciences, 4(6), 215–222.PubMedCrossRefGoogle Scholar
  21. Caplan, S. E. (2003). Preference for online social interaction: A theory of problematic Internet use and psychosocial well-being. Communication Research, 30(6), 625–648.CrossRefGoogle Scholar
  22. Carrier, L. M., Cheever, N. A., Rosen, L. D., Benitez, S., & Chang, J. (2009). Multitasking across generations: Multitasking choices and difficulty ratings in three generations of Americans. Computers in Human Behavior, 25(2), 483–489.CrossRefGoogle Scholar
  23. Chassiakos, Y. L. R., Radesky, J., Christakis, D., Moreno, M. A., & Cross, C. (2016). Children and adolescents and digital media. Pediatrics, 138(5), e20162593.CrossRefGoogle Scholar
  24. Chen, S. H., Weng, L. J., Su, Y. J., Wu, H. M., & Yang, P. F. (2003). Development of a Chinese internet addiction scale and its psychometric study. Chinese Journal of Psychology.Google Scholar
  25. Chen, Y. Q., & Hsieh, S. (2018). The relationship between internet-gaming experience and executive functions measured by virtual environment compared with conventional laboratory multitasks. PLoS ONE, 13(6), e0198339.PubMedPubMedCentralCrossRefGoogle Scholar
  26. Christopher, D. M. & Rosselli, M. (2019). Information technology induced attentional switching effects on inhibitory control. Applied Neuropsychology: Adult. https://doi.org/10.1080/23279095.2019.1633535.
  27. Clemmons, D. (2017). Parental perceptions of children and adolescent internet use, executive functioning, and parenting style. Doctoral dissertation, Middle Tennessee State University.Google Scholar
  28. Common Sense Media. (2013). Zero to eight: Children’s media use in America 2013.Google Scholar
  29. Corbetta, M., & Shulman, G. L. (2002). Control of goal-directed and stimulus-driven attention in the brain. Nature Reviews Neuroscience, 3(3), 201.PubMedCrossRefGoogle Scholar
  30. Dabbish, L. A., Kraut, R. E., Fussell, S., & Kiesler, S. (2005, April). Understanding email use: Predicting action on a message. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (pp. 691–700). ACM.Google Scholar
  31. Davis, G. B., & Olson, M. H. (1984). Management information systems: Conceptual foundations, structure, and development. McGraw-Hill, Inc.Google Scholar
  32. Dickman, S. J. (1990). Functional and dysfunctional impulsivity: Personality and cognitive correlates. Journal of Personality and Social Psychology, 58(1), 95.PubMedCrossRefGoogle Scholar
  33. Dong, G., Lin, X., Zhou, H., & Lu, Q. (2014). Cognitive flexibility in internet addicts: fMRI evidence from difficult-to-easy and easy-to-difficult switching situations. Addictive Behaviors, 39(3), 677–683.PubMedCrossRefGoogle Scholar
  34. Dong, G., Wu, L., Wang, Z., Wang, Y., Du, X., & Potenza, M. N. (2018). Diffusion-weighted MRI measures suggest increased white-matter integrity in Internet gaming disorder: Evidence from the comparison with recreational Internet game users. Addictive Behaviors, 81, 32–38.PubMedCrossRefGoogle Scholar
  35. Donnelly, E., & Kuss, D. J. (2016). Depression among users of social networking sites (SNSs): The role of SNS addiction and increased usage. Journal of Addiction and Preventive Medicine, 1(2), 107.Google Scholar
  36. Elmore, T. (2014). Nomophobia: A rising trend in students. Psychology Today. Available from: https://www.psychologytoday.com/blog/artificial-maturity/201409/nomophobia-rising-trend-in-students. Last accessed April 17, 2019.
  37. Ezoe, S., Iida, T., Inoue, K., & Toda, M. (2016). Development of Japanese version of smartphone dependence scale. Open Journal of Preventive Medicine, 6(07), 179.CrossRefGoogle Scholar
  38. Falkinger, J. (2008). Limited attention as a scarce resource in information-rich economies. The Economic Journal, 118(532), 1596–1620.CrossRefGoogle Scholar
  39. Fan, J., McCandliss, B. D., Sommer, T., Raz, A., & Posner, M. I. (2002). Testing the efficiency and independence of attentional networks. Journal of Cognitive Neuroscience, 14(3), 340–347.CrossRefGoogle Scholar
  40. Farooqui, I. A., Pore, P., & Gothankar, J. (2018). Nomophobia: An emerging issue in medical institutions? Journal of Mental Health, 27(5), 438–441.PubMedCrossRefGoogle Scholar
  41. Gailliot, M. T., Baumeister, R. F., DeWall, C. N., Maner, J. K., Plant, E. A., Tice, D. M., .… & Schmeichel, B. J. (2007). Self-control relies on glucose as a limited energy source: Willpower is more than a metaphor. Journal of Personality and Social Psychology, 92(2), 325.Google Scholar
  42. Gazzaley, A., & Rosen, L. D. (2016). The distracted mind: Ancient brains in a high-tech world. Mit Press.Google Scholar
  43. Glass, D. C., Singer, J. E., & Friedman, L. N. (1969). Psychic cost of adaptation to an environmental stressor. Journal of Personality and Social Psychology, 12(3), 200.PubMedCrossRefGoogle Scholar
  44. Goleman, D. (2015). Focus: The hidden driver of excellence. New York: Harper.Google Scholar
  45. González-Cabrera, J., León-Mejía, A., Pérez-Sancho, C., & Calvete, E. (2017). Adaptation of the Nomophobia Questionnaire (NMP-Q) to Spanish in a sample of adolescents. Actas Españolas de Psiquiatria, 45(4), 137–144.PubMedGoogle Scholar
  46. González, V. M., & Mark, G. (2004, April). Constant, constant, multi-tasking craziness: Managing multiple working spheres. In In Proceedings of the SIGCHI conference on Human factors in computing systems (pp. 113–120). ACM.Google Scholar
  47. Goodrich, S. A., Pempek, T. A., & Calvert, S. L. (2009). Formal production features of infant and toddler DVDs. Archives of Pediatrics and Adolescent Medicine, 163(12), 1151–1156.PubMedCrossRefGoogle Scholar
  48. Green, C. S., & Bavelier, D. (2003). Action video game modifies visual selective attention. Nature, 423(6939), 534.PubMedCrossRefGoogle Scholar
  49. Gupta, A., Li, H., & Sharda, R. (2013). Should I send this message? Understanding the impact of interruptions, social hierarchy and perceived task complexity on user performance and perceived workload. Decision Support Systems, 55(1), 135–145.CrossRefGoogle Scholar
  50. Hagger, M. S., Wood, C., Stiff, C., & Chatzisarantis, N. L. (2010). Ego depletion and the strength model of self-control: A meta-analysis. Psychological Bulletin, 136(4), 495.PubMedCrossRefGoogle Scholar
  51. Hartman, B., & Miguel, S. F. S. (2017). Optimizing client and student learning from the brain’s perspective. Journal of the American Veterinary Medical Association, 251(1), 33–35.PubMedCrossRefGoogle Scholar
  52. Inzlicht, M., & Gutsell, J. N. (2007). Running on empty: Neural signals for self-control failure. Psychological Science, 18(11), 933–937.PubMedCrossRefGoogle Scholar
  53. Iqbal, S. T., & Horvitz, E. (2007, April). Disruption and recovery of computing tasks: Field study, analysis, and directions. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (pp. 677–686). ACM.Google Scholar
  54. Jackson, T., Dawson, R., & Wilson, D. (2003). Reducing the effect of email interruptions on employees. International Journal of Information Management, 23(1), 55–65.CrossRefGoogle Scholar
  55. Jurado, M. B., & Rosselli, M. (2007). The elusive nature of executive functions: A review of our current understanding. Neuropsychology Review, 17(3), 213–233.PubMedPubMedCentralCrossRefGoogle Scholar
  56. Kahneman, D. (1973). Attention and effort (Vol. 1063). Englewood Cliffs, NJ: Prentice-Hall.Google Scholar
  57. Kaplan, S., & Berman, M. G. (2010). Directed attention as a common resource for executive functioning and self-regulation. Perspectives on Psychological Science, 5(1), 43–57.PubMedCrossRefGoogle Scholar
  58. Khan, J. (2013, October 19). Information technology definition and examples. Retrieved from http://www.byte-notes.com/information-technology-definition-and-examples.
  59. Kim, Y. J., Lim, J. A., Lee, J. Y., Oh, S., Kim, S. N., Kim, D. J., … & Choi, J. S. (2017). Impulsivity and compulsivity in Internet gaming disorder: A comparison with obsessive–compulsive disorder and alcohol use disorder. Journal of Behavioral Addictions, 6(4), 545–553.Google Scholar
  60. King, D. L., & Delfabbro, P. H. (2014). The cognitive psychology of Internet gaming disorder. Clinical Psychology Review, 34, 298–308.PubMedCrossRefGoogle Scholar
  61. Ko, C. H., Hsieh, T. J., Chen, C. Y., Yen, C. F., Chen, C. S., Yen, J. Y., … & Liu, G. C. (2014). Altered brain activation during response inhibition and error processing in subjects with Internet gaming disorder: a functional magnetic imaging study. European Archives of Psychiatry and Clinical Neuroscience, 264(8), 661–672.Google Scholar
  62. Kononova, A. (2013). Multitasking across borders: A cross-national study of media multitasking behaviors, its antecedents, and outcomes. International Journal of Communication, 7, 23.Google Scholar
  63. Kraushaar, J. M., & Novak, D. C. (2010). Examining the affects of student multitasking with laptops during the lecture. Journal of Information Systems Education, 21(2), 241.Google Scholar
  64. Kuss, D. J., & Griffiths, M. D. (2011). Online social networking and addiction—A review of the psychological literature. International Journal of Environmental Research and Public Health, 8(9), 3528–3552.PubMedPubMedCentralCrossRefGoogle Scholar
  65. Kuss, D. J., & Griffiths, M. D. (2012). Internet gaming addiction: A systematic review of empirical research. International Journal of Mental Health and Addiction, 10(2), 278–296.CrossRefGoogle Scholar
  66. Kuss, D., & Griffiths, M. (2017). Social networking sites and addiction: Ten lessons learned. International Journal of Environmental Research and Public Health, 14(3), 311.PubMedCentralCrossRefGoogle Scholar
  67. Lee, H. W., Choi, J. S., Shin, Y. C., Lee, J. Y., Jung, H. Y., & Kwon, J. S. (2012). Impulsivity in internet addiction: A comparison with pathological gambling. Cyberpsychology, Behavior, and Social Networking, 15(7), 373–377.CrossRefGoogle Scholar
  68. Mark, G., González, V. M., & Harris, J. (2005, April). No task left behind?: Examining the nature of fragmented work. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (pp. 321–330). ACM.Google Scholar
  69. Mark, G., Gudith, D., & Klocke, U. (2008, April). The cost of interrupted work: more speed and stress. In Proceedings of the SIGCHI conference on Human Factors in Computing Systems (pp. 107–110). ACM.Google Scholar
  70. Oberst, U., Wegmann, E., Stodt, B., Brand, M., & Chamarro, A. (2017). Negative consequences from heavy social networking in adolescents: The mediating role of fear of missing out. Journal of Adolescence, 55, 51–60.PubMedCrossRefGoogle Scholar
  71. Oblinger, D., & Oblinger, J. (2005). Is it age or IT: First steps toward understanding the Net generation. Educating the Net Generation, 2(1–2), 20.Google Scholar
  72. O’Conaill, B., & Frohlich, D. (1995, May). Timespace in the workplace: Dealing with interruptions. In Conference Companion on Human Factors in Computing Systems (pp. 262–263). ACM.Google Scholar
  73. Olivencia-Carrión, M. A., Ferri-García, R., del Mar Rueda, M., Jiménez-Torres, M. G., & López-Torrecillas, F. (2018). Temperament and characteristics related to nomophobia. Psychiatry Research, 266, 5–10.PubMedCrossRefGoogle Scholar
  74. Ophir, E., Nass, C., & Wagner, A. D. (2009). Cognitive control in media multitaskers. Proceedings of the National Academy of Sciences, 106(37), 15583–15587.CrossRefGoogle Scholar
  75. Petersen, S. E., & Posner, M. I. (2012). The attention system of the human brain: 20 years after. Annual Review of Neuroscience, 35, 73–89.PubMedPubMedCentralCrossRefGoogle Scholar
  76. Petry, N. M., Rehbein, F., Gentile, D. A., Lemmens, J. S., Rumpf, H. J., Mossle, T., … O’Brien, C. P. (2014). An international consensus for assessing internet gaming disorder using the new DSM-5 approach. Addiction, 109, 1399–1406.PubMedCrossRefGoogle Scholar
  77. Posner, M. I., & Petersen, S. E. (1990). The attention system of the human brain. Annual Review of Neuroscience, 13(1), 25–42.PubMedCrossRefGoogle Scholar
  78. 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(4), 1841–1848.CrossRefGoogle Scholar
  79. Reynolds, B., Ortengren, A., Richards, J. B., & de Wit, H. (2006). Dimensions of impulsive behavior: Personality and behavioral measures. Personality and Individual Differences, 40(2), 305–315.CrossRefGoogle Scholar
  80. Rideout, V. J., Foehr, U. G., & Roberts, D. F. (2010). Generation M 2: Media in the lives of 8- to 18-year-olds. Henry J. Kaiser Family Foundation.Google Scholar
  81. Rothbart, M. K., Ahadi, S. A., Hershey, K. L., & Fisher, P. (2001). Investigations of temperament at three to seven years: The Children’s behavior questionnaire. Child Development, 72(5), 1394–1408.PubMedCrossRefGoogle Scholar
  82. Rothbart, M. K., & Posner, M. I. (2015). The developing brain in a multitasking world. Developmental Review, 35, 42–63.PubMedCrossRefGoogle Scholar
  83. Rueda, M. R. (2012). Effortful control. Handbook of Temperament, 145–167.Google Scholar
  84. Sheth, S. A., Mian, M. K., Patel, S. R., Asaad, W. F., Williams, Z. M., Dougherty, D. D., … & Eskandar, E. N. (2012). Human dorsal anterior cingulate cortex neurons mediate ongoing behavioural adaptation. Nature, 488(7410), 218.Google Scholar
  85. Siu, N., Iverson, L., & Tang, A. (2006, November). Going with the flow: Email awareness and task management. In Proceedings of the 2006 20th Anniversary Conference on Computer Supported Cooperative Work (pp. 441–450). ACM.Google Scholar
  86. Speier, C., Vessey, I., & Valacich, J. S. (2003). The effects of interruptions, task complexity, and information presentation on computer-supported decision-making performance. Decision Sciences, 34(4), 771–797.CrossRefGoogle Scholar
  87. Sridharan, D., Levitin, D. J., & Menon, V. (2008). A critical role for the right fronto-insular cortex in switching between central-executive and default-mode networks. Proceedings of the National Academy of Sciences, 105(34), 12569–12574.CrossRefGoogle Scholar
  88. Thomas, G. F., King, C. L., Baroni, B., Cook, L., Keitelman, M., Miller, S., et al. (2006). Reconceptualizing e-mail overload. Journal of Business and Technical Communication, 20(3), 252–287.CrossRefGoogle Scholar
  89. Tice, D. M., Baumeister, R. F., Shmueli, D., & Muraven, M. (2007). Restoring the self: Positive affect helps improve self-regulation following ego depletion. Journal of Experimental Social Psychology, 43(3), 379–384.CrossRefGoogle Scholar
  90. Toda, M., Monden, K., Kubo, K., & Morimoto, K. (2006). Mobile phone dependence and health-related lifestyle of university students. Social Behavior and Personality: An International Journal, 34(10), 1277–1284.CrossRefGoogle Scholar
  91. Turel, O., & Serenko, A. (2012). The benefits and dangers of enjoyment with social networking websites. European Journal of Information Systems, 21(5), 512–528.CrossRefGoogle Scholar
  92. Tyler, J. R., & Tang, J. C. (2003). When can I expect an email response? A study of rhythms in email usage. In ECSCW 2003 (pp. 239–258). Dordrecht: Springer.Google Scholar
  93. Uncapher, M. R., Lin, L., Rosen, L. D., Kirkorian, H. L., Baron, N. S., Bailey, K., … & Wagner, A. D. (2017). Media multitasking and cognitive, psychological, neural, and learning differences. Pediatrics, 140(Supplement 2), S62–S66.Google Scholar
  94. Vohs, K. D., Baumeister, R. F., & Ciarocco, N. J. (2005). Self-regulation and self-presentation: Regulatory resource depletion impairs impression management and effortful self-presentation depletes regulatory resources. Journal of Personality and Social Psychology, 88(4), 632.PubMedCrossRefGoogle Scholar
  95. Vohs, K. D., Baumeister, R. F., Schmeichel, B. J., Twenge, J. M., Nelson, N. M., & Tice, D. M. (2008). Making choices impairs subsequent self-control: A limited-resource account of decision making, self-regulation, and active initiative. In Self-regulation and self-control (pp. 45–77). Routledge.Google Scholar
  96. Webb, T. L., & Sheeran, P. (2003). Can implementation intentions help to overcome ego-depletion? Journal of Experimental Social Psychology, 39(3), 279–286.CrossRefGoogle Scholar
  97. Whittaker, S., & Sidner, C. (1996, April). Email overload: Exploring personal information management of email. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (pp. 276–283). ACM.Google Scholar
  98. Whittaker, S., Bellotti, V., & Gwizdka, J. (2006). Email in personal information management. Communications of the ACM, 49(1), 68–73.CrossRefGoogle Scholar
  99. Whittaker, S., Bellotti, V., & Cwizdka, J. (2007). CD everything through Email. Personal Information Management, 167.Google Scholar
  100. Wickens, C. D. (1980). The structure of attentional resources. Attention and Performance VIII, 8, 239–257.Google Scholar
  101. Wickens, C. D. (2002). Multiple resources and performance prediction. Theoretical Issues in Ergonomics Science, 3(2), 159–177.CrossRefGoogle Scholar
  102. Wolniczak, I., Cáceres-DelAguila, J. A., Palma-Ardiles, G., Arroyo, K. J., Solís-Visscher, R., Paredes-Yauri, S., … & Bernabe-Ortiz, A. (2013). Association between Facebook dependence and poor sleep quality: A study in a sample of undergraduate students in Peru. PloS One, 8(3), e59087.Google Scholar
  103. Wortham, J. (2012, June 30). When internet distractions make us more efficient. Retrieved from https://www.nytimes.com/2012/07/01/technology/when-internet-distractions-make-us-more-efficient.html.
  104. Wu, A. M., Cheung, V. I., Ku, L., & Hung, E. P. (2013). Psychological risk factors of addiction to social networking sites among Chinese smartphone users. Journal of Behavioral Addictions, 2(3), 160–166.PubMedPubMedCentralCrossRefGoogle Scholar
  105. Yildirim, C., & Correia, A. P. (2015). Exploring the dimensions of nomophobia: Development and validation of a self-reported questionnaire. Computers in Human Behavior, 49, 130–137.CrossRefGoogle Scholar
  106. Young, K. S. (1998). Internet addiction: The emergence of a new clinical disorder. Cyberpsychology & Behavior, 1(3), 237–244.CrossRefGoogle Scholar
  107. Zhou, Z., Zhu, H., Li, C., & Wang, J. (2014). Internet addictive individuals share impulsivity and executive dysfunction with alcohol-dependent patients. Frontiers in Behavioral Neuroscience, 8, 288.PubMedPubMedCentralGoogle Scholar

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Authors and Affiliations

  1. 1.Department of PsychologyFlorida Atlantic UniversityDavieUSA

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