The European Educational Researcher

Is Personality Related to Risks Associated with Smartphones?

The European Educational Researcher, Volume 4, Issue 1, February 2021, pp. 29-42
OPEN ACCESS VIEWS: 721 DOWNLOADS: 393 Publication date: 15 Feb 2021
ABSTRACT
This is a preliminary study investigating the risks associated with smartphone addiction by personality and type of phone. The results relate to personal background, personality, smartphone usage, smartphone satisfaction, level of exposure to risks, and correlations between the variables. A significant but partial correlation was found between personality and smartphone addiction, satisfaction, and level of risk. Smartphone addiction was found to be positively correlated with extraversion (r = .21, p < .01). Satisfaction was found to be correlated positively with extraversion (r = .28, p < .01), agreeableness (r = .41, p < .01), and conscientiousness (r = .38, p < .01), and negatively with emotional stability (r = -.57, p < .01). Risk was found to be negatively correlated with agreeableness (r = -.17, p < .05). Differences between types of phone in satisfaction, risk, and smartphone addiction were examined. A significant correlation (F(4, 145) = 2.96, p < .05) was found in the level of smartphone addiction, but no differences were found in smartphone satisfaction or the level of risk associated with smartphones (F(4, 145) = 2.96, p > .05 and F(4, 145) = .45, p > .05, respectively). According to the results, it seems that personality greatly affects phone usage and exposure to risks, regardless of the type of phone, and that reducing smartphone usage may be beneficial. However, further research using larger study samples is needed to confirm this.
KEYWORDS
big five personality traits, personality, smartphone, smartphone addiction, smartphone risk.
CITATION (APA)
Yavich, R., & Davidovitch, N. (2021). Is Personality Related to Risks Associated with Smartphones?. The European Educational Researcher, 4(1), 29-42. https://doi.org/10.31757/euer.412
REFERENCES
  1. References
  2. Ahmed, I., Qazi, T. F., & Perji, K. A. (2011). Mobile phone to youngsters: Necessity or addiction. Information Management and Business Review, 2(5), 229–238. https://doi.org/10.22610/imbr.v2i5.902
  3. American Psychological Association. (2019, December 12). Digital guidelines: Promoting healthy technology use for children. https://www.apa.org/helpcenter/digital-guidelines.aspx
  4. Bianchi, A., & Phillips, J. G. (2005). Psychological predictors of problem mobile phone use. CyberPsychology & Behavior, 8(1), 39–51. https://doi.org/10.1089/cpb.2005.8.39
  5. Billieux, J., Maurage, P., Lopez-Fernandez, O., Kuss, D. J., & Griffiths, M. D. (2015). Can disordered mobile phone use be considered a behavioral addiction? An update on current evidence and a comprehensive model for future research. Current Addiction Reports, 2(2), 156–162. https://doi.org/10.1007/s40429-015-0054-y
  6. Busch, P. A. (2020). Problematic smartphone use and its associations with personality traits and hedonic motivation. PACIS 2020: Proceedings of the Pacific Asia Conference on Information Systems. Paper 76. https://aisel.aisnet.
  7. org/pacis2020/76
  8. Butt, S., & Phillips, J. G. (2008). Personality and self reported mobile phone use. Computers in Human Behavior, 24(2), 346–360. https://doi.org/10.1016/j.chb.2007.01.019
  9. Carvalho, L. F., Sette, C. P., & Ferrari, B. L. (2018). Problematic smartphone use relationship with pathological personality traits: Systematic review and meta-analysis. Cyberpsychology: Journal of Psychosocial Research on Cyberspace, 12(3), Article 5. https://doi.org/10.5817/CP2018-3-5
  10. Costa, P. T., Jr., & McCrae, R. R. (1992). Revised NEO Personality Inventory (NEO-PI-R) and NEO Five-Factor (NEO-FFI) Inventory professional manual. Psychological Assessment Resources (PAR).
  11. Cyders, M. A., & Smith, G. T. (2008). Emotion-based dispositions to rash action: Positive and negative urgency. Psychological Bulletin, 134(6), 807–828. https://doi.org/10.1037/a0013341
  12. Davidovitch, N., & Yavich, R. (2018). The impact of mobile tablet use on students' perception of learning processes. Problems of Education in the 21st Century, 76(1), 29–42. http://www.scientiasocialis.lt/pec/node/1105
  13. De-Sola Gutiérrez, J., Rodríguez de Fonseca, F., & Rubio, G. (2016). Cell-phone addiction: A review. Frontiers in Psychiatry, 7, 175. https://doi.org/10.3389/fpsyt.2016.00175
  14. Ehrenberg, A., Juckes, S., White, K. M., & Walsh, S. P. (2008). Personality and self-esteem as predictors of young people's technology use. CyberPsychology & Behavior, 11(6), 739–741. https://doi.org/10.1089/cpb.2008.0030
  15. Horwood, S., & Anglim, J. (2020). Emotion regulation difficulties, personality, and problematic smartphone use. Cyberpsychology, Behavior, and Social Networking. Advance online publication. https://doi.org/10.1089/cyber.
  16. 2020.0328
  17. Igarashi, T., Motoyoshi, T., Takai, J., & Yoshida, T. (2008). No mobile, no life: Self-perception and text-message dependency among Japanese high school students. Computers in Human Behavior, 24(5), 2311–2324. https://doi.org/10.1016/j.chb.2007.12.001
  18. John, O. P., & Srivastava, S. (1999). The Big Five trait taxonomy: History, measurement, and theoretical perspectives. In L. A. Pervin & O. P. John (Eds.), Handbook of personality: Theory and research (2nd ed., pp. 102–138). The Guilford Press—A Division of Guilford Publications, Inc.
  19. Junco, R., & Cotten, S. R. (2012). No A 4 U: The relationship between multitasking and academic performance. Computers & Education, 59(2), 505–514. https://doi.org/10.1016/j.compedu.2011.12.023
  20. Keizer-Heller, S. (2018, September 20). Tslil meḳuvan—Pgi'ot nafshiyot biladim uvivne no'ar bareshet [Online tone—Emotional harm to children and teenagers on the Web]. Psichologia Ivrit. https://www.hebpsy.net/articles.asp?
  21. id=3728
  22. Krithika, M., & Vasantha, S. (2013). The mobile phone usage among teens and young adults impact of invading technology. International Journal of Innovative Research in Science, Engineering and Technology, 2(12), 7259–7265. http://www.ijirset.com/volume-2-issue-12.html
  23. Lane, W., & Manner, C. (2011). The impact of personality traits on smartphone ownership and use. International Journal of Business and Social Science, 2(17), 22–28. https://ijbssnet.com/journal/index/607
  24. Lowe-Calverley, E., & Pontes, H. M. (2020). Challenging the concept of smartphone addiction: An empirical pilot study of smartphone usage patterns and psychological well-being. Cyberpsychology, Behavior, and Social Networking, 23(8), 550–556. http://doi.org/10.1089/cyber.2019.0719
  25. Maier, C. (2012). Personality within information systems research: A literature analysis. ECIS 2012: Proceedings of the 20th European Conference on Information Systems. Paper 101. https://aisel.aisnet.org/ecis2012/101
  26. Maier, C., Mattke, J., Pflüner, K., & Weitzel, T. (2020). Smartphone use while driving: A fuzzy-set qualitative comparative analysis of personality profiles influencing frequent high-risk smartphone use while driving in Germany. International Journal of Information Management, 55. https://doi.org/10.1016/j.ijinfomgt.2020.
  27. 102207
  28. Marengo, D., Sindermann, C., Häckel, D., Settanni, M., Elhai, J. D., & Montag, C. (2020). The association between the Big Five personality traits and smartphone use disorder: A meta-analysis. Journal of Behavioral Addictions, 9(3), 534–550. https://doi.org/10.1556/2006.2020.00069
  29. Montag, C., Wegmann, E., Sariyska, R., Demetrovics, Z., & Brand, M. (2019). How to overcome taxonomical problems in the study of Internet use disorders and what to do with “smartphone addiction”? Journal of Behavioral Addictions. Advance online publication. https://doi.org/10.1556/2006.8.2019.59
  30. Panova, T., & Carbonell, X. (2018). Is smartphone addiction really an addiction? Journal of Behavioral Addictions, 7(2), 252–259. https://doi.org/10.1556/2006.7.2018.49
  31. Qureshi, H. (2012, July 16). Apple: From iPhone 1 to iPhone 5—Evolution, features and future review. The News Tribe. http://www.thenewstribe.com/2012/07/16/apple-from-iphone-1-to-iphone-5-evolution-features-and-future-review/
  32. Ra, C. K., Cho, J., Stone, M. D., De La Cerda, J., Goldenson, N. I., Moroney, E., Tung, I., Lee, S. S., & Leventhal, A. M. (2018). Association of digital media use with subsequent symptoms of attention-deficit/hyperactivity disorder among adolescents. JAMA, 320(3), 255–263. https://doi.org/10.1001/jama.2018.8931
  33. Rees, H., & Noyes, J. M. (2007). Mobile telephones, computers, and the Internet: Sex differences in adolescents’ use and attitudes. CyberPsychology & Behavior, 10(3), 482–484. https://doi.org/10.1089/cpb.2006.9927
  34. Roberts, J. A., & Pirog, S. F., III. (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/
  35. 10.1556/jba.1.2012.011
  36. Schönbrodt, F. D., & Perugini, M. (2013). At what sample size do correlations stabilize? Journal of Research in Personality, 47(5), 609–612. https://doi.org/10.1016/j.jrp.2013.05.009
  37. Scott, E. (2020, February 19). How to deal with FOMO in your life: The origin of FOMO and how it affects our health. Verywell Mind. https://www.verywellmind.com/how-to-cope-with-fomo-4174664
  38. Seo, C. M., Lee, J. H., Choi, T. Y., Kim, J. H., Shin, I. H., & Woo, J. M. (2012). Study for relations between smart-phone addiction level and Korea youth self report. Journal of the Korean Society of Biological Therapies in Psychiatry, 18(2), 223–230. http://www.dbpia.co.kr/Journal/articleDetail?nodeId=NODE02077472
  39. Takao, M., Takahashi, S., & Kitamura, M. (2009). Addictive personality and problematic mobile phone use. CyberPsychology & Behavior, 12(5), 501–507. https://doi.org/10.1089/cpb.2009.0022
  40. TheMarker. (2018, February 22). Larishona: Nefila bimkhirot hasmartfonim beraḥave ha’olam [For the first time: A decline in smartphone sales worldwide]. https://www.themarker.com/wallstreet/1.5845097
  41. Vaidya, A., Pathak, V., & Vaidya, A. (2016). Mobile phone usage among youth. International Journal of Applied Research and Studies (iJARS), 5(3), 1–16. https://doi.org/10.20908/ijars.v5i3.9483
  42. Walensky, L. D., Gascard, P., Field, M. E., Blackshaw, S., Conboy, J. G., Mohandas, N., & Snyder, S. H. (1998). The 13-kD FK506 binding protein, FKBP13, interacts with a novel homologue of the erythrocyte membrane cytoskeletal protein 4.1. Journal of Cell Biology, 141(1), 143–153. https://doi.org/10.1083/jcb.141.1.143
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