Types of smartphone usage and relations with problematic smartphone behaviors: The role of content consumption vs. social smartphone use
Vol.11,No.2(2017)
Information technology; mobile phones; internet addiction; gratification; social networks
Blumler, J. G. (1979). The role of theory in uses and gratifications studies. Communication Research, 6, 9-36. https://doi.org/10.1177/009365027900600102
Blumler, J. G., & Katz, E. (1974). The uses of mass communications: Current perspectives on gratifications research. Beverly Hills, California: Sage.
Cazzulino, F., Burke, R. V., Muller, V., Arbogast, H., & Upperman, J. S. (2014). Cell phones and young drivers: A systematic review regarding the association between psychological factors and prevention. Traffic Injury Prevention, 15, 234-242. https://doi.org/10.1080/15389588.2013.822075
Chou, C., & Hsiao, M.-C. (2000). Internet addiction, usage, gratification, and pleasure experience: The Taiwan college students' case. Computers & Education, 35, 65-80. https://doi.org/10.1016/S0360-1315(00)00019-1
Demirci, K., Akgonul, M., & Akpinar, A. (2015). Relationship of smartphone use severity with sleep quality, depression, and anxiety in university students. Journal of Behavioral Addictions, 4, 85-92. https://doi.org/10.1556/2006.4.2015.010
Dhir, A., Chen, S., & Nieminen, M. (2015). Predicting adolescent Internet addiction: The roles of demographics, technology accessibility, unwillingness to communicate and sought Internet gratifications. Computers in Human Behavior, 51, 24-33. https://doi.org/10.1016/j.chb.2015.04.056
Elhai, J. D., Dvorak, R. D., Levine, J. C., & Hall, B. J. (2017). Problematic smartphone use: A conceptual overview and systematic review of relations with anxiety and depression psychopathology. Journal of Affective Disorders, 207, 251-259. https://doi.org/10.1016/j.jad.2016.08.030
Elhai, J. D., Levine, J. C., Dvorak, R. D., & Hall, B. J. (2016). Fear of missing out, need for touch, anxiety and depression are related to problematic smartphone use. Computers in Human Behavior, 63, 509-516. https://doi.org/10.1016/j.chb.2016.05.079
Elhai, J. D., Levine, J. C., Dvorak, R. D., & Hall, B. J. (2017). Non-social features of smartphone use are most related to depression, anxiety and problematic smartphone use. Computers in Human Behavior, 69, 75-82. https://doi.org/10.1016/j.chb.2016.12.023
Eyvazlou, M., Zarei, E., Rahimi, A., & Abazari, M. (2016). Association between overuse of mobile phones on quality of sleep and general health among occupational health and safety students. Chronobiology International, 33, 293-300. https://doi.org/10.3109/07420528.2015.1135933
Godwin-Jones, R. (2011). Mobile apps for language learning. Language Learning and Technology, 15(2), 2-11.
Gunuc, S. (2015). Relationships and associations between video game and Internet addictions: Is tolerance a symptom seen in all conditions. Computers in Human Behavior, 49, 517-525. https://doi.org/10.1016/j.chb.2015.03.063
Jeong, S.-H., Kim, H., Yum, J.-Y., & Hwang, Y. (2016). What type of content are smartphone users addicted to?: SNS vs. games. Computers in Human Behavior, 54, 10-17. https://doi.org/10.1016/j.chb.2015.07.035
Kalkbrenner, J., & McCampbell, A. (2011). The advent of smartphones: A study on the effect of handheld electronics on personal and professional productivity. Journal of Applied Global Research, 4, 1-9.
Kardefelt-Winther, D. (2014). A conceptual and methodological critique of internet addiction research: Towards a model of compensatory internet use. Computers in Human Behavior, 31, 351-354. https://doi.org/10.1016/j.chb.2013.10.059
Kawachi, I., & Berkman, L. F. (2001). Social ties and mental health. Journal of Urban Health, 78, 458-467. https://doi.org/10.1093/jurban/78.3.458
Kim, J., & Haridakis, P. M. (2009). The role of internet user characteristics and motives in explaining three dimensions of internet addiction. Journal of Computer-Mediated Communication, 14, 988-1015. https://doi.org/10.1111/j.1083-6101.2009.01478.x
Kim, J., Seo, M., & David, P. (2015). Alleviating depression only to become problematic mobile phone users: Can face-to-face communication be the antidote? Computers in Human Behavior, 51, 440-447. https://doi.org/10.1016/j.chb.2015.05.030
Kuss, D. J., Griffiths, M. D., & Binder, J. F. (2013). Internet addiction in students: Prevalence and risk factors. Computers in Human Behavior, 29, 959-966. https://doi.org/10.1016/j.chb.2012.12.024
Kwon, M., Lee, J. Y., Won, W. Y., Park, J. W., Min, J. A., Hahn, C., . . . Kim, D. J. (2013). Development and validation of a smartphone addiction scale (SAS). PLoS One, 8(2), e56936. https://doi.org/10.1371/journal.pone.0056936
Lee, U., Song, J., Lee, J., Ko, M., Lee, C., Kim, Y., . . . Chung, K.-M. (2014, April). Hooked on smartphones: An exploratory study on smartphone overuse among college students. Paper presented at the Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, Toronto, Ontario. Retrieved from http://koasas.kaist.ac.kr/bitstream/10203/191367/1/81485.pdf
Long, J., Liu, T. Q., Liao, Y. H., Qi, C., He, H. Y., Chen, S. B., & Billieux, J. (2016). Prevalence and correlates of problematic smartphone use in a large random sample of Chinese undergraduates. BMC Psychiatry, 16, 408. https://doi.org/10.1186/s12888-016-1083-3
Lopez-Fernandez, O., Honrubia-Serrano, L., Freixa-Blanxart, M., & Gibson, W. (2014). Prevalence of problematic mobile phone use in British adolescents. Cyberpsychology, Behavior, and Social Networking, 17, 91-98. https://doi.org/10.1089/cyber.2012.0260
Lu, X., Watanabe, J., Liu, Q., Uji, M., Shono, M., & Kitamura, T. (2011). Internet and mobile phone text-messaging dependency: Factor structure and correlation with dysphoric mood among Japanese adults. Computers in Human Behavior, 27, 1702-1709. https://doi.org/10.1016/j.chb.2011.02.009
Oulasvirta, A., Rattenbury, T., Ma, L., & Raita, E. (2012). Habits make smartphone use more pervasive. Personal and Ubiquitous Computing, 16, 105-114. https://doi.org/10.1007/s00779-011-0412-2
Ozdalga, E., Ozdalga, A., & Ahuja, N. (2012). The smartphone in medicine: A review of current and potential use among physicians and students. Journal of Medical Internet Research, 14(5), e128. https://doi.org/10.2196/jmir.1994
Park, K. G., Han, S., & Kaid, L. L. (2012). Does social networking service usage mediate the association between smartphone usage and social capital? New Media & Society, 15, 1077-1093. https://doi.org/10.1177/1461444812465927
Park, N., Kim, Y.-C., Shon, H. Y., & Shim, H. (2013). Factors influencing smartphone use and dependency in South Korea. Computers in Human Behavior, 29, 1763-1770. https://doi.org/10.1016/j.chb.2013.02.008
Rebold, M. J., Sheehan, T., Dirlam, M., Maldonado, T., & O'Donnell, D. (2016). The impact of cell phone texting on the amount of time spent exercising at different intensities. Computers in Human Behavior, 55, 167-171. https://doi.org/10.1016/j.chb.2015.09.005
Robinson, T. E., & Berridge, K. C. (2000). The psychology and neurobiology of addiction: An incentive-sensitization view. Addiction, 95(Suppl2), S91-S117. https://doi.org/10.1080/09652140050111681
Rozgonjuk, D., Rosenvald, V., Janno, S., & Täht, K. (2016). Developing a shorter version of the Estonian Smartphone Addiction Proneness Scale (E-SAPS18). Cyberpsychology: Journal of Psychosocial Research on Cyberspace, 10(4), article 4. https://doi.org/10.5817/cp2016-4-4
Seo, D. G., Park, Y., Kim, M. K., & Park, J. (2016). Mobile phone dependency and its impacts on adolescents’ social and academic behaviors. Computers in Human Behavior, 63, 282-292. https://doi.org/10.1016/j.chb.2016.05.026
Shan, Z., Deng, G., Li, J., Li, Y., Zhang, Y., & Zhao, Q. (2013). Correlational analysis of neck/shoulder pain and low back pain with the use of digital products, physical activity and psychological status among adolescents in Shanghai. PLoS One, 8(10), e78109. https://doi.org/10.1371/journal.pone.0078109
Shapiro, D. N., Chandler, J., & Mueller, P. A. (2013). Using Mechanical Turk to study clinical populations. Clinical Psychological Science, 1, 213-220. https://doi.org/10.1177/2167702612469015
Song, I., LaRose, R., Eastin, M. S., & Lin, C. A. (2004). Internet gratifications and Internet addiction: On the uses and abuses of new media. Cyberpsychology, Behavior, and Social Networking, 7, 384-394. https://doi.org/10.1089/cpb.2004.7.384
Steelman, Z. R., Hammer, B. I., & Limayem, M. (2014). Data collection in the digital age: Innovative alternatives to student samples. MIS Quarterly, 38, 355-378. https://doi.org/10.25300/MISQ/2014/38.2.02
Thompson, L. L., Rivara, F. P., Ayyagari, R. C., & Ebel, B. E. (2013). Impact of social and technological distraction on pedestrian crossing behaviour: An observational study. Injury Prevention, 19, 232-237. https://doi.org/10.1136/injuryprev-2012-040601
Trepte, S., Reinecke, L., & Juechems, K. (2012). The social side of gaming: How playing online computer games creates online and offline social support. Computers in Human Behavior, 28, 832-839. https://doi.org/10.1016/j.chb.2011.12.003
van Deursen, A. J. A. M., Bolle, C. L., Hegner, S. M., & Kommers, P. A. M. (2015). Modeling habitual and addictive smartphone behavior: The role of smartphone usage types, emotional intelligence, social stress, self-regulation, age, and gender. Computers in Human Behavior, 45, 411-420. https://doi.org/10.1016/j.chb.2014.12.039
Wang, Z., Tchernev, J. M., & Solloway, T. (2012). A dynamic longitudinal examination of social media use, needs, and gratifications among college students. Computers in Human Behavior, 28, 1829-1839. https://doi.org/10.1016/j.chb.2012.05.001
Wang, J.-L., Wang, H.-Z., Gaskin, J., & Wang, L.-H. (2015). The role of stress and motivation in problematic smartphone use among college students. Computers in Human Behavior, 53, 181-188. https://doi.org/10.1016/j.chb.2015.07.005
West, R., & Turner, L. (2007). Introducing communication theory. New York City, New York: McGraw Hill.
Wise, R. A., & Koob, G. F. (2014). The development and maintenance of drug addiction. Neuropsychopharmacology, 39, 254-262. https://doi.org/10.1038/npp.2013.261
Xie, Y., Szeto, G. P., Dai, J., & Madeleine, P. (2016). A comparison of muscle activity in using touchscreen smartphone among young people with and without chronic neck-shoulder pain. Ergonomics, 59, 61-72. https://doi.org/10.1080/00140139.2015.1056237
Yang, S. C., & Tung, C.-J. (2007). Comparison of Internet addicts and non-addicts in Taiwanese high school. Computers in Human Behavior, 23, 79-96. https://doi.org/10.1016/j.chb.2004.03.037
Zhitomirsky-Geffet, M., & Blau, M. (2016). Cross-generational analysis of predictive factors of addictive behavior in smartphone usage. Computers in Human Behavior, 64, 682-693. https://doi.org/10.1016/j.chb.2016.07.061This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Copyright © 2017 Cyberpsychology: Journal of Psychosocial Research on Cyberspace