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08-04-2020 | Empirical Research

On the Phone When We’re Hanging Out: Digital Social Multitasking (DSMT) and Its Socioemotional Implications

Auteurs: Chia-chen Yang, Kaia Christofferson

Gepubliceerd in: Journal of Youth and Adolescence | Uitgave 6/2020

Abstract

Multitasking on digital devices during social interactions has become increasingly common, but research on this behavior is far from thorough. Expanding on literature of phubbing and technoference, the authors proposed a theoretical framework, digital social multitasking, defined as performing technology-based multitasking during a social interaction, to study the behavior. This mixed-methods study focused on one type of digital social multitasking: phone use during a face-to-face interaction with a friend. Self-report survey data were collected from 222 college students (M_age = 19.87; 82% female; 45% Black or African American, 43% White or European American). Results showed that digital social multitasking mostly took place when the face-to-face interaction was casual, and the majority of the phone-based activities were shared between the participant and the friend. Participants did not hold a negative view of their own or friend’s digital social multitasking, but when they saw their own multitasking as distracting or friend’s multitasking as dismissive, they reported lower friendship quality and higher loneliness. The level of one’s own and friend’s multitasking did not directly associate with friendship quality and loneliness; they only indirectly associated with the well-being outcomes via negative perception of the behavior. Friend’s digital social multitasking had stronger associations with poor socioemotional well-being when the face-to-face interactions were serious in nature. Overall, the socioemotional implications of college emerging adults’ phone use during peer interactions did not seem as alarming as what many may have believed, and the implications were contingent upon the context of the behavior.

vorige artikel The Role of Social Support in the Association between Childhood Adversity and Adolescent Self-injury and Suicide: Findings from a Statewide Sample of High School Students

volgende artikel Cross-Cultural Examination of Links between Parent–Adolescent Communication and Adolescent Psychological Problems in 12 Cultural Groups

It is clear that phubbing concerns negative perception of “partner’s” (rather than self’s) multitasking. Conceptually, technoference may involve negative perception of both partner’s and self’s multitasking, but it was not discussed and defined in the original theory. Given that the most commonly used measure of technoference focuses on partner’s technology use (McDaniel and Coyne 2016), and that the scholars who developed the theory saw technoference and phubbing as closely related constructs (e.g., McDaniel and Drouin 2019), the authors of this study regarded technoference as an example of negative perception of partner’s multitasking in the new framework.

Ang, C. S., Teo, K. M., Ong, Y. L., & Siak, S. L. (2019). Investigation of a preliminary mixed method of phubbing and social connectedness in adolescents. Addiction and Health, 11, 1–10. https://doi.org/10.22122/ahj.v11i1.539.CrossRefPubMed

Baron, N. S. (2008). Adjusting the volume: technology and multitasking in discourse control. In J. E. Katz (Ed.), Handbook of mobile communication studies (pp. 177–193). Cambridge, MA: MIT Press. https://doi.org/10.7551/mitpress/9780262113120.003.0014.CrossRef

Baym, N. K. (2010). Personal connections in the digital age Malden, MA: Polity Press.

Becker, M. W., Alzahabi, R., & Hopwood, C. J. (2013). Media multitasking is associated with symptoms of depression and social anxiety. Cyberpsychology, Behavior, and Social Networking, 16, 132–135. https://doi.org/10.1089/cyber.2012.0291.CrossRef

Berg, J. H. (1987). Responsiveness and self-disclosure. In Derlega, V. J. & Berg J. H. (Eds), Self-disclosure: theory, research, and therapy (pp. 101–130). Boston, MA: Springer.

Boyd, D. (2014). It’s complicated: the social lives of networked teens. New Haven, CT: Yale University Press.

Brasel, S. A., & Gips, J. (2011). Media multitasking behavior: cofncurrent television and computer usage. Cyberpsychology, Behavior, and Social Networking, 14, 527–534. https://doi.org/10.1089/cyber.2010.0350.CrossRef

Brown, B. B., & Larson, J. (2009). Peer relationships in adolescence. In R. M. Lerner & L. Steinberg (Eds), Handbook of adolescent psychology: contextual influences on adolescent development ( pp. 74–103). New York: Wiley.

Brown, G., Manago, A. M., & Trimble, J. E. (2016). Tempted to text: college students’ mobile phone use during a face-to-face interaction with a close friend. Emerging Adulthood, 4, 440–443. https://doi.org/10.1177/2167696816630086.CrossRef

Browne, M. W., & Cudeck, R. (1993). Alternative ways of assessing model fit. In K. A. Bollen & J. S. Long (Eds), Testing structural equation models (pp. 136–162). Newbury Park, CA: Sage.

Bukowski, W. M., Motzoi, C., & Meyer, F. (2009). Friendship as process, function, and outcome. In K. Rubin, W. M. Bukowski & B. Laursen (Eds), Handbook of peer interactions, relationships, and groups ( pp. 217–231). New York: Guilford Press.

Campisi, J., Folan, D., Diehl, G., Kable, T., & Rademeyer, C. (2015). Social media users have different experiences, motivations, and quality of life. Psychiatry Research, 228, 774–780. https://doi.org/10.1016/j.psychres.2015.04.042.CrossRefPubMed

Choi, M., & Toma, C. L. (2014). Social sharing through interpersonal media: patterns and effects on emotional well-being. Computers in Human Behavior, 36, 530–541. https://doi.org/10.1016/j.chb.2014.04.026.CrossRef

Chotpitayasunondh, V., & Douglas, K. M. (2016). How “phubbing” becomes the norm: The antecedents and consequences of snubbing via smartphone. Computers in Human Behavior, 63, 9–18. https://doi.org/10.1016/j.chb.2016.05.018.CrossRef

Chotpitayasunondh, V., & Douglas, K. M. (2018). The effects of “phubbing” on social interaction. Journal of Applied Social Psychology, 48, 304–316. https://doi.org/10.1111/jasp.12506.CrossRef

Creswell, J. W., & Clark, V. L. (2011). Designing and conducting mixed methods research. 2nd ed. Thousand Oaks, CA: Sage.

Dong, Y., & Peng, C. J. (2013). Principled missing data methods for researchers. SpringerPlus, 2, 222–239. https://doi.org/10.1186/2193-1801-2-222.CrossRefPubMedPubMedCentral

Finlay, A. K., Ram, N., Maggs, J. L., & Caldwell, L. L. (2012). Leisure activities, the social weekend, and alcohol use: evidence from a daily study of first-year college students. Journal of Studies on Alcohol and Drugs, 73, 250–259. https://doi.org/10.15288/jsad.2012.73.250.CrossRefPubMedPubMedCentral

Forgays, D. K., Hyman, I., & Schreiber, J. (2014). Texting everywhere for everything: Gender and age differences in cell phone etiquette and use. Computers in Human Behavior, 31, 314–321. https://doi.org/10.1016/j.chb.2013.10.053.CrossRef

Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18, 39–50. https://doi.org/10.1177/002224378101800104.CrossRef

Hair, J. F., Ringle, C. M., & Sarstedt, M. (2011). PLS-SEM: indeed a silver bullet. Journal of Marketing Theory and Practice, 19, 139–152. https://doi.org/10.2753/MTP1069-6679190202.CrossRef

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, 316–331. https://doi.org/10.1177/1461444811415047.CrossRef

Hawkley, L. C., & Cacioppo, J. T. (2010). Loneliness matters: a theoretical and empirical review of consequences and mechanisms. Annals of Behavioral Medicine, 40, 218–227. https://doi.org/10.1007/s12160-010-9210-8.CrossRefPubMed

Hendrick, S. S. (1988). A generic measure of relationship satisfaction. Journal of Marriage and the Family, 50, 93–98. https://doi.org/10.2307/352430.CrossRef

Hu, L., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: conventional criteria versus new alternatives. Structural Equation Modeling, 6, 1–55. https://doi.org/10.1080/10705519909540118.CrossRef

Hughes, M. E., Waite, L. J., Hawkley, L. C., & Cacioppo, J. T. (2004). A short scale for measuring loneliness in large surveys. Research on Aging, 26, 655–672. https://doi.org/10.1177/0164027504268574.CrossRefPubMedPubMedCentral

Karadağ, E., Tosuntaş, Ş. B., Erzen, E., Duru, P., Bostan, N., Şahin, B. M., & Babadağ, B. (2015). Determinants of phubbing, which is the sum of many virtual addictions: a structural equation model. Journal of Behavioral Addictions, 4, 60–74. https://doi.org/10.1556/2006.4.2015.005.CrossRefPubMedPubMedCentral

Katz, E., Blumler, J. G., & Gurevitch, M. (1974). Utilization of communication by the individual. In J. G. Blumler & E. Katz (Eds), The uses of mass communications: current perspectives on gratifications research (pp. 19–32). Beverly Hills, CA: Sage.

Kononova, A., & Chiang, Y.-H. (2015). Why do we multitask with media? Predictors of media multitasking among Internet users in the United States and Taiwan. Computers in Human Behavior, 50, 31–41. https://doi.org/10.1016/j.chb.2015.03.052.CrossRef

Lapierre, M. A., & Lewis, M. (2018). Should it stay or should it go now? Smartphones and relational health. Psychology of Popular Media Culture, 7, 384–398. https://doi.org/10.1037/ppm0000119.CrossRef

Ling, R. (2010). Texting as a life phase medium. Journal of Computer-Mediated Communication, 15, 277–292. https://doi.org/10.1111/j.1083-6101.2010.01520.x.CrossRef

Little, T. D., Jorgensen, T. D., Lang, K. M., & Moore, E. W. (2014). On the joys of missing data. Journal of Pediatric Psychology, 39, 151–162. https://doi.org/10.1093/jpepsy/jst048.CrossRefPubMed

Liu, D., Baumeister, R. F., Yang, C. C., & Hu, B. (2019). Digital communication media use and psychological well-being: a meta-analysis. Journal of Computer-Mediated Communication, 24, 259–273. https://doi.org/10.1093/jcmc/zmz013.CrossRef

McDaniel, B. T., & Coyne, S. M. (2016). “Technoference”: the interference of technology in couple relationships and implications for women’s personal and relational well-being. Psychology of Popular Media Culture, 5, 85–98. https://doi.org/10.1037/ppm0000065.CrossRef

McDaniel, B. T., & Drouin, M. (2019). Daily technology interruptions and emotional and relational well-being. Computers in Human Behavior, 99, 1–8. https://doi.org/10.1016/j.chb.2019.04.027.CrossRef

McDaniel, B. T., Galovan, A. M., Cravens, J. D., & Drouin, M. (2018). “Technoference” and implications for mothers’ and fathers’ couple and coparenting relationship quality. Computers in Human Behavior, 80, 303–313. https://doi.org/10.1016/j.chb.2017.11.019.CrossRefPubMed

Misra, S., Cheng, L., Genevie, J., & Yuan, M. (2016). The iPhone effect: the quality of in-person social interactions in the presence of mobile devices. Environment and Behavior, 48, 275–298. https://doi.org/10.1177/0013916514539755.CrossRef

Morry, M. M. (2005). Allocentrism and friendship satisfaction: the mediating roles of disclosure and closeness. Canadian Journal of Behavioural Science/Revue canadienne des sciences du comportement, 37, 211–222. https://doi.org/10.1037/h0087258.CrossRef

Nesi, J., Choukas-Bradley, S., & Prinstein, M. J. (2018). Transformation of adolescent peer relations in the social media context: Part 1—a theoretical framework and application to dyadic peer relationships. Clinical Child and Family Psychology Review, 21, 267–294. https://doi.org/10.1007/s10567-018-0261-x.CrossRefPubMedPubMedCentral

Pea, R., Nass, C., Meheula, L., Rance, M., Kumar, A., Bamford, H., & Zhou, M. (2012). Media use, face-to-face communication, media multitasking, and social well-being among 8- to 12-year-old girls. Developmental Psychology, 48, 327–336. https://doi.org/10.1037/a0027030.CrossRefPubMed

Pew Research Center. (2019). Mobile fact sheet. https://www.pewinternet.org/fact-sheet/mobile/

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, 237–246. https://doi.org/10.1177/0265407512453827.CrossRef

Roberts, J. A., & David, M. E. (2016). My life has become a major distraction from my cell phone: partner phubbing and relationship satisfaction among romantic partners. Computers in Human Behavior, 54, 134–141. https://doi.org/10.1016/j.chb.2015.07.058.CrossRef

Saldaña, J. (2009). The coding manual for qualitative researchers. Thousand Oaks, CA: SAGE.

Sheldon, P., & Bryant, K. (2016). Instagram: motives for its use and relationship to narcissism and contextual age. Computers in Human Behavior, 58, 89–97. https://doi.org/10.1016/j.chb.2015.12.059.CrossRef

Shih, S. (2013). A null relationship between media multitasking and well-being. PLoS ONE, 8 https://doi.org/10.1371/journal.pone.0064508 CrossRef

Stieger, S., & Lewetz, D. (2018). A week without using social media: results from an ecological momentary intervention study using smartphones. Cyberpsychology, Behavior, and Social Networking, 21, 618–624. https://doi.org/10.1089/cyber.2018.0070.CrossRef

Sumner, E. M., & Ramirez, A. (2019). The effects of multimodal communication frequency, geographic distance, and coresidence on parent-child relationship quality during emerging adulthood. Communication Research Reports, 36, 114–125. https://doi.org/10.1080/08824096.2019.1583552.CrossRef

Thomas, L., Orme, E., Kerrigan, F. (2020). Student loneliness: the role of social media through life transitions. Computers & Education. https://doi.org/10.1016/j.compedu.2019.103754.CrossRef

Turkle, S. (2015). Reclaiming conversation: the power of talk in a digital age. New York; NY: Penguin Press.

van der Schuur, W. A., Baumgartner, S. E., Sumter, S. R., & Valkenburg, P. M. (2015). Literature review: 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.CrossRef

Twenge, J. M., Martin, G. N., & Campbell, W. K. (2018). Decreases in psychological well-being among American adolescents after 2012 and links to screen time during the rise of smartphone technology. Emotion, 18, 765–780. https://doi.org/10.1037/emo0000403.CrossRefPubMed

Vanden Abeele, M. M. P., Antheunis, M. L., & Schouten, A. P. (2016). The effect of mobile messaging during a conversation on impression formation and interaction quality. Computers in Human Behavior, 62, 562–569. https://doi.org/10.1016/j.chb.2016.04.005.CrossRef

Walsh, R. M., Forest, A. L., & Orehek, E. (2020). Self-disclosure on social media: the role of perceived network responsiveness. Computers in Human Behavior. https://doi.org/10.1016/j.chb.2019.106162. Advance online publication.CrossRef

Wang, X., Xie, X., Wang, Y., Wang, P., & Lei, L. (2017). Partner phubbing and depression among married Chinese adults: the roles of relationship satisfaction and relationship length. Personality and Individual Differences, 110, 12–17. https://doi.org/10.1016/j.paid.2017.01.014.CrossRef

Wang, X., Zhao, F., Lei, L. (2019). Partner phubbing and relationship satisfaction: self-esteem and marital status as moderators. Current Psychology. https://doi.org/10.1007/s12144-019-00275-0.

Weinstein, E. (2018). The social media see-saw: positive and negative influences on adolescents’ affective well-being. New Media & Society, 20, 3597–3623. https://doi.org/10.1177/1461444818755634.CrossRef

Xu, S., Wang, Z. J., & David, P. (2016). Media multitasking and well-being of university students. Computers in Human Behavior, 55, 242–250. https://doi.org/10.1016/j.chb.2015.08.040.CrossRef

Yan, Z. (2018). Child and adolescent use of mobile phones: an unparalleled complex developmental phenomenon. Child Development, 89, 5–16. https://doi.org/10.1111/cdev.12821.CrossRefPubMed

Yang, C.-c (2018). Social media as more than a peer space: college freshmen encountering parents on Facebook. Journal of Adolescent Research, 33, 442–469. https://doi.org/10.1177/0743558416659750.CrossRef

Yang, C.-c (2020). Similar patterns, different implications: first-generation and continuing college students’ social media use and its association with college social adjustment. Journal of College Student Retention: Research, Theory & Practice. https://doi.org/10.1177/1521025120902755. Advance online publication.CrossRef

Yang, C.-c, & Brown, B. B. (2016). Online self-presentation on Facebook and self development during the college transition. Journal of Youth and Adolescence, 45, 402–416. https://doi.org/10.1007/s10964-015-0385-y.CrossRefPubMed

Yang, C.-c, Brown, B. B., & Braun, M. T. (2014). From Facebook to cell calls: layers of electronic intimacy in college students’ interpersonal relationships. New Media & Society, 16, 5–23. https://doi.org/10.1177/1461444812472486.CrossRef

Yang, C.-c, Holden, S. M., & Carter, M. D. K. (2018). Social media social comparison of ability (but not opinion) predicts lower identity clarity: identity processing style as a mediator. Journal of Youth and Adolescence, 47, 2114–2128. https://doi.org/10.1007/s10964-017-0801-6.CrossRefPubMed

Yang, C.-c, & Lee, Y. (2020). Interactants and activities on Facebook, Instagram, and Twitter: associations between social media use and social adjustment to college. Applied Developmental Science, 24, 62–78. https://doi.org/10.1080/10888691.2018.1440233.CrossRef

Titel: On the Phone When We’re Hanging Out: Digital Social Multitasking (DSMT) and Its Socioemotional Implications
Auteurs: Chia-chen Yang
Kaia Christofferson
Publicatiedatum: 08-04-2020
Uitgeverij: Springer US
Gepubliceerd in: Journal of Youth and Adolescence / Uitgave 6/2020
Print ISSN: 0047-2891
Elektronisch ISSN: 1573-6601
DOI: https://doi.org/10.1007/s10964-020-01230-0

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