Abstract
Over the last few years, it has been observed that new digital technologies are gaining acceptance among the over-60s, who are increasingly catching up in terms of the use of smartphones, tablets and notebooks. Particularly the so-called instant messaging apps that are used for everyday communication between family and friends are prevalent. Specific data on the effect of smartphone use in later life, particularly for social interaction via instant messaging, are scarce. Especially with respect to a differentiated and situational in-situ assessments and the inclusion of affective components of well-being outcomes, such as situational mood. In scientific discourse, instant messaging apps are often ascribed the role of stressors that can have a negative impact on well-being. Still, there are no studies examining this for smartphone use in later life. First, findings show that smartphone use as well as instant messaging use in later life not only varies between individuals, but also shows very large intraindividual differences. Second, multilevel analyses show that there is a negative effect of instant messaging on the extent of situational tension, independently of how the social situation was evaluated. These results indicate that the relationship between ICT use and subjective well-being should be considered more situationally and domain-specifically in further research.
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References
Andree, M., Thomsen, T.: Atlas der digitalen Welt (2020)
Bano, S., Cisheng, W., Khan, A.N., Khan, N.: WhatsApp use and student’s psychological well-being: role of social capital and social integration. Child Youth Serv. Rev. 103, 200–208 (2019)
Bernstein, M.J., Zawadzki, M.J., Juth, V., Benfield, J.A., Smyth, J.M.: Social interactions in daily life. J. Soc. Pers. Relat. 35(3), 372–394 (2018)
Bates, D., Mächler, M., Bolker, B., Walker, S.: Fitting linear mixed-effects models using lme4. J. Stat. Softw. 67(1), 1–48 (2015)
Blabst, N., Diefenbach, S.: WhatsApp and wellbeing: a study on WhatsApp usage, communication quality and stress. In: Proceedings of the 31st International BCS Human Computer Interaction Conference, England (2017)
Elliot, A.J., Mooney, C.J., Douthit, K.Z., Lynch, M.F.: Predictors of older adults’ technology use and its relationship to depressive symptoms and well-being. J. Gerontol. Ser. B Psychol. Sci. Soci. Sci. 69(5), 667–677 (2014)
European Commission. Statistical office of the European Union. Ageing Europe: Looking at the lives of older people in the EU: 2020 edition. Publications Office (2020)
Fernández-Ardèvol, M., et al.: Methodological strategies to understand smartphone practices for social connectedness in later life. In: Zhou, J., Salvendy, G. (eds.) HCII 2019. LNCS, vol. 11593, pp. 46–64. Springer, Cham (2019). https://doi.org/10.1007/978-3-030-22015-0_4
Huang, C.: Internet use and psychological well-being: a meta-analysis. Cyberpsychol. Behav. Soc. Netw. 13(3), 241–249 (2010)
Moors, A.: Appraisal theory of emotion. In: Zeigler-Hill, V., Shackelford, T.K. (eds.) Encyclopedia of Personality and Individual Differences, pp. 1–9. Springer, Heidelberg (2017). https://doi.org/10.1007/978-3-319-28099-8_493-1
movisens GmbH. Experience sampling—MovisensXS. https://www.movisens.com/en/products/movisensxs/. Accessed 15 Jan 2021
Mund, M., et al.: Loneliness is associated with the subjective evaluation of but not daily dynamics in partner relationships. Int. J. Behav. Dev. (2020). https://doi.org/10.1177/0165025420951246
Nelson Kakulla, B.: 2020 Tech Trends of the 50+. AARP Research, Washington DC (2020)
O’Hara, K.P., Massimi, M., Harper, R., Rubens, S., Morris, J.: Everyday dwelling with WhatsApp. In: Proceedings of the 17th ACM Conference on Computer Supported Cooperative Work and Social Computing, pp. 1131–1143 (2014)
Ong, A.D., Zautra, A.J.: Intraindividual variability in mood and mood regulation in adulthood. In: Diehl, M., Hooker, K., Sliwinski, M.J. (eds.), Handbook of Intraindividual Variability Across the Life Span, pp. 198–215. Routledge/Taylor and Francis Group (2015)
R Core Team: R: A Language and Environment for Statistical Computing. R Foundation for Statistical Computing (2020). https://www.R-project.org/
Revelle, W.: Psych: procedures for psychological, psychometric, and personality research. Northwestern University (2020). https://CRAN.R-project.org/package=psych
Rook, K.S.: Social networks in later life: weighing positive and negative effects on health and well-being. Curr. Dir. Psychol. Sci. 24(1), 45–51 (2015)
Rook, K.S., Charles, S.T.: Close social ties and health in later life: strengths and vulnerabilities. Am. Psychol. 72(6), 567–577 (2017)
Scrutton, J., Creighton, H.: The links between social connections and wellbeing in later life. ILC report (2015)
Seifert, A., Harari, G.M.: Mobile data collection with smartphones. In: Gu, D., Dupre, M.E. (eds.) Encyclopedia of Gerontology and Population Aging, pp. 1–3. Springer, Heidelberg (2019)
Shankar, A., Rafnsson, S.B., Steptoe, A.: Longitudinal associations between social connections and subjective wellbeing in the english longitudinal study of ageing. Psychol. Health 30(6), 686–698 (2015)
Shaw, H., Ellis, D.A., Geyer, K., Davidson, B.I., Ziegler, F.V., Smith, A.: Quantifying smartphone “use”: choice of measurement impacts relationships between “usage” and health. Technol. Mind Behav. 1(2), 15 (2020)
Shin, I., Seok, J., Lim, Y.: Too close and crowded: understanding stress on mobile instant messengers based on proxemics. In: Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems, pp. 1–12 (2018)
Shrout, P.E., Lane, S.P.: Psychometrics. In: Mehl, M.R., Conner, T.S. (eds.) Handbook of Research Methods for Studying Daily Life, pp. 302–320. Guilford Press (2012)
Taipale, S., Farinosi, M.: The big meaning of small messages: the use of WhatsApp in intergenerational family communication. In: Zhou, J., Salvendy, G. (eds.) ITAP 2018. LNCS, vol. 10926, pp. 532–546. Springer, Cham (2018). https://doi.org/10.1007/978-3-319-92034-4_40
Thayer, R.E.: The Biopsychology of Mood and Activation. Oxford University Press, New York (1989)
Tsai, H.S., Hsu, P.-J., Chang, C.-L., Huang, C.-C., Ho, H.-F., LaRose, R.: High tension lines: negative social exchange and psychological well-being in the context of instant messaging. Comput. Hum. Behav. 93, 326–332 (2019)
Vahedi, Z., Saiphoo, A.: The association between smartphone use, stress, and anxiety: a meta-analytic review. Stress Health 34(3), 347–358 (2018)
VuMA (Arbeitsgemeinschaft Verbrauchs- und Medienanalyse): Anteil der Smartphone-Nutzer in Deutschland nach Altersgruppe im Jahr 2019 [Graph]. https://de.statista.com/statistik/daten/studie/459963/umfrage/anteil-der-smartphone-nutzer-in-deutschland-nach-altersgruppe. Accessed 15 Jan 2021
Wilhelm, P., Schoebi, D.: Assessing mood in daily life. Eur. J. Psychol. Assess. 23(4), 258–267 (2007)
Wilson, C.: Is it love or loneliness? Exploring the impact of everyday digital technology use on the wellbeing of older adults. Ageing Soc. 19, 1–25 (2017)
Zaccaria, D., et al.: Assessing the impact of social networking site use on older people’s loneliness and social isolation. A randomized controlled trial: the aging in a networked society-social experiment study (ANS-SE). Contemp. Clin. Trials Commun. 19, 100615 (2020)
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Wolf, F., Naumann, J., Oswald, F. (2021). Digital Social Interactions in Later Life: Effects of Instant Messaging on Situational Mood of Older Smartphone Users. In: Gao, Q., Zhou, J. (eds) Human Aspects of IT for the Aged Population. Technology Design and Acceptance. HCII 2021. Lecture Notes in Computer Science(), vol 12786. Springer, Cham. https://doi.org/10.1007/978-3-030-78108-8_33
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