La Expectativa Social Incrementa la Respuesta Electrodérmica en Usuarios de Mensajería Instantánea Móvil

  1. Ana María Ruiz-Ruano García 1
  2. Ana Sánchez-Kuhn 2
  3. Pilar Flores 2
  4. Jorge López Puga 1
  1. 1 Universidad de Granada
    info

    Universidad de Granada

    Granada, España

    ROR https://ror.org/04njjy449

  2. 2 Universidad de Almería
    info

    Universidad de Almería

    Almería, España

    ROR https://ror.org/003d3xx08

Journal:
Psicothema

ISSN: 0214-9915 1886-144X

Year of publication: 2023

Volume: 35

Issue: 4

Pages: 414-422

Type: Article

More publications in: Psicothema

Abstract

Society is witnessing two parallel phenomena: an increase in the number of mobile phone users worldwide and a growing concern about problematic smartphone use. Leading explanatory models suggest that social reward may explain some problematic smartphone use. Given that experimental evidence about the impact of social variables on problematic smartphone use is scarce, the impact of social expectancy on emotional arousal measured with skin conductance response (SCR) was analysed during instant messaging. Method: A sample of 86 undergraduate students were randomly assigned to two groups. Experimental group participants were instructed to send a social expectation-generating message to their more active contacts in their preferred social network. After experiencing a virtual reality distraction environment, participants’ SCR was measured when they were allowed to use the smartphone and when it was withdrawn. Results: Participants in the experimental group showed a higher SCR response than the control group. Peaks analysis also showed that peak amplitude was higher in experimental participants when their smartphones were used and withdrawn. Experimental participants also showed a longer half recovery time when using the smartphone. Conclusions: Social expectancy is a critical variable in understanding problematic smartphone use and it should be considered in clinical contexts.

Bibliographic References

  • Abrams, Z. (2022, February 3). Why young brains are especially vulnerable to social media. https://www.apa.org/news/apa/2022/social-mediachildren-teens
  • American Psychiatric Association. (2000). Diagnostic and Statistical Manual of Mental Disorders (DSM-IV-TR). Masson.
  • American Psychological Association. (2017). Ethical principles of psychologists and code of conduct (2002, amended effective June 1, 2010, and January 1, 2017). https://www.apa.org/ethics/code/
  • Bernal-Ruiz, C., Rosa-Alcázar, A., & Rosa-Alcázar, A. I. (2021). Problematic Internet use and negative impact of WhatsApp: Negative emotions as a risk factor. Behavioral Psychology, 29(2), 297-311. https://doi.org/10.51668/bp.8321205s
  • Billieux, J. (2012). Problematic use of the mobile phone: A literature review and a pathways model. Current Psychiatry Reviews, 8(4), 299-307. https://doi.org/10.2174/157340012803520522
  • Bond, F. W., Hayes, S. C., Baer, R. A., Carpenter, K. M., Guenole, N., Orcutt, H. K., Waltz, T., & Zettle, R. D. (2011). Preliminary psychometric properties of the acceptance and action questionnaire-II: A revised measure of psychological inflexibility and experiential avoidance. Behaviour Therapy, 42(4), 676-688. https://doi.org/10.1016/j.beth.2011.03.007
  • Braithwaite, J. J., & Watson, D. G. (2015). Issues surrounding the normalization and standardisation of skin conductance responses (SCRs) (Technical Research Note). Selective Attention & Awareness Laboratory (SAAL), Behavioural Brain Sciences Centre, School of Psychology, University of Birmingham.
  • Camerini, A. L., Marciano, L., Annoni, A. M., Ort, A., & Petrocchi, S. (2022). Exploring the emotional experience during instant messagind among young adults: An experimental study incorporating physiological correlates of arousal. Frontiers in Psychology, 13, Article 840845. https://doi.org/10.3389/fpsyg.2022.840845
  • Carbonell, X., Fúster, H., Chamarro, A., & Oberst, U. (2012). Adicción a internet y móvil: una revisión de estudios empíricos españoles [Internet and mobile addiction: A review of Spanish empirical studies]. Papeles del Psicólogo, 33(2), 82-89.
  • Clayton, R. B., Leshner, G., & Almond, A. (2015). The extended iSelf: The impact of iPhone separation on cognition, emotion, and physiology. Journal of Computer-Mediated Communication, 20(2), 119-135. https://doi.org/10.1111/jcc4.12109
  • Climent, G., Rodríguez, C., Trinidad García, D. A., Mejías, M., Aierbe, A., Moreno, M., Cueto, E., Castellá, J., & González, M. F. (2019). New virtual reality tool (Nesplora Aquarium) for assessing attention and working memory in adults: A normative study. Applied Neuropsychology: Adult, 28(4), 403-415. https://doi.org/10.1080/23279095.2019.1646745
  • De-Sola, J., Rodríguez, F., & Rubio, G. (2016). Cell-phone addiction: A review. Frontiers in Psychiatry, 7, Article 175. https://doi.org/10.3389/fpsyt.2016.00175
  • Dolev-Cohen, M., & Barak, A. (2013). Adolescents’ use of instant messaging as a means of emotional relief. Computers in Human Behavior, 29(1), 58-63. https://doi.org/10.1016/j.chb.2012.07.016
  • García-Oliva, C., & Piqueras, J. A. (2016). Experiential avoidance and technological addictions in adolescents. Journal of Behavioral Addictions, 5(2), 293-303. https://doi.org/10.1556/2006.5.2016.041
  • González-Nuevo, C., Cuesta, M., Postigo, A., Menéndez-Aller, A., García-Fernández, J., & Kuss, D. J. (2022). Using social networking sites during lockdown: Risks and benefits. Psicothema, 34(3), 265-374. https://doi.org/10.7334/psicothema2022.51
  • Griffiths, M. (2005). A ‘components’ model of addiction within a biopsychosocial framework. Journal of Substance Use, 10(4), 191-197. https://doi.org/10.1080/14659890500114359
  • Grover, K., Pecor, K., Malkowski, M., Kang, L., Machado, S., Lulla, R., Heisey, D., & Ming, X. (2016). Effects of instant messaging on school performance in adolescents. Journal of Child Neurology, 31(7), 850-857. https://doi.org/10.1177/0883073815624758
  • Hsieh, H.-F., Hsu, H.-T., Lin, P.-C., Yang, Y.-J., Huang, Y.-T., Ko, C.-H., & Hsiu-Hung, W. (2020). The effect of age, gender, and job on skin conductance response among smartphone users who are prohibited from using their smartphone. International Journal of Environmental Research and Public Health, 17(7), 2313. https://doi.org/10.3390/ijerph17072313
  • 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
  • Jeffreys, H. (1948). Theory of probability (2nd ed.). Oxford University Press.
  • Jeon, M., & De Boeck, P. (2017). Decision qualities of Bayes Factor and p value-based hypothesis testing. Psychological Methods, 22(2), 340-360. https://doi.org/10.1037/met0000140
  • Khalily, M. T., Bhatti, M. M., Ahmad, I., Saleem, T., Hallahan, B., Ali, S. A.-e-Z., Khan, A. A., & Hussain, B. (2021). Indigenously adapted cognitive–behavioral therapy for excessive smartphone use (IACBTESU): A randomized controlled trial. Psychology of Addictive Behaviors, 35(1), 93–101. https://doi.org/10.1037/adb0000677
  • Körmendi, A., Brutóczki, Z., Végh, B. P., & Székely, R. (2016). Smartphone use can be addictive? A case report. Journal of Behavioral Addictions, 5(3), 548-552. https://doi.org/10.1556/2006.5.2016.033
  • Kruschke, J. K. (2021). Bayesian analysis reporting guidelines. Nature Human Behaviour, 5, 1282-1291. https://doi.org/10.1038/s41562-021-01177-7
  • Kwon, M., Kim, D. J., Cho, H., & Yang, S. (2013). The smartphone addiction scale: Development and validation of a short version for adolescents. Plos One, 8, Article e83558. https://doi.org/10.1371/journal.pone.0083558
  • Lin, I., & Peper, E. (2009). Psychophysiological patterns during cell phone text messaging: A preliminary study. Applied Psychophysiology and Biofeedback, 34(1), 53-57. https://doi.org/10.1007/s10484-009-9078-1
  • López-Fernández, O. (2015). Short version of the smartphone addiction scale adapted to Spanish and French: Towards a cross-cultural research in problematic mobile phone use. Addictive Behaviors, 64, 275-280. https://doi.org/10.1016/j.addbeh.2015.11.013.
  • Machado Khoury, J., Codorino Couto, L. F. S., de Almeida Santos, D., de Oliveira e Silva, V. H., Sousa Drumond, J. P., Lopes de Carvalho e Silva, L., Malloy-Diniz, L., Rodrigues Albuquerque, M., de Castro Lourenço das Neves, M., & Duarte Garcia, F. (2019). Bad choices make good stories: The impaired decision-making process and skin conductance response in subjects with smartphone addiction. Frontiers in Psychiatry, 10, Article 73. https://doi.org/10.3389/fpsyt.2019.00073
  • Marciano, L., & Camerini, A. L. (2022). Duration, frequency, and time distortion: Which is the best predictor of problematic smartphone use in adolescents? A trace data study. Plos One, 17(2), Article e0263815. https://doi.org/10.1371/journal.pone.0263815
  • Marciano, L., Driver, C. C., Schulz, P. J., & Camerini, A. L. (2022). Dynamics of adolescents’ smartphone use and well-being are positive but ephemeral. Scientific Reports, 12, Article 1316. https://doi.org/10.1038/s41598-022-05291-y
  • Montero, P., & Vilar, J. A. (2014). TSclust: An R package for time series clustering. Journal of Statistical Software, 62(1), 1-43. https://doi.org/10.18637/jss.v062.i01
  • Mori, U., Mendiburu, A., & Lozano, J. A. (2016). Distance measures for time series in R: The TSdist package. The R Journal, 8(2), 454-459. https://doi.org/10.32614/RJ-2016-058
  • Odgers, C. (2018, February 22). Smartphone are bad for some teens, not all. Nature, 554, 432-434. https://doi.org/10.1038/d41586-018-02109-8
  • Olson, J. A., Sandra, D. A., Chmoulevitch, D., Raz, A., & Veissière, S. P. L. (2022). A nudge-based intervention to reduce problematic smartphone use: Randomised controlled trial. International Journal of Mental Health and Addiction. https://doi.org/10.1007/s11469-022-00826-w
  • 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
  • Pastor, Y., García-Jiménez, A., & López-de-Ayala, M. C. (2022). Regulatory strategies for smartphone use and problematic Internet use in adolescence. Anales de Psicología, 38(2), 269-277. https://doi.org/10.6018/analesps.461771
  • Pedrero-Pérez, E. J., Ruiz-Sánchez de León, J. M., Rojo-Mota, G., Llanero-Luque, M., Pedrero-Aguilar, J., Morales-Alonso, S., & Puerta-García, C. (2018). Information and communications technologies (ICT): Problematic use of Internet, video games, mobile phones, instant messaging and social networks using MULTICAGE-TIC. Adicciones, 30(1), 19-32. https://doi.org/10.20882/adicciones.806
  • Roberts, M. Z., Flagg, A. M., & Lin, B. (2022). Context matters: How smartphone (mis)use may disrupt early emotion regulation development. New Ideas in Psychology, 64, Article 100919. https://doi.org/10.1016/j.newideapsych.2021.100919
  • Roberts, M. Z., Tifft, E. D., Underwood, S. B., & Forsyth, J. P. (2022). The relative importance of transdiagnostic factors associated with problematic smartphone use. Journal of Contextual Behavioral Science, 26, 181–186. https://doi.org/10.1016/j.jcbs.2022.10.002
  • Rosenbaum, M. S., & Wong, I. A. (2012). The effect of instant messaging services on society’s mental health. Journal of Services Marketing, 26(2), 124-136. https://doi.org/10.1108/08876041211215284
  • Ruiz, F. J., Langer, A. I., Luciano, C., Cangas, A. J., & Beltrán, I. (2013). Measuring experiential avoidance and psychological inflexibility: The Spanish version of the acceptance and action questionnaire – II. Psicothema, 25(1), 123-129. https://doi.org/10.7334/psicothema2011.239
  • Ruiz-Ruano, A. M., López-Salmerón, M. D., & Puga, J. L. (2020). Experiential avoidance and excessive smartphone use: A bayesian approach. Adicciones, 32(2), 116-127. https://doi.org/10.20882/adicciones.1151
  • Ruiz-Ruano, A. M., & Puga, J. L. (2018). Deciding on null hypotheses using p-values or bayesian alternatives: A simulation study. Psicothema, 30(1), 110-115. https://doi.org/10.7334/psicothema2017.308
  • Smith, A., & Williams, K. D. (2004). R u there? Ostracism by cell phone text messages. Group Dinamics: Theory, Research, and Practice, 8(4), 291-301. https://doi.org/10.1037/1089-2699.8.4.291
  • Squires, L. R., Hollett, K. B., Hesson, J., & Harris, N. (2021). Psychological distress, emotion dysregulation, and coping behaviour: A theoretical perspective of problematic smartphone use. International Journal of Mental Health and Addiction, 19, 1284-1299. https://doi.org/10.1007/s11469-020-00224-0
  • Suissa, A. J. (2015). Cyber addictions: Toward a psychosocial perspective. Addictive Behaviors, 43, 28-32. https://doi.org/10.1016/j.addbeh.2014.09.020
  • Sultan, A. J. (2014). Addiction to mobile text messaging applications is nothing to “lol” about. The Social Science Journal, 51(1), 57-69. https://doi.org/10.1016/j.soscij.2013.09.003
  • Thomson, K., Hunter, S. C., Butler, S. H., & Robertson, D. J. (2021). Social media ‘addiction’: The absence of an attentional bias to social media stimuli. Journal of Behavioral Addictions, 10(2), 302-313. https://doi.org/10.1556/2006.2021.00011
  • Tresáncoras, A. G., García-Oliva, C., & Piqueras, J. A. (2017). Relationship of the problematic use of whatsapp with personality and anxiety in adolescents. Health and Addictions, 17(1), 27-36.
  • Veissière, S. P. L., & Stendel, M. (2018). Hypernatural monitoring: A social rehearsal account of smartphone addiction. Frontiers in Psychology, 9, Article 141. https://doi.org/10.3389/fpsyg.2018.00141
  • Vila, J., & Guerra, P. (2009). Introducción a la psicofisiología clínica [Introduction to clinical psychophysiology]. Pirámide.
  • Wacks, Y., & Weinstein, A. M. (2021). Excessive smartphone use is associated with health problems in adolescents and young adults. Frontiers in Psychiatry, 12, Article 669042. https://doi.org/10.3389/fpsyt.2021.669042
  • Wang, C., Zhang, J., & Lee, M. K. O. (2021). Time flies when chatting online: A social structure and social learning model to understand excessive use of mobile instant messaging. Information, Technology & People. https://doi.org/10.1108/ITP-09-2020-0624
  • Weaver, W. (1949). The mathematics of communication. Scientific American, 181(1), 11-15.
  • World Medical Association. (2013). World Medical Association declaration of Helsinki ethical principles for medical research involving human subjects. The Journal of the American Medical Association, 310(20), 2191-2194. https://doi.org/10.1001/jama.2013.281053