Videogames use and time estimation: Are there differences based on gender?

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Verónica Cervigón Carrasco
Carlos García Montoliu
Rafael Ballester Arnal
Cristina Giménez García
Jesús Castro Calvo

Abstract

Time perception, and more specifically, the estimation of its duration could be altered in behavioral addictions. It is what would happen, for example, in gaming addiction. Among other factors, time estimation distortion could be due to the degree of enjoyment triggered by these contents. Most studies have focused almost exclusively on men, and women and the possible differential effect of gender on this phenomenon have been neglected. Thus, the purpose of the present study was to explore whether there are gender differences in time estimation during videogames exposure and enjoyment of these contents. For this aim, 193 people (54,4% women), whose age oscillates between 18 and 48 years, performed an experimental task consisting of videogames exposure in 4 conditions (60, 90, 120 and 150 seconds). Following to each exposure, participants tried to estimate its duration (in seconds) and reported the enjoyment experience with contents (between 0-10). Both genders overestimated the real duration of videogame exposure in all 4-time conditions. However, gender differences were observed for the 60-seconds condition (t= -1.10; p= .016) and for the mean estimation of all 4 conditions (t= - .741; p= .045); women, in all cases, tended to overestimate more the duration. Regarding enjoyment, men considered all contents more satisfactory, with significant differences for the 90 (t=5.56; p= .030), 120 (t=4.05; p=.037), and 150 seconds. (t=7.13; p=.039). Both men and women tended to overestimate time during videogames exposure, being this phenomenon more pronounced in women. Likewise, women also enjoyed the contents much less. This would explain why the risk ofaddiction islesscommon in women; they would perceivethat they havespent moretime gaming and would feel less attraction to its content.

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How to Cite
Cervigón Carrasco, V., García Montoliu, C., Ballester Arnal, R., Giménez García, C., & Castro Calvo, J. (2022). Videogames use and time estimation: Are there differences based on gender? . International Journal of Developmental and Educational Psychology. Revista INFAD De Psicología., 1(1), 399–406. https://doi.org/10.17060/ijodaep.2022.n1.v1.2396
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Articles
Author Biographies

Verónica Cervigón Carrasco, Dpto. de Psicología Básica, Clínica y Psicobiología Universitat Jaume I de Castellón

Dpto. de Psicología Básica, Clínica y Psicobiología
Universitat Jaume I de Castellón

Carlos García Montoliu, Dpto. de Psicología Básica, Clínica y Psicobiología Universitat Jaume I de Castellón

Dpto. de Psicología Básica, Clínica y Psicobiología
Universitat Jaume I de Castellón

Rafael Ballester Arnal, Dpto. de Psicología Básica, Clínica y Psicobiología Universitat Jaume I de Castellón

Dpto. de Psicología Básica, Clínica y Psicobiología
Universitat Jaume I de Castellón

Cristina Giménez García, Dpto. de Psicología Básica, Clínica y Psicobiología Universitat Jaume I de Castellón

Dpto. de Psicología Básica, Clínica y Psicobiología
Universitat Jaume I de Castellón

Jesús Castro Calvo, Dpto. de Personalidad, Evaluación y Tratamientos Psicológicos Universitat de València

Dpto. de Personalidad, Evaluación y Tratamientos Psicológicos
Universitat de València

References

Allman, M. J., Teki, S., Griffiths, T. D., & Meck, W. H. (2014). Properties of the Internal Clock: First- and SecondOrder Principles of Subjective Time. Annual Review of Psychology, 65, 743-771. https://doi.org/10.1146/annurev-psych-010213-115117

Asociación Española de Videojuegos, AEVI (2020). La industria del Videojuegos en España. Anuario 2020. Recuperado de: http://www.aevi.org.es/web/wp-content/uploads/2021/04/AEVI_Anuario_2020.pdf

Barr, M. & Copeland-Stewart, A. (2022). Playing Video Games During the COVID-19 Pandemic and Effects on Players Well-Being. Games and Culture, 17(1), 122-139. https://doi.org/10.1177%2F15554120211017036

Billieux, J., Stein, D.J., Castro-Calvo, J., Higushi, S., & King, D. L. (2021). Rationale for and usefulness of the inclusion of gaming disorder in the ICD-11. World Psychiatry, 20 (2), 198-199. https://dx.doi.org/10.1002%2Fwps.20848

Block, R. A. & Gruber, R. P. (2014). Time perception, attention, and memory: A selective review. Acta Psychologica, 149, 129-133. https://doi.org/10.1016/j.actpsy.2013.11.003

Csíkszentmihályi, M. (1993). Theevolving self:a psychologyfor thethird millennium. New York: Harper Perennial

Gable, P. A. & Poole, B. D. (2012). Time flies when you’re having approach motivated fun: Effects of motivational intensity on time perception. Psychological Science, 23 (8), 879-886. https://doi.org/10.1177/0956797611435817

Gil, S. & Droit-Volet, S. (2012). Emotional time distortions: The fundamental role of arousal. Cognition and Emotion, 26(5), 847-862. https://doi.org/10.1080/02699931.2011.625401

Grondin, S. (2010). Timing and time perception: A review of recent behavioral and neuroscience findings and theoretical directions. Attention, Perception and Psychophysics, 72(3), 561-582. https://doi.org/10.3758/app.72.3.561

Hull, D. C., Williams, G. A., & Griffiths, M. D. (2013). Video game characteristics, happiness, and flow as predictors of addiction among video games players: A pilot study. Journal of Behavioral Addictions, 2(3), 145-152. https://doi.org/10.1556/jba.2.2013.005

Johnson, D., Gardner, J., & Sweetser, P. (2016). Motivations for videogame play: Predictors of time spent playing. Computers in Human Behavior, 63, 805-812. https://doi.org/10.1016/j.chb.2016.06.028

King, D L., Koster, E., & Billieux, J. (2019). Study what makes addictive. Nature, 573 (7774), 346. https://doi.org/10.1038/d41586-019-02776-1

López-Fernández, O., Williams, A. J., & Kuss, D. J. (2019). Measuring Female Gaming: Gamer Profile, Predictors, Prevalence and Characteristics from Psychological and Gender Perspectives. Frontiers in Psychology. https://doi.org/10.3389/fpsyg.2019.00898

Merino-Campos, C. & del Castillo-Fernández, H. (2016). The Benefits of Active Video Games for Educational and Physical Activity Approaches: A Systematic Review. New Approaches in Educational Research, 5(2), 115-122. https://doi.org/10.7821/naer.2016.7.164

Nakamura, J., & Csikszentmihalyi, M. (2014). The Concept of Flow. In Flow and the foundations of Positive Psychology (pp.239-263). Dordrecht: Springer. https://doi.org/10.1007/978-94-017-9088-8_16

Stevens, M. W. R., Dorstyn, D., Delfabbro, P. H., King, D. L. (2021). Global prevalence of gaming disorders: A systematic review and meta-analysis. Australian & New Zealand Journal of Psychiatry, 55(6), 553-568. https://doi.org/10.1177%2F0004867420962851

Torres-Rodríguez, A., Griffiths, M. D., Carbonell, X., Farriols-Hernando, N., & Torres-Jiménez, C. (2019). Internet Gaming Disorder treatment: A case study evaluation of four different types of adolescent problematic gamers. International Journal of Mental Health and Addiction, 17, 1-12. https://doi.org/10.1007/s11469-017-9845-9

Walsh, V. A. (2003). A theory of magnitude: common cortical metrics of time, space, and quantity. Trends in Cognitive Sciences, 7(11), 483-488. https://doi.org/10.1016/j.tics.2003.09.002

Wood, R. T. A., & Griffiths, M. D. (2007). Time Loss Whilst Playing Video Games: Is There a Relationship to Addictive Behaviors? International Journal of Mental Health and Addiction, 5, 141-149. https://doi.org/10.1007/s11469-006-9048-2

Wood, R. T. A., Griffiths, M. D., & Parke, A. (2007). Experiences of Time Loss among Videogame Players: An Empirical Study. CyberPsychology & Behavior, 10(1), 38-44. https://doi.org/10.1089/cpb.2006.9994

Wood, R. T. A., Gupta, R., Derevensky, J. L., & Griffiths, M. D. (2004). Video Game Playing and Gambling in Adolescents: Common Risk Factors. Journal of Child & Adolescent Substance Abuse, 14(1), 77-100. https://doi.org/10.1300/J029v14n01_05

Zakay, D. (2014). Psychological time as information: The case of boredom. Frontiers in Psychology, 5. https://doi.org/10.3389/fpsyg.2014.00917

Zakay, D., & Block R. A. (1995). An attentional-gate model of prospective time estimation. In M. Richelle, V. D. Keyser, G. D’Ydewalle, & A. Vandierendock (Eds.), Time and the dynamic control of behavior (pp.167-178). Liège, Belgium: U. Liège.