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Latent Profile Analysis of Generation Z and Millennials by Their Smartphone Usage Pattern

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HCI International 2020 - Posters (HCII 2020)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1226))

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Abstract

This study aims to classify Generation Z and Millennials according to their smartphone usage patterns and provide insights into the digital generation. We developed a scale to measure the patterns of smartphone usage following an extensive literature review and classified the smartphone usage pattern of Generation Z and Millennials using a latent profile analysis. Differences among groups according to socio-economic characteristics and smartphone related issues were analyzed. The indicators of the pattern of smartphone usage composed of the degree of involvement in actively producing information, passive searching of information, bonding and linking social connections, enjoying entertainment, and playing digital skills. Latent profile analysis produced five distinctive groups according to the degree of involvement in these activities. From this study, it is evident that the digital generations differ in their pattern of smartphone usage. This study provides practical implications for smartphone industry professionals and those interested in the younger generation’s digital transformation.

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References

  1. Kim, N.I., Lee, S.B.: The effect of public lifestyle on motivation and behavior using social media. Korean J. Advert. Publ. Relat. 13(2), 306–341 (2011)

    Google Scholar 

  2. Kim, E., Jeong, I., Bae, Y.: Interaction on the Internet and social trust on differing effects of limited or open interactions. Korean J. Broadcast. Telecommun. 26(5), 44–77 (2012)

    Google Scholar 

  3. Kim, Y.: The effect of the need for cognition and self-esteem on SNS usage of senior consumers. Int. Telecommun. Policy Rev. 26(1), 81–112 (2019)

    Google Scholar 

  4. Lim, I.T., Lee, S.M.: The influence of smart-phone literacy in elementary school students’ mothers upon children’s smart-phone overuse. Korean J. Child Educ. 24(1), 285–302 (2015)

    Google Scholar 

  5. Wang, Y., Fesenmaier, D.R.: Towards understanding members’ general participation in and active contribution to an online travel community. Tourism Manag. 25(6), 709–722 (2004)

    Article  Google Scholar 

  6. Akaike, H.: A new look at the statistical model identification. IEEE Trans. Autom. Control 19(6), 716–723 (1974)

    Article  MathSciNet  Google Scholar 

  7. Schwarz, G.: Estimating the dimension of a model. Ann. Stat. 6(2), 461–464 (1978)

    Article  MathSciNet  Google Scholar 

  8. No, U., Lee, E., Lee, H., Hong, S.: Classification of student`s school violence during middle school: applying multilevel latent profile models to test individual and school effects. Surv. Res. 18(2), 67–98 (2017)

    Article  Google Scholar 

  9. McLachlan, G.J., Peel, D.: Finite Mixture Models. Wiley, New York (2000)

    Book  Google Scholar 

  10. Ramaswamy, V., DeSarbo, W.S., Reibstein, D.J., Robinson, W.T.: An empirical pooling approach for estimating marketing mix elasticities with PIMS data. Mark. Sci. 12(1), 103–124 (1993)

    Article  Google Scholar 

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Correspondence to Kee Ok Kim .

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Yang, Y.J., Hwang, H., Xiang, M., Kim, K.O. (2020). Latent Profile Analysis of Generation Z and Millennials by Their Smartphone Usage Pattern. In: Stephanidis, C., Antona, M. (eds) HCI International 2020 - Posters. HCII 2020. Communications in Computer and Information Science, vol 1226. Springer, Cham. https://doi.org/10.1007/978-3-030-50732-9_34

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  • DOI: https://doi.org/10.1007/978-3-030-50732-9_34

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-50731-2

  • Online ISBN: 978-3-030-50732-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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