Abstract
Recently, mobile devices are now widely adopted in daily life. Several studies have examined the adoption of mobile devices in different context. However, previous research on the relationship between aging cohort and level of information in mobile devices is not consistent. Therefore, this study aims to investigate the usage behavior of mobile devices in users with different generations using information theory. Mobile applications were represented as a set of possible outcomes. The 95 datasets were collected using an online questionnaire and used to calculate the entropy values. The entropy values were compared within 4 generations including baby boomer, generation X, Y, and Z. The results indicated that baby boomer has the lowest level of information (1.58 bits) following by generation Z (2.48 bits), Y (2.69 bits), and X (3.11 bits), accordingly. The present study proved that self-evaluated questionnaire could be used for measuring the level of information in mobile devices.
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Snapdragon 835 Mobile Platform. https://www.qualcomm.com/products/snapdragon/processors/835
Smartphone Volumes Decline Slightly in the Second Quarter of 2017 Amid Anticipation of Strong Second Half Product Launches, According to IDC. https://www.idc.com/getdoc.jsp?containerId=prUS42935817
International Telecommunication Union STATISTICS. https://www.itu.int/en/ITU-D/Statistics/Pages/stat/default.aspx
Statista: Number of smartphone users worldwide from 2014 to 2020 (in billions). https://www.statista.com/statistics/330695/number-of-smartphone-users-worldwide/
Srisawatsakul, C., Quirchmayr, G., Papasratorn, B.: A pilot study on the effects of personality traits on the usage of mobile applications: a case study on office workers and tertiary students in the Bangkok area. In: Boonkrong, S., Unger, H., Meesad, P. (eds.) Recent Advances in Information and Communication Technology, pp. 145–155. Springer, Switzerland (2014)
Srisawatsakul, C., Papasratorn, B.: Factors affecting consumer acceptance mobile broadband services with add-on advertising: Thailand case study. Wirel. Pers. Commun. 69(3), 1055–1065 (2013)
Lane, W., Manner, C.: The influence of personality traits on mobile phone application preferences. J. Econ. Behav. Stud. 4(5), 252–260 (2012)
Shannon, C.E.: A mathematical theory of communication. Bell Syst. Tech. J. 27, 379–423 (1948)
Srisawatsakul, C.: Measuring information on mobile devices usage: an entropy-based approach. In: 2016 International Computer Science and Engineering Conference (ICSEC), pp. 1–6. IEEE, Chiang Mai (2016)
Cover, T.M., Thomas, J.A.: Entropy, relative entropy and mutual information. In: Elements of Information Theory. Wiley Inc., New York (1991). Chap. 2
Akaike, H.: Information theory and an extension of the maximum likelihood principle. In: Parzen, E., Tanabe, K., Kitagawa, G. (eds.) Selected Papers of Hirotugu Akaike, pp. 199–213. Springer, New York (1998)
Cover, T.M., Thomas, J.A.: Information theory and the stock market. In: Elements of Information Theory. Wiley Inc., New York (1991). Chap. 5
Sinatra, R., Szell, M.: Entropy and the predictability of online life. Entropy 16(1), 543–556 (2014)
Spiekermann, S., Korunovska, J.: The importance of interface complexity and entropy for online information sharing. Behav. Inf. Technol. 33(6), 636–645 (2014)
Oruç, Ö.E., Kuruoglu, E., Gündüz, A.: Entropy applications for customer satisfaction survey in information theory. Front. Sci. 1(1), 1–4 (2012)
Mannheim, K.: The problem of generations. Psychoanal. Rev. 57, 378 (1970)
Pilcher, J.: Mannheim’s sociology of generations: an undervalued legacy. Br. J. Sociol. 45(3), 481–495 (1994)
McDonald, K.: How to Market to People Not Like You: “Know It or Blow It” Rules for Reaching Diverse Customers. Wiley Inc., Hoboken (2011)
Schroer, W.J., Klein, K.: Defining, Managing, and Marketing to Generations X, Y, and Z. The Portal XL, 9 (2008)
Lachman M.L., Brett D.L.: Generation Y: Shopping and entertainment in the digital age. Urban Land Institute (2013)
Kim, D.J.: Generation gaps in Engineering? Massachusetts Institute of Technology (2008)
ZeroDesktop I: Qualitytime App. http://www.qualitytimeapp.com
Srisawatsakul, C., Papasratorn, B.: Effects of age on end users’ usage of mobile social network applications. In: The 10th International Conference on e-Business (iNCEB2015), Bangkok, pp. 1–7 (2015)
Lee, Y.S.: Older adult’s user experiences with mobile phones: identification of user clusters and user requirements. Blacksburg, Virginia (2007)
Selwyn, N., Gorard, S., Furlong, J., Madden, L.: Older adults’ use of information and communications technology in everyday life. Ageing Soc. 23(5), 561–582 (2003)
Acknowledgements
This research was partially supported by the faculty of Computer Science, Ubon Ratchathani Rajabhat University. The authors would like to show our gratitude to Assoc. Prof. Dr. Borworn Papasratorn from the school of information technology, King Mongkut’s University of Technology Thonburi, Bangkok, Thailand for the assistance of this research. We also thank the reviewers for their suggestions that greatly improved the manuscript.
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Srisawatsakul, C., Boontarig, W. (2019). Generations and Level of Information on Mobile Devices Usage: An Entropy-Based Study. In: Unger, H., Sodsee, S., Meesad, P. (eds) Recent Advances in Information and Communication Technology 2018. IC2IT 2018. Advances in Intelligent Systems and Computing, vol 769. Springer, Cham. https://doi.org/10.1007/978-3-319-93692-5_26
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DOI: https://doi.org/10.1007/978-3-319-93692-5_26
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