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Generations and Level of Information on Mobile Devices Usage: An Entropy-Based Study

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Recent Advances in Information and Communication Technology 2018 (IC2IT 2018)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 769))

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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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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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Authors and Affiliations

  1. Faculty of Computer Science, Ubon Ratchathani Rajabhat University, Ubon Ratchathani, 34000, Thailand

    Charnsak Srisawatsakul & Waransanang Boontarig

Authors
  1. Charnsak Srisawatsakul
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  2. Waransanang Boontarig
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Corresponding author

Correspondence to Charnsak Srisawatsakul .

Editor information

Editors and Affiliations

  1. LG Kommunikationsnetze, Fern Universität in Hagen, Hagen, Germany

    Herwig Unger

  2. Faculty of Information Technology, King Mongkut’s University of Technology North Bangkok, Bangkok, Thailand

    Sunantha Sodsee

  3. Faculty of Information Technology, King Mongkut’s University of Technology North Bangkok, Bangkok, Thailand

    Phayung Meesad

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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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