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Open Access

Cyber-Syndrome: Concept, Theoretical Characterization, and Control Mechanism

Feifei Shi1, Huansheng Ning1( ), Liming Chen2, Sahraoui Dhelim3
School of Computer and Communication Engineering, University of Science and Technology Beijing, Beijing 100083, China
Faculty of Computing, Ulster University, Newtownabbey, BT37 0QB, UK
School of Computer Science, University College Dublin, Dublin, D04 V1W8, Ireland
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Abstract

The prevalence of social media and mobile computing has led to intensive user engagement in the emergent Cyber-Physical-Social-Thinking (CPST) space. However, the easy access, the lack of governance, and excessive use has generated a raft of new behaviors within CPST, which affects users’ physical, social, and mental states. In this paper, we conceive the Cyber-Syndrome concept to denote the collection of cyber disorders due to excessive or problematic Cyberspace interactions based on CPST theories. Then we characterize the Cyber-Syndrome concept in terms of Maslow’s theory of Needs, from which we establish an in-depth theoretical understanding of Cyber-Syndrome from its etiology, formation, symptoms, and manifestations. Finally, we propose an entropy-based Cyber-Syndrome control mechanism for its computation and management. The goal of this study is to give new insights into this rising phenomenon and offer guidance for further research and development.

Keywords

cyber-physical systemsentropyCyber-SyndromeCyber-Physical-Social-Thinking (CPST) spaceMaslow’s Hierarchy of Needs

References

[1]

H. Ning, X. Ye, M. A. Bouras, D. Wei, and M. Daneshmand, General cyberspace: Cyberspace and cyber-enabled spaces, IEEE Int. Things J., vol. 5, no. 3, pp. 1843–1856, 2018.
Crossref Google Scholar
[2]

N. N. G. D. Andrade, Technology and metaphors: From cyberspace to ambient intelligence, Observatorio (OBS), vol. 4, no. 1, pp. 121–146, 2010.
Google Scholar
[3]
Statista, Global digital population as of January 2021, https://www.statista.com/statistics/617136/digitalpopulation-worldwide/, 2021.
[4]

D. L. Hoffman, T. P. Novak, and A. Venkatesh, Has the internet become indispensable? Commun. ACM, vol. 47, no. 7, pp. 37–42, 2004.
Crossref Google Scholar
[5]

M. Shaw and D. W. Black, Internet addiction, CNS Drugs, vol. 22, no. 5, pp. 353–365, 2008.
Crossref Google Scholar
[6]

M. M. Spada, An overview of problematic internet use, Addict. Behav., vol. 39, no. 1, pp. 3–6, 2014.
Crossref Google Scholar
[7]

K. Young, M. Pistner, J. O’Mara, and J. Buchanan, Cyber disorders: The mental health concern for the new millennium, Cyberpsychology Behav., vol. 2, no. 5, pp. 475–479, 1999.
Crossref Google Scholar
[8]
C. Gregory, Internet addiction disorder—Signs, symptoms, and treatments, Recuperado de, https://www.psycom.net/iadcriteria.html, 2017.
[9]

R. Lozano-Blasco, A. Q. Robres, and A. S. Sánchez, Internet addiction in young adults: A meta-analysis and systematic review, Comput. Hum. Behav., vol. 130, p. 107201, 2022.
Crossref Google Scholar
[10]

S. Sun, J. Yang, Y. H. Chen, J. Miao, and M. Sawan, EEG signals based internet addiction diagnosis using convolutional neural networks, Appl. Sci., vol. 12, no. 13, p. 6297, 2022.
Crossref
[11]

M. E. McCauley and T. J. Sharkey, Cybersickness: Perception of self-motion in virtual environments, Presence: Teleoperators and Virtual Environments, vol. 1, no. 3, pp. 311–318, 1992.
Crossref Google Scholar
[12]

R. W. White and E. Horvitz, Cyberchondria: Studies of the escalation of medical concerns in web search, ACM Transactions on Information Systems (TOIS), vol. 27, no. 4, pp. 1–37, 2009.
Crossref Google Scholar
[13]

Y. Zheng, D. Wei, J. Li, T. Zhu, and H. Ning, Internet use and its impact on individual physical health, IEEE Access, vol. 4, pp. 5135–5142, 2016.
Crossref Google Scholar
[14]

H. Ning, S. Dhelim, M. A. Bouras, A. Khelloufi, and A. Ullah, Cyber-syndrome and its formation, classification, recovery and prevention, IEEE Access, vol. 6, pp. 35501–35511, 2018.
Crossref Google Scholar
[15]

H. Ning and H. Liu, Cyber-physical-social-thinking space based science and technology framework for the Internet of Things, Sci. China Inf. Sci., vol. 58, no. 3, pp. 1–19, 2015.
Crossref Google Scholar
[16]

M. Conti, A. Passarella, and S. K. Das, The Internet of People (IoP): A new wave in pervasive mobile computing, Pervasive Mob. Comput., vol. 41, pp. 1–27, 2017.
Crossref Google Scholar
[17]

K. S. Young, Internet addiction: The emergence of a new clinical disorder, CyberPsychology Behav., vol. 1, no. 3, pp. 237–244, 1998.
Crossref Google Scholar
[18]

H. Cash, C. D. Rae, A. H. Steel, and A. Winkler, Internet addiction: A brief summary of research and practice, Curr. Psychiatry Rev., vol. 8, no. 4, pp. 292–298, 2012.
Crossref Google Scholar
[19]

P. Reed, M. Romano, F. Re, A. Roaro, L. A. Osborne, C. Viganò, and R. Truzoli, Differential physiological changes following internet exposure in higher and lower problematic internet users, PLoS One, vol. 12, no. 5, p. e0178480, 2017.
Crossref Google Scholar
[20]

P. Thanasekaran and D. Chala, Cyber disorder, Int. J. Science and Research, vol. 4, no. 4, pp. 390–392, 2015.
Google Scholar
[21]

P. Caserman, A. Garcia-Agundez, A. G. Zerban, and S. Göbel, Cybersickness in current-generation virtual reality head-mounted displays: Systematic review and outlook, Virtual Real., vol. 25, no. 4, pp. 1153–1170, 2021.
Crossref Google Scholar
[22]

V. Starcevic and D. Berle, Cyberchondria: Towards a better understanding of excessive health-related internet use, Expert Rev. Neurother., vol. 13, no. 2, pp. 205–213, 2013.
Crossref Google Scholar
[23]

J. J. LaViola Jr., A discussion of cybersickness in virtual environments, SIGCHI Bull., vol. 32, no. 1, pp. 47–56, 2000.
Crossref Google Scholar
[24]

A. H. Maslow, A theory of human motivation, Psychol. Rev., vol. 50, no. 4, pp. 370–396, 1943.
Crossref Google Scholar
[25]

R. S. Martínez, Disability in young people, increases the risk of excessive internet use? Health and Addictions, vol. 15, no. 1, pp. 15–23, 2015.
Google Scholar
[26]

H. J. Rumpf, A. A. Vermulst, A. Bischof, N. Kastirke, D. Gürtler, G. Bischof, G. J. Meerkerk, U. John, and C. Meyer, Occurence of internet addiction in a general population sample: A latent class analysis, Eur. Addict. Res., vol. 20, no. 4, pp. 159–166, 2014.
Crossref Google Scholar
[27]

H. F. Tsai, S. H. Cheng, T. L. Yeh, C. C. Shih, K. C. Chen, Y. C. Yang, and Y. K. Yang, The risk factors of internet addiction—A survey of university freshmen, Psychiatry Res., vol. 167, no. 3, pp. 294–299, 2009.
Crossref Google Scholar
[28]

X. Ni, H. Yan, S. Chen, and Z. Liu, Factors influencing internet addiction in a sample of freshmen university students in China, Cyberpsychology Behav., vol. 12, no. 3, pp. 327–330, 2009.
Crossref Google Scholar
[29]

L. Lei and Y. Yang, The development and validation of adolescent pathological internet use scale, Acta Psychologica Sinica, vol. 39, no. 4, pp. 688–696, 2007.
Crossref Google Scholar
[30]

J. Bao, B. Drobe, Y. Wang, K. Chen, E. J. Seow, and F. Lu, Influence of near tasks on posture in myopic Chinese schoolchildren, Optom. Vis. Sci., vol. 92, no. 8, pp. 908–915, 2015.
Crossref Google Scholar
[31]

G. Lissak, Adverse physiological and psychological effects of screen time on children and adolescents: Literature review and case study, Environ. Res., vol. 164, pp. 149–157, 2018.
Crossref Google Scholar
[32]
T. Saito, Shakaiteki Hikikomori (Social Withdrawal). Tokyo, Japan: PHP Kenkyujo, 1998.
[33]

M. Tateno, A. R. Teo, W. Ukai, J. Kanazawa, R. Katsuki, H. Kubo, and T. A. Kato, Internet addiction, smartphone addiction, and hikikomori trait in Japanese young adult: Social isolation and social network, Front. Psychiatry, vol. 10, p. 455, 2019.
Crossref Google Scholar
[34]
S. Shekar and A. Aravantagi, Cyberchondria and its effects on anxiety during Covid-19 pandemic, in Anxiety, Uncertainty, and Resilience During the Pandemic Period : Anthropological and Psychological Perspectives, F. Gabrielli and F. Irtelli, eds. London, UK: Intechopen, 2021.
Crossref
[35]

P. Ge, J. Liu, X. Han, S. T. Wei, X. Z. He, Y. Tang, X. Xu, S. Y. Wang, Y. Bian, and Y. Wu, Systematic evaluation of COVID-19 related internet health rumors during the breaking out period of COVID-19 in China, Health Promot. Perspect., vol. 11, no. 3, pp. 288–298, 2021.
Crossref Google Scholar
[36]

T. Love, C. Laier, M. Brand, L. Hatch, and R. Hajela, Neuroscience of internet pornography addiction: A review and update, Behav. Sci. (Basel), vol. 5, no. 3, pp. 388–433, 2015.
Crossref Google Scholar
[37]

X. Hou, T. A. Allen, D. Wei, H. Huang, K. Wang, C. G. DeYoung, and J. Qiu, Trait compassion is associated with the neural substrate of empathy, Cogn. Affect. Behav. Neurosci., vol. 17, no. 5, pp. 1018–1027, 2017.
Crossref Google Scholar
[38]

I. Aoki, Entropy flow and entropy production in the human body in basal conditions, J. Theor. Biol., vol. 141, no. 1, pp. 11–21, 1989.
Crossref Google Scholar
[39]

I. Prigogine, Time, structure, and fluctuations, Science, vol. 201, no. 4358, pp. 777–785, 1978.
Crossref Google Scholar
Tsinghua Science and Technology
Volume 29 Issue 3,
June 2024
Pages 721-735
DOI: 10.26599/TST.2023.9010046
Cite this article:
Shi F, Ning H, Chen L, et al. Cyber-Syndrome: Concept, Theoretical Characterization, and Control Mechanism. Tsinghua Science and Technology, 2024, 29(3): 721-735. https://doi.org/10.26599/TST.2023.9010046

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Received: 15 December 2022
Revised: 20 April 2023
Accepted: 26 May 2023
Published: 04 December 2023
© The Author(s) 2024.

The articles published in this open access journal are distributed under the terms of theCreative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/).
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