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Autonomy in individual behavior under multimedia information

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Abstract

The myriad changes that have accompanied modernization – the “big data” era, rapid technological advancement, societal transformations on both large and small scales – pose severe challenges to individual, autonomous decision-making behavior, which is vital to the formation of a network public opinion environment. According to the Yerkes-Dodson law between cognition and pressure and prospect theory, we built a model to investigate the impact of cognitive resilience on the individual, autonomous behavior choices. We utilized the model to investigate changes in individual choice behavior from the perspective of catastrophe theory, and propose several network control strategies accordingly. Results indicated that individuals who demonstrate high levels of sensitivity to information and knowledge show relatively strong cognitive resilience. We also found that the catastrophe model explains the mechanism of change in individual choice behavior better than traditional models. Finally, we found that under the same situational factors, individuals with strong cognitive resilience maintain a high level of autonomy in when posed with challenges related to social cognition, and that controlling the level of social cognition in networks is an efficient way to manage individual behavior on the whole.

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Acknowledgments

This work was supported by the Chinese National Natural Sciences Foundation (Grant Nos. 71531009, 71271093 and 71401090).

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Authors and Affiliations

  1. School of Management, Huazhong University of Science and Technology, Wuhan, 430074, China

    Guiyan Zhu, Chuanchao Huang, Bin Hu & Guangyu Li

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  1. Guiyan Zhu
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  2. Chuanchao Huang
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  3. Bin Hu
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  4. Guangyu Li
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Correspondence to Bin Hu.

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Zhu, G., Huang, C., Hu, B. et al. Autonomy in individual behavior under multimedia information. Multimed Tools Appl 75, 14433–14449 (2016). https://doi.org/10.1007/s11042-016-3570-4

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  • DOI: https://doi.org/10.1007/s11042-016-3570-4

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