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Intelligent software-driven immersive environment for online political guiding based on brain-computer interface and autonomous systems

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Abstract

Along with the rapid development of modern information society, the network has been widely used in social groups. However, the network is a double-edged sword, unhealthy information is easy to harm the psychology of college students. The use of network audio-visual culture to carry out political guiding in colleges ainto cyberspace has become an inevitable direction of development. As technology changes education, virtual reality technology also applies to education. Technology makes up for the defects. VR brings a new experience to education and skillfully avoids the defects of two-dimensional video materials. The immersive interactive environment changes the traditional scene into a virtual 3D scene, giving students an immersive learning experience. Cognitive model is a kind of psychological and thinking structure generated in the process of people's cognition of the objective world, which is composed of knowledge and their connection structure. Brain computer Interface (BCI) is a communication control system that does not depend on the normal output pathway of peripheral nerve and muscle tissue of the brain. It is a technology that uses brain signal processing technology to enhance the interaction between human and environment. Therefore, this paper studies an intelligent software-driven immersive environment for online political guiding based on brain-computer interface and autonomous systems. The designed framework is implemented through the data set testing.

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References

  • Abdellatif, M., Tighilt, R., Belkhir, A., Moha, N., Guéhéneuc, Y.-G., Beaudry, É.: A multi-dimensional study on the state of the practice of REST APIs usage in android apps. Autom. Softw. Eng. 27(3), 187–228 (2020)

    Article  Google Scholar 

  • Almhana, R., Kessentini, M.: Considering dependencies between bug reports to improve bugs triage. Autom. Softw. Eng. 28(1), 1–26 (2021)

    Article  Google Scholar 

  • Coyle, S., Ward, T., Markham, C., Mc Darby, G.: On the suitability of near-infrared (nir) sysems for next-generation brain-computer interfaces. Physiol. Meas. 25(4), 815–822 (2004)

    Article  Google Scholar 

  • Dan, Q., Nuan, W.: Innovation on environmental construction of ideological and political education in colleges[J]. High. Edu. Soc. Sci. 5(3), 66–68 (2013)

    Google Scholar 

  • Dunbar, J., Gilbert, J.E., Lewis, B.: Exploring differences between self-report and electrophysiological indices of drowsy driving: a usability examination of a personal brain-computer interface device. J. Safety Res. 74, 27–34 (2020)

    Article  Google Scholar 

  • Esteves, G., Figueiredo, E., Veloso, A., Viggiato, M., Ziviani, N.: Understanding machine learning software defect predictions. Autom. Softw. Eng. 27(3), 369–392 (2020)

    Article  Google Scholar 

  • Feng C., Changchun Z.,: A new perspective for understanding the meaning of network ideological and political education [J]. Jianghuai Forum, (2004) (6)

  • Gao, L., Cao, X., Zhang, M.: The study on community health education of empty nest elderly [J]. Engineering 5(10), 137–139 (2013)

    Article  Google Scholar 

  • Georgi P, L Shahbazyan. Cognitive model of confirmation bias effects[A]

  • Information Engineering Research Institute, USA. In: proceedings of 2013 3rd international conference on social sciences and society (ICSSS 2013) Volume 32[C]. 2013, 6

  • Jiang, Z., Selected works of Jiang Zemin [M]. People's publishing house, (2006) p. 94

  • Laiwalla, F., Leung, V.W., Lee, J., Mercier, P., Asbeck, P., Rao, R., Larson, L., Nurmikko, A.: Next generation microscale wireless implant system for high-density, multi-areal, closed-loop brain computer interfaces. Brain-Comput. Interface Res. State-of-the-Art Summary 9(9), 39 (2021)

    Article  Google Scholar 

  • Lalor, E.C., Kelly, S.P., Finucane, C., Burke, R., Smith, R., Reilly, R.B., McDarby, G.: Steady-state VEP-based brain-computer interface control in an lmmersive 3D gaming environment. EURASIP J. Adv. Signal Process. 19, 3156–3164 (2005)

    MATH  Google Scholar 

  • Lee, S., Kweon, S.H.: A study on empathy, credibility, and political attitude in social media: focused on the relationship between empathetic intention and the motivation of belonging on intended pro-social and political behavior[J]. Adv. J. Commun. 1(3), 26 (2013)

    Google Scholar 

  • Lin Y.,: Analysis of the current situation and Countermeasures of network ideological and political education in Colleges and universities [J]. Econ. Soc. Dev. (2010) (5)

  • Liu M.,: Modern ways of ideological and political education: on the construction of network ideological and political education [J]. J. Henan Normal Univ. (Philosophy and Social Sciences), (2000), (2)

  • Mc Farland, D.J., Sarnacki, W.A., Wolpaw, J.R.: Electroencephalographic (eeg) control of three-dimensional movement. J. Neural Eng. 7, 036007 (2010)

    Article  Google Scholar 

  • Mccreadie, K.A., Coyle, D.H., Prasad, G.: Is Sensorimotor BCI performance influenced differently by mono, stereo, or 3-D auditory feedback? IEEE Trans. Neural Syst. Rehabil. Eng. 22(3), 431–440 (2014)

    Article  Google Scholar 

  • Pan M., Chen Z., Yu C.,: A review of the research on network ideological and political education in colleges and universities [J]. Theor. Front Coll. Univ., (2006) (11)

  • Parikh, D, and K George: Conceptual neuroadaptive brain computer interface for autonomous control of automobile brakes. In: 2020 11th IEEE annual ubiquitous computing, electronics & mobile communication conference (UEMCON), pp. 0958–0961. IEEE, (2020)

  • Ramadan, R.A., Vasilakos, A.V.: Brain computer interface: control signals review. Neurocomputing 223, 26–44 (2017)

    Article  Google Scholar 

  • Rebai, S., Amich, A., Molaei, S., Kessentini, M., Kazman, R.: Multi-objective code reviewer recommendations: balancing expertise, availability and collaborations. Autom. Softw. Eng. 27(3), 301–328 (2020)

    Article  Google Scholar 

  • Samaras, H., Giouvanalis, T., Bousiou, D., et al.: A new generation of multimedia learning research[J]. Assoc. Adv. Comput. Edu. J. 14(1), 3–30 (2006)

    Google Scholar 

  • Tang, Y., Yang, G., Analysis of the basic characteristics of college students' network ideological and political education [J]. J. Hunan Univ. (Social Science Edition), (2012) (1)

  • Teng SH., LQ, Eiehstaedt: Colaborative web crawling: information gathering/processing over internet[C]. In: proeeedings of the Hawaii international conference on system sciences, 1999 18

  • Vaughan, T.M., Wolpaw, J.R., Donchin, E.: EEG-based communication: prospects and problems. IEEE Trans. Rehab. Eng. 4(4), 425–430 (1996)

    Article  Google Scholar 

  • Wang, D., Zhu, Q., Lin, Y.: Study on the problems existing in the employment education for college students in China’s independent colleges and corresponding countermeasures[J]. Creat. Educ. 4(7), 470–473 (2013)

    Article  Google Scholar 

  • Wang, X., Hersche, M., Tömekce, B., Kaya, W., Magno M., and Benini, L.,: An accurate eegnet-based motor-imagery brain–computer interface for low-power edge computing. In: 2020 IEEE international symposium on medical measurements and applications (MeMeA), pp. 1–6. IEEE, (2020)

  • Wang G.,: Problems and countermeasures in network ideological and political education in colleges and universities [J]. Century Bridge, (2011) (23)

  • Wei J.,: A scientific survey on the definition of network ideological and Political Education [J]. School Party Build. Ideol. Edu. (2003) (2)

  • Wolpaw, J.R., Mc Farland, D.J.: Control of a two-dimensional movement signal by a noninvasive brain-computer interface in humans. Proc. Natl. Acad. Sci. USA 101(51), 17849–17854 (2004)

    Article  Google Scholar 

  • Wolpaw, J.R., Mc Farland, D.J., Vaughan, T.M., Schalk, G.: The wadsworth center brain-computer interface (bci) research and development program. IEEE Trans. Neural Syst. Rehabil. Eng. 11, 204–207 (2003)

    Article  Google Scholar 

  • Yaocan, Z., Yongting, Z., et al.: Modern ideological and political education [M]. People’s Publishing House, New Delhi (2001)

    Google Scholar 

  • Yongchao, T., and Huang, H.,: An EEG-based brain-computer interface for attention state recognition. In: 2020 international symposium on autonomous systems (ISAS), pp. 100–104. IEEE, (2020)

  • Zeng, L.: Introduction to network ideological and political education [M], p. 32. Guangxi Nationalities Press, Guangxi (2002)

    Google Scholar 

  • Zhang, Z., et al.: Research on network ideological and political education [M], p. 226. Economic Science Press, Beijing (2009)

    Google Scholar 

  • Zhang F.,: Several kinds of consciousness should be strengthened by ideological and political workers in Colleges and Universities under the network environment [J]. J. Ideol. Theor. Edu., (2002) (7).

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Acknowledgements

The research is supported by: The XUPT’S 2018 project of teaching reformation: Research on the Teaching Problem “the Overall Strategy for Building Socialism with Chinese Characteristics for New Era”(No. JGZ201835).

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Authors and Affiliations

  1. School of Marxism, Shaanxi Normal University, Xi’an, China

    Yingchun Wang

  2. School of Marxism, Xi’an University of Posts and Telecommunications, Xi’an, China

    Yingchun Wang

  3. Art College of Jilin University, Jilin, China

    Weijun Hu

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  1. Yingchun Wang
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Wang, Y., Hu, W. Intelligent software-driven immersive environment for online political guiding based on brain-computer interface and autonomous systems. Autom Softw Eng 29, 19 (2022). https://doi.org/10.1007/s10515-021-00300-2

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