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Research on the influence of tea culture on tea product innovation based on the natural user interface (NUI) method

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Abstract

One research method based on influences of Natural user interface (NUI) tea culture on creativity of tea product in low-carbon economy is proposed to improve scientificity and reasonability of creative design of tea products in low-carbon economy. Firstly, introduction is carried out on creative design scheme of NUI tea products and the user interface makes it available for fast learning and complex interaction depends on creation in technology and experience. And then, specialized knowledge can be used to optimize the route and meet users’ requirements according to the context and task; secondly, the scheme is adopted for research on influences of tea culture on creation in tea products and then corresponding creative design is carried out on tea products; in the end, design results and corresponding experimental analysis is carried out to verify validity of proposed methods.

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References

  1. Wang, W.: Creating tea packaging design of brand image. J. Cent. South Univ. For. Technol. 6, 157–159 (2015)

    Google Scholar 

  2. Wang, R.N.: Study on the construction of Fujian tea culture creative industry park model. Fujian Agriculture and Forestry University, Fuzhou (2013)

    Google Scholar 

  3. He, W.N., Zhao, X.: The influence of environmental performance on financial performance under low carbon economy: empirical evidence from China’s oil industry. Ecol. Econ. 1, 26–32 (2014)

    Google Scholar 

  4. Li, J.N., Huang, J.S.: The realization of industrial design product with computer software. In: Proceedings of the 2016 International Conference on Computer Science and Electronic Technology International Society (ICCSET2016), pp. 331–334 (2016)

  5. Zheng, Y.S., Fang, X.: Research of product interaction design trends based on information society. In: Proceedings of International Innovation Design and Management Summit Forum in 2011 & the Second Design Academic Conference of Chinese Worldwide (IDM2011), pp. 393-394 (2010)

  6. Liu, Y., Zhang, Y.J., Wu, X.L.: A reflection on the innovation of visual communication design education in the new media era. In: Proceedings of 2011 IEEE 12th International Conference on Computer-Aided Industrial Design & Conceptual Design, vol. 2, pp. 90–94. Beijing Information Science & Technology University Art Design Department, School of Continuing Education Beijing, China (2011)

  7. Fan, D.C., Wang, S.H., Zhang, W.: Analysis of the influence factors of the primary energy consumption structure under the target of low-carbon economy. Res. Sci. 4, 696–703 (2012)

    Google Scholar 

  8. Yang, E.Y.: Influence of low-carbon economy on the natural-gas industry in China. Energy Res. Inf. 2, 63–68 (2011)

    Google Scholar 

  9. Jiao, Y.Z.: Preliminary exploration of digital interactive design—new direction of art design specialty under NUI background. Popul. Lit. Art 7, 96–97 (2014)

    Google Scholar 

  10. Zhang, M.M., Fu, J.: Product design based on the combination of the entity user interface and the natural user interface. Sci. Technol. Rev. Z2, 99–102 (2013)

    Google Scholar 

  11. Wigdor, D., Wixon, D.: Brave NUI World: Designing Natural User Interfaces for Touch and Gesture. Morgan Kaufmann, San Francisco (2011)

    Google Scholar 

  12. Norman, D., Nielsen, J.: Gestural interfaces: a step backward in usability. Interactions 17(5), 46–49 (2010)

    Article  Google Scholar 

  13. Falcao, C., Lemos, A.C., Soares, M.: Evaluation of natural user interface: a usability study based on the leap motion device. Proc. Manuf. 3, 5490–5495 (2015)

    Google Scholar 

  14. Peng, Z.I.: Research on low-carbon design pattern of packaging under the influence of low-carbon economy. Packag. Eng. 31(12), 130–133 (2010)

    Google Scholar 

  15. Shi, B., Zhan, S., Cao, K., et al.: Research on the development of information industry under the background of low carbon economy. Sci. Mosaic 6, 118–126 (2014)

    Google Scholar 

  16. Hemery, E., Manitsaris, S., Moutarde, F., et al.: Towards the design of a natural user interface for performing and learning musical gestures. Proc. Manuf. 3, 6329–6336 (2015)

    Google Scholar 

  17. Kamaruzaman, M.F., Rani, N.M., Nor, H.M., et al.: Developing user interface design application for children with autism. Proc. Soc. Behav. Sci. 217, 887–894 (2016)

    Article  Google Scholar 

  18. Arunkumar, N., Ram Kumar, K., Venkataraman, V.: Automatic detection of epileptic seizures using permutation entropy, Tsallis entropy and Kolmogorov complexity. J. Med. Imaging Health Inform. 6(2), 526–531 (2006)

    Article  Google Scholar 

  19. Arunkumar, N., Kumar, K.R., Venkataraman, V.: Automatic detection of epileptic seizures using new entropy measures. J. Med. Imaging Health Inform. 6(3), 724–730 (2016)

    Article  Google Scholar 

  20. Arunkumar, N., Ramkumar, K., Venkatraman, V., Abdulhay, E., Fernandes, S.L., Kadry, S., Segal, S.: Classification of focal and non focal EEG using entropies. Pattern Recogn. Lett. 94, 112–117 (2017)

    Article  Google Scholar 

  21. Fernandes, S.L., Gurupur, V.P., Sunder, N.R., Arunkumar, N., Kadry, S.: A novel nonintrusive decision support approach for heart rate measurement. Pattern Recog. Lett. (2017). https://doi.org/10.1016/j.patrec.2017.07.002

    Article  Google Scholar 

  22. Hamza, R., Muhammad, K., Arunkumar, N.: Hash based encryption for keyframes of diagnostic hysteroscopy. IEEE Access (2017). https://doi.org/10.1109/ACCESS.2017.2762405

    Article  Google Scholar 

  23. Hamza, R., Muhammad, K., Arunkumar, N.: Hash based encryption for keyframes of diagnostic hysteroscopy. IEEE Access (2017). https://doi.org/10.1109/ACCESS.2017.2762405

    Article  Google Scholar 

  24. Fernandes, S.L., Gurupur, V.P., Sunder, N.R., Arunkumar, N., Kadry, S.: A novel nonintrusive decision support approach for heart rate measurement. Pattern Recog. Lett. (2017). https://doi.org/10.1016/j.patrec.2017.07.002

    Article  Google Scholar 

  25. Arunkumar, N., Ramkumar, K., Venkatraman, V., Abdulhay, E., Fernandes, S.L., Kadry, S., Segal, S.: Classification of focal and non focal EEG using entropies. Pattern Recog. Lett. 94, 112–117 (2017)

    Article  Google Scholar 

  26. Arunkumar, N., Kumar, K.R., Venkataraman, V.: Automatic detection of epileptic seizures using new entropy measures. J. Med. Imaging Health Inform. 6(3), 724–730 (2016)

    Article  Google Scholar 

  27. Arunkumar, N., Ram Kumar, K., Venkataraman, V.: Automatic detection of epileptic seizures using permutation entropy, Tsallis entropy and Kolmogorov complexity. J. Med. Imaging Health Inform. 6(2), 526–531 (2016)

    Article  Google Scholar 

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Authors and Affiliations

  1. Department of Korean Culture Graduate School of Wonkwang University, 460 lksandae-ro, Lksan, 54538, Jeonbuk, Republic of Korea

    Dan Li

  2. Department of Research and Development of Cloudin Technology Limited, Chaoyang District, Beijing, 100020, People’s Republic of China

    Fanglei Xue

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  1. Dan Li
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  2. Fanglei Xue
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Correspondence to Dan Li.

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Li, D., Xue, F. Research on the influence of tea culture on tea product innovation based on the natural user interface (NUI) method. Cluster Comput 22 (Suppl 2), 4893–4899 (2019). https://doi.org/10.1007/s10586-018-2439-x

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  • DOI: https://doi.org/10.1007/s10586-018-2439-x

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