Location via proxy:   [ UP ]  
[Report a bug]   [Manage cookies]                
Skip to main content

Human-Computer Interaction Model for Brainstorming Based on Extenics

  • Conference paper
  • First Online:
Brain Informatics (BI 2021)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 12960))

Included in the following conference series:

  • 2033 Accesses

Abstract

Brainstorming has been used for many years and have a very good efforts, however, the brainstorm also mainly relies on human’s capability of brains, especially experience and knowledge they possessed. Based on the new discipline called Extenics, we proposed a testing method to explore the process of how ideas are bring out of brains, and help people think in multi dimensions and put forward more ideas. Extenics has been applied to study the extension and transformation of things in formalized models and obtain systematic creatives to solve contradictory problems intelligently since 1983. Support with Information technology and artificial Intelligence, we collect more Information and knowledge systematically to form basic elements based on Extenics using Human-Computer Interaction model to help people find more characteristics and its value of objectives. This will compensate the limited Information and knowledge in human brains. Also, we provide a methodology to help people thinking in multi dimensions positively according to the instruction of our methods based on extension innovation method. The case study proves its effectiveness in improving the capability of innovation of college students by EGG and Data Statistics.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 89.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 119.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

We’re sorry, something doesn't seem to be working properly.

Please try refreshing the page. If that doesn't work, please contact support so we can address the problem.

References

  1. Chen, J., Lv, W.: Innovation study: evolution and contribution of China. Technol. Econ. 37(5), 1–13 (2018)

    Google Scholar 

  2. Martin, B.R.: Twenty challenges for innovation studies. Sci. Pub. Policy 43(3), 432–450 (2016)

    Article  Google Scholar 

  3. He, H., Liu, W., Yu, J., Li, X.: Extenics-based testing method of divergent thinking quotient. Procedia Comput. Sci. 91, 151–157 (2016)

    Article  Google Scholar 

  4. Chae, K. : Alex Osborn & brainstorming (1997). http://www.ciadvertising.org/

  5. Dugosh, K.L.: Cognitive stimulation in brainstorming. J. Pers. Soc. Psychol. 79(5), 722–735 (2020)

    Article  Google Scholar 

  6. Wu, J.: Application of brainstorming in the internet. Inf. Sci. 06, 749–751 (2004)

    Google Scholar 

  7. Zhuang, Y., Wu, F., Chen, C., Pan, Y.: Challenges and opportunities: from big data to knowledge in AI2.0. Front. Inf. Technol. Electron. Eng. 18(1), 3–14 (2017)

    Google Scholar 

  8. Li, X., Tian, Y., Smarandache, F., Alex, R.: An extension collaborative innovation model in the context of Big Data. Int. J. Inf. Technol. Decis. Making 14(1), 69–91 (2015)

    Article  Google Scholar 

  9. Yang, C., Cai, W.: Extenics: Theory. Method and Application. Science Press, Beijing (2013)

    MATH  Google Scholar 

  10. Yang, C.: Extension Innovation Method. CRC Press, Cornwall (2019)

    Google Scholar 

  11. Litchfield, R.C., Fan, J., Brown, V.R.: Directing idea generation using brainstorming with specific novelty goals. Motivat. Emot. 35(2), 135–143 (2011)

    Article  Google Scholar 

  12. Danes, J E.; Lindsey-Mullikin, J; Lertwachara, K.: The sequential order and quality of ideas in electronic brainstorming. Int. J. Inf. Manage. 53, 102126 (2020)

    Google Scholar 

  13. Zhang, H., Lee, S., Li, X., He, J.: EEG self-adjusting data analysis based on optimized sampling for robot control. Electronics 9(6), 925 (2020)

    Article  Google Scholar 

  14. Zhang, H., Liu, J., Dowens, M.: Complex brain activity analysis and recognition based on multiagent methods. Conc. Comput. Pract. Exp. 7 (2010). https://doi.org/10.1002/cpe.5855

Download references

Acknowledgements

This research was supported by Humanities and Social Sciences project (18YJAZH049) of the Ministry of Education, China and Postgraduate Education Innovation Project of Guangdong Province (2018JGXM34).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Xingsen Li .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2021 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Li, X., Pi, H., Zhang, H. (2021). Human-Computer Interaction Model for Brainstorming Based on Extenics. In: Mahmud, M., Kaiser, M.S., Vassanelli, S., Dai, Q., Zhong, N. (eds) Brain Informatics. BI 2021. Lecture Notes in Computer Science(), vol 12960. Springer, Cham. https://doi.org/10.1007/978-3-030-86993-9_47

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-86993-9_47

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-86992-2

  • Online ISBN: 978-3-030-86993-9

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics