Skip to main content
Springer Nature Link
Log in

Computer simulation of human–robot interaction through natural language

  • Original Article
  • Published:
Artificial Life and Robotics Aims and scope Submit manuscript

Abstract

Human–robot interaction in natural (or human) language is simulated as intelligent management of English conversation between a humanoid robot and several kinds of people on imagination. The robot is destined to help a disabled old man by comprehending his intention through dialogue and its final response to his intention is animated graphically. When the robot finds any problem in a situation in helping him, it tries to solve such a problem by employing its knowledge and the information acquired by inquiry to the people. This is an application of integrative multimedia understanding based on intermediate knowledge representation in mental-image description language (L md), the formal language proposed in mental image directed semantic theory.

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

Access this article

Log in via an institution

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

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10
Fig. 11
Fig. 12

Similar content being viewed by others

Explore related subjects

Discover the latest articles, news and stories from top researchers in related subjects.

References

  1. Yokota M. (2009) Systematic formulation and computation of subjective spatiotemporal knowledge based on mental image directed semantic theory: toward a formal system for natural intelligence. In: The 6th international workshop on natural language processing and cognitive science, pp 133–143

  2. Winograd T (2006) Shifting viewpoints: artificial intelligence and human–computer interaction. Artif Intell 170(18):1256–1258

    Article  Google Scholar 

  3. Yokota M (2012) Aware computing in spatial language understanding guided by cognitively inspired knowledge representation. Appl Comput Intell Soft Comput. 2012:1–10. doi:10.1155/2012/184103

    Article  Google Scholar 

  4. Weizenbaum J (1966) ELIZA. CACM 9:36–45

    Article  Google Scholar 

  5. Ferrucci D, Brown E, Chu-Carroll J et al (2010) Building Watson: an overview of the DeepQA project. AAAI AI Mag, Fall

    Google Scholar 

  6. Khummongkol R, Yokota M (2015) Computer simulation of mental image processing in natural language understanding by human. In: IEEE 7th international conference on awareness science and technology

  7. Heylighen F (1988) Formulating the problem of problem-formulation. In: Trappl R (ed) Cybernetics and systems ‘88. Kluwer Academic Publishers, Dordrecht, pp 949–957

    Google Scholar 

  8. Russell SJ, Norvig P (2010) Artificial intelligence: a modern approach. 3rd edn. Prentice Hall, Upper Saddle River

Download references

Author information

Authors and Affiliations

  1. Fukuoka Institute of Technology, Fukuoka, Japan

    Rojanee Khummongkol & Masao Yokota

Authors
  1. Rojanee Khummongkol
    View author publications

    You can also search for this author inPubMed Google Scholar

  2. Masao Yokota
    View author publications

    You can also search for this author inPubMed Google Scholar

Corresponding author

Correspondence to Masao Yokota.

Appendix

Appendix

See Fig. 12 and Table 1.

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Khummongkol, R., Yokota, M. Computer simulation of human–robot interaction through natural language. Artif Life Robotics 21, 510–519 (2016). https://doi.org/10.1007/s10015-016-0306-5

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10015-016-0306-5

Keywords