Nothing Special   »   [go: up one dir, main page]

Skip to main content

Conversational User Interface Integration in Controlling IoT Devices Applied to Smart Agriculture: Analysis of a Chatbot System Design

  • Conference paper
  • First Online:
Intelligent Systems and Applications (IntelliSys 2019)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1037))

Included in the following conference series:

Abstract

Smart Agriculture is a considerably novel approach which attempts to encounter the climate change challenges as well as the increased global nutritional needs through the adoption of automated and ICT directed innovative technologies. Since the latest solutions for Smart Agriculture employ cloud services and advanced interconnectivity methods which consolidate the Internet of Things (IoT) technology features along with the ubiquity and mobility attributes granted by smart devices, the necessity of extreme customization, enabling the remote interaction of the objects, is creating the need for sophisticated interfaces. Moreover, in order to achieve the maximum possible penetration of IoT technologies in the agricultural sector it is essential to establish interaction methods among users, applications and systems through interfaces which are simple and friendly in end-usage. Herewith, in this paper an attempt is made to encounter this issue through the integration of Conversational User Interfaces (CUI) in controlling IoT devices for Smart Agriculture. The proposed approach introduces the design and indicative usage of a chatbot system which employs a messenger service platform environment in natural language so as to provide an efficient, secure and user-friendly framework of interaction with the IoT devices deployed for agricultural purposes.

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 169.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 219.99
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

Similar content being viewed by others

References

  1. Digital In 2018: World’s Internet Users Pass the 4 Billion Mark. https://wearesocial.com/us/blog/2018/01/global-digital-report-2018. Accessed 03 Dec 2018

  2. Agrawal, S., Das, M.L.: Internet of Things - a paradigm shift of future internet applications. In: Proceedings of 2011 Nirma University International Conference on Engineering, NUiCONE 2011, Ahmedabad, Gujarat, India, 8–10 December 2011, pp. 1–7. IEEE, 16 February 2012. https://doi.org/10.1109/nuicone.2011.6153246

  3. Al-Fuqaha, A., et al.: Internet of Things: a survey on enabling technologies, protocols, and applications. IEEE Commun. Surv. Tutor. 17(4), 2347–2376 (2015). https://doi.org/10.1109/comst.2015.2444095

    Article  Google Scholar 

  4. Queiroz, T.M., Botrel, T.A., Frizzone, J.A.: Desenvolvimento de software e hardware para irrigação de precisão usando pivô central. Engenharia Agrícola 28(1), 44–54 (2008). ISSN 0100-6916

    Article  Google Scholar 

  5. Lipper, L., et al.: Climate-smart agriculture for food security. Nat. Clim. Change J. 4, 1068–1072 (2014). https://doi.org/10.1038/nclimate2437

    Article  Google Scholar 

  6. Manyika, J., et al.: Disruptive Technologies: Advances that will Transform Life, Business, and the Global Economy. McKinsey Global Institute, New York (2013). https://www.mckinsey.com/~/media/McKinsey/Business%20Functions/McKinsey%20Digital/Our%20Insights/Disruptive%20technologies/MGI_Disruptive_technologies_Full_report_May2013.ashx. Accessed 13 Dec 2018

  7. Ball, E.V., Wang, S.L., Nehring, R., Mosheim, R.: Productivity and economic growth in U.S. agriculture: a new look. Appl. Econ. Perspect. Policy 38(1), ppv031, 30–49 (2015). https://doi.org/10.1093/aepp/ppv031

  8. Fraser, N.: Assessment of interactive systems. In: Gibbon, D., Moore, R., Winski, R. (eds.) Handbook of Standards and Resources for Spoken Language Systems, pp. 564–614. Mouton de Gruyter, New York (1997)

    Google Scholar 

  9. Turing, A.M.: Computing machinery and intelligence. Mind 59(236), 433–460 (1950)

    Article  MathSciNet  Google Scholar 

  10. Weizenbaum, J.: ELIZA - A computer program for the study of natural language communication between man and machine. Commun. ACM 9(1), 36–45 (1966). https://doi.org/10.1145/365153.365168

    Article  Google Scholar 

  11. Wallace, R.S.: The anatomy of ALICE. In: Epstein, R., Roberts, G., Beber, G. (eds.) Parsing the Turing Test, pp. 181–210. Springer, Dordrecht (2009). ISBN 978-1-4020-9624-2

    Google Scholar 

  12. Ferrucci, D.A.: Introduction to “This is Watson”. IBM J. Res. Dev. 56(3.4), 1–15 (2012). https://doi.org/10.1147/jrd.2012.2184356

    Article  Google Scholar 

  13. Oriol, V., Quoc, L.: A neural conversational model. In: Proceedings of the 31st International Conference on Machine Learning, Lille, France. JMLR: W&CP 37 (2015). arXiv:1506.05869 [cs.CL]

  14. Billi, R., et al.: Automation of telecom Italia directory assistance service: field trial results. In: Proceedings of 1998 IEEE 4th Workshop Interactive Voice Technology for Telecommunications Applications, IVTTA 1998, Torino, Italy, 29–30 September 1998, pp. 11–16. IEEE, 06 August 2002. https://doi.org/10.1109/ivtta.1998.727682

  15. Barnard, E., et al.: A consistent approach to designing spoken-dialog systems. In: Proceedings ASRU Workshop, Keystone, Colorado, USA (1999)

    Google Scholar 

  16. Rosset, S., et al.: Design strategies for spoken language dialog systems. In: Proceedings of the 6th European Conference on Speech Communication and Technology, Eurospeech 1999, Budapest, Hungary, 5–9 September 1999, pp. 1535–1538 (1999)

    Google Scholar 

  17. Glass, J.: A probabilistic framework for segment-based speech recognition. Comput. Speech Lang. 17, 137–152 (2003). https://doi.org/10.1016/s0885-2308(03)00006-8

    Article  Google Scholar 

  18. Polifroni, J., et al.: Towards the automatic generation of mixed-initiative dialogue systems from web content. In: Proceedings of the 8th European Conference on Speech Communication and Technology, Eurospeech 2003 - Interspeech 2003, Geneva, Switzerland, 1–4 September 2003, pp. 193–196 (2003)

    Google Scholar 

  19. Wahlster, W.: Conversational user interfaces. IT Inf. Technol. 46(6), 289–290 (2004)

    Google Scholar 

  20. McTear, M., Callejas, Ζ., Griol, D.: Implementing spoken language understanding. In: The Conversational Interface: Talking to Smart Devices, pp. 187–208. Springer, Cham (2016). https://doi.org/10.1007/978-3-319-32967-3_9

    Chapter  Google Scholar 

  21. Stoyanchev, S., Lison, P., Bangalore, S.: Rapid prototyping of formdriven dialogue systems using an open-source framework. In: Proceedings of the 17th Annual Meeting of the Special Interest Group on Discourse and Dialogue, pp. 216–219. Association for Computational Linguistics, Los Angeles (2016)

    Google Scholar 

  22. Schnelle-Walka, D., Radomski, S., Milde, B., Biemann, C., Muhlhauser, M.: NLU vs. dialog management: to whom am i speaking? In: Proceedings of the Joint Workshop on Smart Connected and Wearable Things, SCWT 2016, Sonoma, California, USA, 10 March 2016. https://doi.org/10.13140/RG.2.1.1928.4247

  23. Kar, R., Haldar, R.: Applying chatbots to the Internet of Things: opportunities and architectural elements. Int. J. Adv. Comput. Sci. Appl. (IJACSA) 7(11), 147–154 (2016). http://dx.doi.org/10.14569/IJACSA.2016.071119

  24. Ferrara, E., Varol, O., Davis, C., Menczer, F., Flammini, A.: The rise of social bots. Commun. ACM 59(7), 96–104 (2016). https://doi.org/10.1145/2818717

    Article  Google Scholar 

  25. Gartner: Hype cycle for emerging technologies, Technical report (2016). http://www.gartner.com/document/3383817. Accessed 03 Dec 2018

  26. Mauldin, M.: ChatterBots, TinyMuds, and the turing test: entering the Loebner prize competition. In: Proceedings of the 11th National Conference on Artificial Intelligence, AAAI 1994, Seattle, Washington, USA, 31 July–4 August 1994, pp. 16–21. AAAI Press (1994). ISBN 978-0-262-51078-3

    Google Scholar 

  27. Braun, D., Hernandez-Mendez, A., Matthes, F., Langen, M.: Evaluating natural language understanding services for conversational question answering systems. In: Proceedings of the 18th Annual SIGdial Meeting on Discourse and Dialogue. Association for Computational Linguistics, Saarbrücken, pp. 174–185, August 2017

    Google Scholar 

  28. Reiter, E., Dale, R.: Building Natural Language Generation Systems. Cambridge University Press, Cambridge (2000). ISBN 0-521-62036-8

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Eleni Symeonaki .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2020 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Symeonaki, E., Arvanitis, K., Piromalis, D., Papoutsidakis, M. (2020). Conversational User Interface Integration in Controlling IoT Devices Applied to Smart Agriculture: Analysis of a Chatbot System Design. In: Bi, Y., Bhatia, R., Kapoor, S. (eds) Intelligent Systems and Applications. IntelliSys 2019. Advances in Intelligent Systems and Computing, vol 1037. Springer, Cham. https://doi.org/10.1007/978-3-030-29516-5_80

Download citation

Publish with us

Policies and ethics