[go: up one dir, main page]
More Web Proxy on the site http://driver.im/
Skip to main content
Springer Nature Link
Log in

Roles of Artificial Intelligence and Extended Reality Development in the Post-COVID-19 Era

  • Conference paper
  • First Online:
HCI International 2021 - Late Breaking Papers: Multimodality, eXtended Reality, and Artificial Intelligence (HCII 2021)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 13095))

Included in the following conference series:

Abstract

This paper explores recent roles of artificial intelligence and extended reality development during the coronavirus pandemic and then predicts their significant roles in the post-COVID-19 era in an interdisciplinary manner. To begin with, we investigate roles of artificial intelligence in tackling coronavirus during the outbreak since 2020 until today. It has been effectively used for many ways, such as forecasting the spread of COVID-19 on multimodal data using data analytics, preliminary diagnosis the virus disease from specific symptoms using machine learning, and analyzing big data from social media platforms to accurately prevent the spread of virus. At the same time, due to rapid advancement in recent immersive technology and extended reality is a very popular research topic in computer science, we discuss roles of extended reality which has been extensively used during the virus outbreak for various purposes, such as supporting for businesses and education and helping the medical and health care workers. For instance, it can used for supporting psychological recovery from medical treatment for virus patients, reducing the face-to-face interactivity of physicians with the symptomatic patients, and helping people with the use of telemedicine. Next, we present a new summary of integrated roles of artificial intelligence and extended reality development in the post-COVID-19 era in an interdisciplinary perspective. Moreover, we suggest possible directions of artificial intelligence in extended reality which can be used to guide the design of the next-generation human-computer interaction applications in the future.

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

Access this chapter

Log in via an institution

Subscribe and save

Springer+ Basic
£29.99 /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
GBP 19.95
Price includes VAT (United Kingdom)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
GBP 71.50
Price includes VAT (United Kingdom)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
GBP 89.99
Price includes VAT (United Kingdom)
  • 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. Kerdvibulvech, C., Chen, L.L.: The power of augmented reality and artificial intelligence during the Covid-19 Outbreak. In: Stephanidis, C., Kurosu, M., Degen, H., Reinerman-Jones, L. (eds.) HCII 2020. LNCS, vol. 12424, pp. 467–476. Springer, Cham (2020). https://doi.org/10.1007/978-3-030-60117-1_34

    Chapter  Google Scholar 

  2. Santosh, K.C.: AI-driven tools for coronavirus outbreak: need of active learning and cross-population train/test models on multitudinal/multimodal data. J. Med. Syst. 44(5), 1–5 (2020)

    Article  Google Scholar 

  3. Al-qaness, M.A.A., Ewees, A.A., Fan, H., Abd El Aziz, M.: Optimization method for forecasting confirmed cases of COVID-19 in china J. Clin. Med. 9(3), 674 (2020). https://doi.org/10.3390/jcm9030674

  4. Yahya, B.M., Yahya, F.S., Thannoun, R.G.: COVID-19 prediction analysis using artificial intelligence procedures and GIS spatial analyst: a case study for Iraq. Appl. Geomatics 13(3), 481–491 (2021). https://doi.org/10.1007/s12518-021-00365-4

    Article  Google Scholar 

  5. Imran, A., Posokhova, I., Qureshi, H.N., et al.: AI4COVID-19: AI enabled preliminary diagnosis for COVID-19 from cough samples via an app. Inform. Med. Unlocked 100378, 1–31 (2020)

    Google Scholar 

  6. Zoabi, Y., Deri-Rozov, S., Shomron, N.: Machine learning-based prediction of COVID-19 diagnosis based on symptoms. npj Digit. Med. 4(3), 1–5 (2021). https://doi.org/10.1038/s41746-020-00372-6

  7. Mei, X., et al.: Artificial intelligence-enabled rapid diagnosis of COVID-19 patients. medRxiv : the preprint server for health sciences (2020). https://doi.org/10.1101/2020.04.12.20062661

  8. Luengo-Oroz, M., Hoffmann Pham, K., Bullock, J., et al.: Artificial intelligence cooperation to support the global response to COVID-19. Nat. Mach. Intell. 2, 295–297 (2020)

    Google Scholar 

  9. Arora, N., Banerjee, A.K., Narasu, M.L.: The role of artificial intelligence in tackling COVID-19. Future Virology, vol. 15, no. 11, November 2020

    Google Scholar 

  10. Khan, R., Shrivastava, P., Kapoor, A., Tiwari, A., Mittal, A.: Social media analysis with AI: sentiment analysis techniques for the analysis of twitter covid-19 data. J. Critical Rev. 7(9), 2761–2774 (2020)

    Google Scholar 

  11. Samuel, J., Ali, G.G., Rahman, M., Esawi, E., Samuel, Y.: Covid-19 public sentiment insights and machine learning for tweets classification. Information 11(6), 314 (2020)

    Article  Google Scholar 

  12. Gupta, R., Vishwanath, A., Yang, Y.: COVID-19 Twitter Dataset with Latent Topics, Sentiments and Emotions Attributes. Inter-university Consortium for Political and Social Research [distributor], Ann Arbor, MI (2020). https://doi.org/10.3886/E120321V5

  13. Francesco, P., Silvio, P., Marco, B., Stefano, C.: VaccinItaly: monitoring Italian conversations around vaccines on Twitter. CoRR abs/2101.03757 (2021)

    Google Scholar 

  14. Franchini, M., et al.: Shifting the paradigm: the dress-cov telegram bot as a tool for participatory medicine. Int. J. Environ. Res. Public Health 17(23), 8786 (2020)

    Article  Google Scholar 

  15. Tessler, H., Choi, M., Kao, G.: The anxiety of being asian american: hate crimes and negative biases during the COVID-19 pandemic. Am. J. Crim. Justice 45(4), 636–646 (2020). https://doi.org/10.1007/s12103-020-09541-5

    Article  Google Scholar 

  16. Kerdvibulvech, C., Guan, S.-U.: Affective computing for enhancing affective touch-based communication through extended reality. In: Misra, S., et al. (eds.) ICCSA 2019. LNCS, vol. 11620, pp. 351–360. Springer, Cham (2019). https://doi.org/10.1007/978-3-030-24296-1_29

    Chapter  Google Scholar 

  17. Kwok, A.O.J., Koh, S.G.M.: COVID-19 and Extended Reality (XR), Current Issues in Tourism, July 2020. https://doi.org/10.1080/13683500.2020.1798896

  18. Mohanty, P., Hassan, A., Ekis, E.: Augmented reality for relaunching tourism post-COVID-19: socially distant, virtually connected. Worldwide Hospitality Tourism Themes 12(6), 753–760 (2020)

    Article  Google Scholar 

  19. Bruschi, B., Marchisio, M., Sacchet, M.: Online teaching in higher education with the support of Start@Unito during Covid-19 pandemic. In: Agrati, L.S., et al. (eds.) HELMeTO 2020. CCIS, vol. 1344, pp. 187–198. Springer, Cham (2021). https://doi.org/10.1007/978-3-030-67435-9_15

    Chapter  Google Scholar 

  20. Nesenbergs, K., Abolins, V., Ormanis, J., Mednis, A.: Use of augmented and virtual reality in remote higher education: a systematic umbrella review. Educ. Sci. 11(1), 8 (2021). https://doi.org/10.3390/educsci11010008

    Article  Google Scholar 

  21. Puspasari, S., Suhandi, N., Iman, J.N.: Augmented reality development for supporting cultural education role in SMB II museum during Covid-19 pandemic. In: 2020 Fifth International Conference on Informatics and Computing (ICIC), Gorontalo, Indonesia, pp. 1–6 (2020). https://doi.org/10.1109/ICIC50835.2020.9288619

  22. Vlake, J.H., van Bommel, J., Hellemons, M.E., Wils, E.J., Gommers, D., van Genderen, M.E.: Intensive Care Unit-Specific Virtual Reality for Psychological Recovery After ICU Treatment for COVID-19; A Brief Case Report. Front Med (Lausanne) (2021)

    Google Scholar 

  23. De Ponti, R., Marazzato, J., Maresca, A.M., Rovera, F., Carcano, G., Ferrario, M.M.: Pre-graduation medical training including virtual reality during COVID-19 pandemic: a report on students’ perception. BMC Med. Educ. 20(1), 332 (2020). https://doi.org/10.1186/s12909-020-02245-8

    Article  Google Scholar 

  24. Appireddy, R., Jalini, S., Shukla, G., Boissé, L.L.: Tackling the burden of neurological diseases in canada with virtual care during the COVID-19 pandemic and beyond. Can J. Neurol. Sci. 47(5), 594–597 (2020). https://doi.org/10.1017/cjn.2020.92

    Article  Google Scholar 

  25. Anthony Jnr, B.: Use of telemedicine and virtual care for remote treatment in response to COVID-19 pandemic. J. Med. Syst. 44(7), 132 (2020). https://doi.org/10.1007/s10916-020-01596-5

  26. Bokolo, A.J.: Exploring the adoption of telemedicine and virtual software for care of outpatients during and after COVID-19 pandemic. Irish J. Med. Sci. 190(1), 1 (2020). https://doi.org/10.1007/s11845-020-02299-z

    Article  Google Scholar 

  27. Rosen, B., Waitzberg, R., Israeli, A.: Israel’s rapid rollout of vaccinations for COVID-19. Isr J. Health Policy Res. 10, 6 (2021). https://doi.org/10.1186/s13584-021-00440-6

    Article  Google Scholar 

  28. Ait Si Ahmad, H., El Kharki, K., Berrada, K.: Agility of the post COVID-19 strategic plan on distance learning at cadi ayyad university. An opportunity towards a total digital transformation of the university. In: Agrati, L.S., et al. (eds.) HELMeTO 2020. CCIS, vol. 1344, pp. 199–213. Springer, Cham (2021). https://doi.org/10.1007/978-3-030-67435-9_16

    Chapter  Google Scholar 

Download references

Acknowledgments

This research presented herein was partially supported by a research grant from the Research Center, NIDA (National Institute of Development Administration).

Author information

Authors and Affiliations

  1. Graduate School of Communication Arts and Management Innovation, National Institute of Development Administration, 118 SeriThai Rd., Klong-chan, Bangkapi, Bangkok, 10240, Thailand

    Chutisant Kerdvibulvech

  2. School of Electrical Engineering and Telecommunications, University of New South Wales, High St. Kensington, Sydney, NSW, 2052, Australia

    Zhao Yang Dong

Authors
  1. Chutisant Kerdvibulvech
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Zhao Yang Dong
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Chutisant Kerdvibulvech .

Editor information

Editors and Affiliations

  1. University of Creteand Foundation for Research and Technology – Hellas (FORTH), Heraklion, Crete, Greece

    Constantine Stephanidis

  2. The Open University of Japan, Chiba, Japan

    Masaaki Kurosu

  3. U.S. Army Research Laboratory, Aberdeen Proving Ground, MD, USA

    Jessie Y. C. Chen

  4. U.S. Army Combat Capabilities Development Command Soldier Center, Orlando, FL, USA

    Gino Fragomeni

  5. Smart Future Initiative, Frankfurt am Main, Hessen, Germany

    Norbert Streitz

  6. Faculty of Arts and Science, Kyushu University, Fukuoka, Japan

    Shin'ichi Konomi

  7. Siemens (United States), Princeton, NJ, USA

    Helmut Degen

  8. Foundation for Research and Technology – Hellas (FORTH), Heraklion, Crete, Greece

    Stavroula Ntoa

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

Kerdvibulvech, C., Dong, Z.Y. (2021). Roles of Artificial Intelligence and Extended Reality Development in the Post-COVID-19 Era. In: Stephanidis, C., et al. HCI International 2021 - Late Breaking Papers: Multimodality, eXtended Reality, and Artificial Intelligence. HCII 2021. Lecture Notes in Computer Science(), vol 13095. Springer, Cham. https://doi.org/10.1007/978-3-030-90963-5_34

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-90963-5_34

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-90962-8

  • Online ISBN: 978-3-030-90963-5

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation