{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,23]],"date-time":"2026-01-23T06:41:33Z","timestamp":1769150493045,"version":"3.49.0"},"publisher-location":"Cham","reference-count":28,"publisher":"Springer International Publishing","isbn-type":[{"value":"9783030909628","type":"print"},{"value":"9783030909635","type":"electronic"}],"license":[{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021]]},"DOI":"10.1007\/978-3-030-90963-5_34","type":"book-chapter","created":{"date-parts":[[2021,11,10]],"date-time":"2021-11-10T00:03:40Z","timestamp":1636502620000},"page":"445-454","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":13,"title":["Roles of Artificial Intelligence and Extended Reality Development in the Post-COVID-19 Era"],"prefix":"10.1007","author":[{"given":"Chutisant","family":"Kerdvibulvech","sequence":"first","affiliation":[]},{"given":"Zhao Yang","family":"Dong","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2021,11,11]]},"reference":[{"key":"34_CR1","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"467","DOI":"10.1007\/978-3-030-60117-1_34","volume-title":"HCI International 2020 \u2013 Late Breaking Papers: Multimodality and Intelligence","author":"C Kerdvibulvech","year":"2020","unstructured":"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\u2013476. Springer, Cham (2020). https:\/\/doi.org\/10.1007\/978-3-030-60117-1_34"},{"issue":"5","key":"34_CR2","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1007\/s10916-020-01562-1","volume":"44","author":"KC Santosh","year":"2020","unstructured":"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\u20135 (2020)","journal-title":"J. Med. Syst."},{"key":"34_CR3","doi-asserted-by":"publisher","unstructured":"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","DOI":"10.3390\/jcm9030674"},{"issue":"3","key":"34_CR4","doi-asserted-by":"publisher","first-page":"481","DOI":"10.1007\/s12518-021-00365-4","volume":"13","author":"BM Yahya","year":"2021","unstructured":"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\u2013491 (2021). https:\/\/doi.org\/10.1007\/s12518-021-00365-4","journal-title":"Appl. Geomatics"},{"key":"34_CR5","first-page":"1","volume":"100378","author":"A Imran","year":"2020","unstructured":"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\u201331 (2020)","journal-title":"Inform. Med. Unlocked"},{"key":"34_CR6","doi-asserted-by":"publisher","unstructured":"Zoabi, Y., Deri-Rozov, S., Shomron, N.: Machine learning-based prediction of COVID-19 diagnosis based on symptoms. npj Digit. Med. 4(3), 1\u20135 (2021). https:\/\/doi.org\/10.1038\/s41746-020-00372-6","DOI":"10.1038\/s41746-020-00372-6"},{"key":"34_CR7","doi-asserted-by":"publisher","unstructured":"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","DOI":"10.1101\/2020.04.12.20062661"},{"key":"34_CR8","doi-asserted-by":"crossref","unstructured":"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\u2013297 (2020)","DOI":"10.1038\/s42256-020-0184-3"},{"key":"34_CR9","doi-asserted-by":"crossref","unstructured":"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","DOI":"10.2217\/fvl-2020-0130"},{"issue":"9","key":"34_CR10","first-page":"2761","volume":"7","author":"R Khan","year":"2020","unstructured":"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\u20132774 (2020)","journal-title":"J. Critical Rev."},{"issue":"6","key":"34_CR11","doi-asserted-by":"publisher","first-page":"314","DOI":"10.3390\/info11060314","volume":"11","author":"J Samuel","year":"2020","unstructured":"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)","journal-title":"Information"},{"key":"34_CR12","doi-asserted-by":"publisher","unstructured":"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","DOI":"10.3886\/E120321V5"},{"key":"34_CR13","unstructured":"Francesco, P., Silvio, P., Marco, B., Stefano, C.: VaccinItaly: monitoring Italian conversations around vaccines on Twitter. CoRR abs\/2101.03757 (2021)"},{"issue":"23","key":"34_CR14","doi-asserted-by":"publisher","first-page":"8786","DOI":"10.3390\/ijerph17238786","volume":"17","author":"M Franchini","year":"2020","unstructured":"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)","journal-title":"Int. J. Environ. Res. Public Health"},{"issue":"4","key":"34_CR15","doi-asserted-by":"publisher","first-page":"636","DOI":"10.1007\/s12103-020-09541-5","volume":"45","author":"H Tessler","year":"2020","unstructured":"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\u2013646 (2020). https:\/\/doi.org\/10.1007\/s12103-020-09541-5","journal-title":"Am. J. Crim. Justice"},{"key":"34_CR16","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"351","DOI":"10.1007\/978-3-030-24296-1_29","volume-title":"Computational Science and Its Applications \u2013 ICCSA 2019","author":"C Kerdvibulvech","year":"2019","unstructured":"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\u2013360. Springer, Cham (2019). https:\/\/doi.org\/10.1007\/978-3-030-24296-1_29"},{"key":"34_CR17","doi-asserted-by":"publisher","unstructured":"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","DOI":"10.1080\/13683500.2020.1798896"},{"issue":"6","key":"34_CR18","doi-asserted-by":"publisher","first-page":"753","DOI":"10.1108\/WHATT-07-2020-0073","volume":"12","author":"P Mohanty","year":"2020","unstructured":"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\u2013760 (2020)","journal-title":"Worldwide Hospitality Tourism Themes"},{"key":"34_CR19","series-title":"Communications in Computer and Information Science","doi-asserted-by":"publisher","first-page":"187","DOI":"10.1007\/978-3-030-67435-9_15","volume-title":"Bridges and Mediation in Higher Distance Education","author":"B Bruschi","year":"2021","unstructured":"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\u2013198. Springer, Cham (2021). https:\/\/doi.org\/10.1007\/978-3-030-67435-9_15"},{"issue":"1","key":"34_CR20","doi-asserted-by":"publisher","first-page":"8","DOI":"10.3390\/educsci11010008","volume":"11","author":"K Nesenbergs","year":"2021","unstructured":"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","journal-title":"Educ. Sci."},{"key":"34_CR21","doi-asserted-by":"publisher","unstructured":"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\u20136 (2020). https:\/\/doi.org\/10.1109\/ICIC50835.2020.9288619","DOI":"10.1109\/ICIC50835.2020.9288619"},{"key":"34_CR22","doi-asserted-by":"crossref","unstructured":"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)","DOI":"10.3389\/fmed.2020.629086"},{"issue":"1","key":"34_CR23","doi-asserted-by":"publisher","first-page":"332","DOI":"10.1186\/s12909-020-02245-8","volume":"20","author":"R De Ponti","year":"2020","unstructured":"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\u2019 perception. BMC Med. Educ. 20(1), 332 (2020). https:\/\/doi.org\/10.1186\/s12909-020-02245-8","journal-title":"BMC Med. Educ."},{"issue":"5","key":"34_CR24","doi-asserted-by":"publisher","first-page":"594","DOI":"10.1017\/cjn.2020.92","volume":"47","author":"R Appireddy","year":"2020","unstructured":"Appireddy, R., Jalini, S., Shukla, G., Boiss\u00e9, 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\u2013597 (2020). https:\/\/doi.org\/10.1017\/cjn.2020.92","journal-title":"Can J. Neurol. Sci."},{"key":"34_CR25","doi-asserted-by":"publisher","unstructured":"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","DOI":"10.1007\/s10916-020-01596-5"},{"issue":"1","key":"34_CR26","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1007\/s11845-020-02299-z","volume":"190","author":"AJ Bokolo","year":"2020","unstructured":"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","journal-title":"Irish J. Med. Sci."},{"key":"34_CR27","doi-asserted-by":"publisher","first-page":"6","DOI":"10.1186\/s13584-021-00440-6","volume":"10","author":"B Rosen","year":"2021","unstructured":"Rosen, B., Waitzberg, R., Israeli, A.: Israel\u2019s rapid rollout of vaccinations for COVID-19. Isr J. Health Policy Res. 10, 6 (2021). https:\/\/doi.org\/10.1186\/s13584-021-00440-6","journal-title":"Isr J. Health Policy Res."},{"key":"34_CR28","series-title":"Communications in Computer and Information Science","doi-asserted-by":"publisher","first-page":"199","DOI":"10.1007\/978-3-030-67435-9_16","volume-title":"Bridges and Mediation in Higher Distance Education","author":"H Ait Si Ahmad","year":"2021","unstructured":"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\u2013213. Springer, Cham (2021). https:\/\/doi.org\/10.1007\/978-3-030-67435-9_16"}],"container-title":["Lecture Notes in Computer Science","HCI International 2021 - Late Breaking Papers: Multimodality, eXtended Reality, and Artificial Intelligence"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-90963-5_34","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,11,9]],"date-time":"2025-11-09T23:03:25Z","timestamp":1762729405000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-90963-5_34"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021]]},"ISBN":["9783030909628","9783030909635"],"references-count":28,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-90963-5_34","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021]]},"assertion":[{"value":"11 November 2021","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"HCII","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Human-Computer Interaction","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2021","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"24 July 2021","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"29 July 2021","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"23","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"hcii2021","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/2021.hci.international\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}