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Public Perception and Reception of Robotic Applications in Public Health Emergencies Based on a Questionnaire Survey Conducted during COVID-19

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  • Hui Jiang

    (School of Foreign Languages, Sun Yat-sen University, Guangzhou 510275, China)

  • Lin Cheng

    (Department of German Studies, Institute of Hermeneutics, Guangdong University of Foreign Studies, Guangzhou 510420, China)

Abstract

Various intelligent technologies have been applied during COVID-19, which has become a worldwide public health emergency and brought significant challenges to the medical systems around the world. Notably, the application of robots has played a role in hospitals, quarantine facilities and public spaces and has attracted much attention from the media and the public. This study is based on a questionnaire survey on the perception and reception of robots used for medical care in the pandemic among the Chinese population. A total of 1667 people participated in the survey, 93.6% of respondents were pursuing or had completed a bachelor, master or even doctorate degree. The results show that Chinese people generally held positive attitudes towards “anti-pandemic robots” and affirmed their contribution to reducing the burden of medical care and virus transmission. A few respondents were concerned about the issues of robots replacing humans and it was apparent that their ethical views on robots were not completely consistent across their demographics (e.g., age, industry). Nevertheless, most respondents tended to be optimistic about robot applications and dialectical about the ethical issues involved. This is related to the prominent role robots played during the pandemic, the Chinese public’s expectations of new technologies and technology-friendly public opinion in China. Exploring the perception and reception of anti-pandemic robots in different countries or cultures is important because it can shed some light on the future applications of robots, especially in the field of infectious disease control.

Suggested Citation

  • Hui Jiang & Lin Cheng, 2021. "Public Perception and Reception of Robotic Applications in Public Health Emergencies Based on a Questionnaire Survey Conducted during COVID-19," IJERPH, MDPI, vol. 18(20), pages 1-20, October.
  • Handle: RePEc:gam:jijerp:v:18:y:2021:i:20:p:10908-:d:658335
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    References listed on IDEAS

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    1. Caselli, Mauro & Fracasso, Andrea & Traverso, Silvio, 2021. "Robots and risk of COVID-19 workplace contagion: Evidence from Italy," Technological Forecasting and Social Change, Elsevier, vol. 173(C).
    2. Nam, Taewoo, 2019. "Technology usage, expected job sustainability, and perceived job insecurity," Technological Forecasting and Social Change, Elsevier, vol. 138(C), pages 155-165.
    3. David H. Autor, 2015. "Why Are There Still So Many Jobs? The History and Future of Workplace Automation," Journal of Economic Perspectives, American Economic Association, vol. 29(3), pages 3-30, Summer.
    4. Zeashan Hameed Khan & Afifa Siddique & Chang Won Lee, 2020. "Robotics Utilization for Healthcare Digitization in Global COVID-19 Management," IJERPH, MDPI, vol. 17(11), pages 1-21, May.
    5. Arthur Lau, 2020. "New technologies used in COVID-19 for business survival: Insights from the Hotel Sector in China," Information Technology & Tourism, Springer, vol. 22(4), pages 497-504, December.
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