IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v18y2021i23p12519-d689846.html
   My bibliography  Save this article

Do People Trust in Robot-Assisted Surgery? Evidence from Europe

Author

Listed:
  • Joan Torrent-Sellens

    (Faculty of Economics and Business Studies, Universitat Oberta de Catalunya (UOC), 08018 Barcelona, Spain
    Interdisciplinary Research Group on ICTs, 08018 Barcelona, Spain)

  • Ana Isabel Jiménez-Zarco

    (Faculty of Economics and Business Studies, Universitat Oberta de Catalunya (UOC), 08018 Barcelona, Spain
    Interdisciplinary Research Group on ICTs, 08018 Barcelona, Spain)

  • Francesc Saigí-Rubió

    (Interdisciplinary Research Group on ICTs, 08018 Barcelona, Spain
    Faculty of Health Sciences, Universitat Oberta de Catalunya (UOC), 08018 Barcelona, Spain)

Abstract

(1) Background: The goal of the paper was to establish the factors that influence how people feel about having a medical operation performed on them by a robot. (2) Methods: Data were obtained from a 2017 Flash Eurobarometer (number 460) of the European Commission with 27,901 citizens aged 15 years and over in the 28 countries of the European Union. Logistic regression (odds ratios, OR) to model the predictors of trust in robot-assisted surgery was calculated through motivational factors, using experience and sociodemographic independent variables. (3) Results: The results obtained indicate that, as the experience of using robots increases, the predictive coefficients related to information, attitude, and perception of robots become more negative. Furthermore, sociodemographic variables played an important predictive role. The effect of experience on trust in robots for surgical interventions was greater among men, people between 40 and 54 years old, and those with higher educational levels. (4) Conclusions: The results show that trust in robots goes beyond rational decision-making, since the final decision about whether it should be a robot that performs a complex procedure like a surgical intervention depends almost exclusively on the patient’s wishes.

Suggested Citation

  • Joan Torrent-Sellens & Ana Isabel Jiménez-Zarco & Francesc Saigí-Rubió, 2021. "Do People Trust in Robot-Assisted Surgery? Evidence from Europe," IJERPH, MDPI, vol. 18(23), pages 1-20, November.
  • Handle: RePEc:gam:jijerp:v:18:y:2021:i:23:p:12519-:d:689846
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/18/23/12519/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1660-4601/18/23/12519/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Daron Acemoglu & Pascual Restrepo, 2020. "The wrong kind of AI? Artificial intelligence and the future of labour demand," Cambridge Journal of Regions, Economy and Society, Cambridge Political Economy Society, vol. 13(1), pages 25-35.
    2. Manuel Trajtenberg, 2018. "Artificial Intelligence as the Next GPT: A Political-Economy Perspective," NBER Chapters, in: The Economics of Artificial Intelligence: An Agenda, pages 175-186, National Bureau of Economic Research, Inc.
    3. Trajtenberg, Manuel, 2018. "AI as the next GPT: a Political-Economy Perspective," CEPR Discussion Papers 12721, C.E.P.R. Discussion Papers.
    4. Michael Wehner & Ryan L. Truby & Daniel J. Fitzgerald & Bobak Mosadegh & George M. Whitesides & Jennifer A. Lewis & Robert J. Wood, 2016. "An integrated design and fabrication strategy for entirely soft, autonomous robots," Nature, Nature, vol. 536(7617), pages 451-455, August.
    5. Diane E. Bailey & Paul M. Leonardi & Stephen R. Barley, 2012. "The Lure of the Virtual," Organization Science, INFORMS, vol. 23(5), pages 1485-1504, October.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Jorge de Andres-Sanchez & Ala Ali Almahameed & Mario Arias-Oliva & Jorge Pelegrin-Borondo, 2022. "Correlational and Configurational Analysis of Factors Influencing Potential Patients’ Attitudes toward Surgical Robots: A Study in the Jordan University Community," Mathematics, MDPI, vol. 10(22), pages 1-16, November.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Venturini, Francesco, 2022. "Intelligent technologies and productivity spillovers: Evidence from the Fourth Industrial Revolution," Journal of Economic Behavior & Organization, Elsevier, vol. 194(C), pages 220-243.
    2. Ajay Agrawal & Joshua Gans & Avi Goldfarb, 2019. "Economic Policy for Artificial Intelligence," Innovation Policy and the Economy, University of Chicago Press, vol. 19(1), pages 139-159.
    3. Daniel Nepelski & Maciej Sobolewski, 2020. "Estimating investments in General Purpose Technologies. The case of AI Investments in Europe," JRC Research Reports JRC118953, Joint Research Centre.
    4. Nazareno, Luísa & Schiff, Daniel S., 2021. "The impact of automation and artificial intelligence on worker well-being," Technology in Society, Elsevier, vol. 67(C).
    5. Aránzazu Guillán Montero & David Le Blanc, 2019. "Lessons for Today from Past Periods of Rapid Technological Change," Working Papers 158, United Nations, Department of Economics and Social Affairs.
    6. Benjamin Laufer & Jon Kleinberg & Hoda Heidari, 2023. "Fine-Tuning Games: Bargaining and Adaptation for General-Purpose Models," Papers 2308.04399, arXiv.org, revised Aug 2023.
    7. Camiña, Ester & Díaz-Chao, Ángel & Torrent-Sellens, Joan, 2020. "Automation technologies: Long-term effects for Spanish industrial firms," Technological Forecasting and Social Change, Elsevier, vol. 151(C).
    8. Tie Mei & Zhiqiang Meng & Kejie Zhao & Chang Qing Chen, 2021. "A mechanical metamaterial with reprogrammable logical functions," Nature Communications, Nature, vol. 12(1), pages 1-11, December.
    9. Aaltonen, Aleksi Ville & Alaimo, Cristina & Kallinikos, Jannis, 2021. "The making of data commodities: data analytics as an embedded process," LSE Research Online Documents on Economics 110296, London School of Economics and Political Science, LSE Library.
    10. Stefano Bianchini & Moritz Müller & Pierre Pelletier, 2022. "Artificial intelligence in science: An emerging general method of invention," Post-Print hal-03958025, HAL.
    11. Evangelos Katsamakas & Oleg V. Pavlov & Ryan Saklad, 2024. "Artificial intelligence and the transformation of higher education institutions," Papers 2402.08143, arXiv.org.
    12. Janine Berg & Francis Green & Laura Nurski & David A Spencer, 2023. "Risks to job quality from digital technologies: Are industrial relations in Europe ready for the challenge?," European Journal of Industrial Relations, , vol. 29(4), pages 347-365, December.
    13. Lee, Chien-Chiang & Qin, Shuai & Li, Yaya, 2022. "Does industrial robot application promote green technology innovation in the manufacturing industry?," Technological Forecasting and Social Change, Elsevier, vol. 183(C).
    14. Kristina McElheran & J. Frank Li & Erik Brynjolfsson & Zachary Kroff & Emin Dinlersoz & Lucia Foster & Nikolas Zolas, 2024. "AI adoption in America: Who, what, and where," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 33(2), pages 375-415, March.
    15. Montobbio, Fabio & Staccioli, Jacopo & Virgillito, Maria Enrica & Vivarelli, Marco, 2022. "Robots and the origin of their labour-saving impact," Technological Forecasting and Social Change, Elsevier, vol. 174(C).
    16. Savona, María, 2020. "A “new normal” as a “new essential”? COVID-19, digital transformations and employment structures," Revista CEPAL, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL), December.
    17. Vasiliki Koniakou, 2023. "From the “rush to ethics” to the “race for governance” in Artificial Intelligence," Information Systems Frontiers, Springer, vol. 25(1), pages 71-102, February.
    18. Cheng, Quanbao & Zhou, Lin & Du, Changshen & Li, Kai, 2022. "A light-fueled self-oscillating liquid crystal elastomer balloon with self-shading effect," Chaos, Solitons & Fractals, Elsevier, vol. 155(C).
    19. Tommaso Ciarli & Mattia Di Ubaldo & Maria Savona, 2019. "Innovation and Self-Employment," SPRU Working Paper Series 2019-17, SPRU - Science Policy Research Unit, University of Sussex Business School.
    20. Fulian Li & Wuwei Zhang, 2023. "Research on the Effect of Digital Economy on Agricultural Labor Force Employment and Its Relationship Using SEM and fsQCA Methods," Agriculture, MDPI, vol. 13(3), pages 1-17, February.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijerp:v:18:y:2021:i:23:p:12519-:d:689846. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.