Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10609/149264
Título : Do People Trust in Robot-Assisted Surgery? Evidence from Europe
Autoría: Torrent-Sellens, Joan  
Jiménez-Zarco, Ana Isabel  
Saigí-Rubió, Francesc  
Citación : Torrent-Sellens, J., Jiménez-Zarco, A. I., & Saigí-Rubió, F. (2021). Do people trust in robot-assisted surgery? Evidence from Europe. International Journal of Environmental Research and Public Health, 18(23), 12519. doi: 10.3390/ijerph182312519
Resumen : (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.
Palabras clave : robot-assisted surgery (RAS)
artificial intelligence (AI)
technology acceptance model (TAM)
logit regression
europe
DOI: https://doi.org/10.3390/ijerph182312519
Tipo de documento: info:eu-repo/semantics/article
Fecha de publicación : 2-dic-2021
Licencia de publicación: https://creativecommons.org/licenses/by/4.0/  
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