Patient acceptance of medical service robots in the medical intelligence era: an empirical study based on an extended AI device use acceptance model

Abstract In the era of medical intelligence, there are still few studies focusing on medical service robots from a user experience perspective. Guided by the model of artificial intelligence (AI) device use acceptance (AIDUA), this article develops a theoretical model to explain patients’ intention...

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Main Authors: Wenjia Li, Huangyi Ding, Jingjing Gui, Qinghe Tang
Format: Article
Language:English
Published: Springer Nature 2024-11-01
Series:Humanities & Social Sciences Communications
Online Access:https://doi.org/10.1057/s41599-024-04028-8
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author Wenjia Li
Huangyi Ding
Jingjing Gui
Qinghe Tang
author_facet Wenjia Li
Huangyi Ding
Jingjing Gui
Qinghe Tang
author_sort Wenjia Li
collection DOAJ
description Abstract In the era of medical intelligence, there are still few studies focusing on medical service robots from a user experience perspective. Guided by the model of artificial intelligence (AI) device use acceptance (AIDUA), this article develops a theoretical model to explain patients’ intention to use medical service robots at hospitals. The proposed model specifically distinguished the dimensions of anthropomorphic attributes of service robots and further introduces two variables, perceived empathy and interaction experience, as a way to construct a three-stage psychological mechanism for patient acceptance of robots. 400 questionnaires from Chinese patients were collected offline and analyzed using structural equation modeling (SEM). The results revealed that the four attributes of anthropomorphism play a differential influence in performance expectations and effort expectations, but all positively contribute to empathy, which in turn positively affects interaction quality. Interaction quality, performance expectations, and effort expectations all influence patients’ emotions, thus having an impact on patients’ intentions to accept service robots. The findings from this study will assist the healthcare sector in upgrading medical service robots, which will improve patient acceptance of these robots.
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institution Kabale University
issn 2662-9992
language English
publishDate 2024-11-01
publisher Springer Nature
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series Humanities & Social Sciences Communications
spelling doaj-art-f562a3c9624743f3adb2f23c1392e4352024-11-10T12:13:14ZengSpringer NatureHumanities & Social Sciences Communications2662-99922024-11-0111111310.1057/s41599-024-04028-8Patient acceptance of medical service robots in the medical intelligence era: an empirical study based on an extended AI device use acceptance modelWenjia Li0Huangyi Ding1Jingjing Gui2Qinghe Tang3College of Publishing, University of Shanghai for Science and TechnologyCollege of Publishing, University of Shanghai for Science and TechnologyCollege of Publishing, University of Shanghai for Science and TechnologyShanghai East Hospital, School of Medicine, Tongji UniversityAbstract In the era of medical intelligence, there are still few studies focusing on medical service robots from a user experience perspective. Guided by the model of artificial intelligence (AI) device use acceptance (AIDUA), this article develops a theoretical model to explain patients’ intention to use medical service robots at hospitals. The proposed model specifically distinguished the dimensions of anthropomorphic attributes of service robots and further introduces two variables, perceived empathy and interaction experience, as a way to construct a three-stage psychological mechanism for patient acceptance of robots. 400 questionnaires from Chinese patients were collected offline and analyzed using structural equation modeling (SEM). The results revealed that the four attributes of anthropomorphism play a differential influence in performance expectations and effort expectations, but all positively contribute to empathy, which in turn positively affects interaction quality. Interaction quality, performance expectations, and effort expectations all influence patients’ emotions, thus having an impact on patients’ intentions to accept service robots. The findings from this study will assist the healthcare sector in upgrading medical service robots, which will improve patient acceptance of these robots.https://doi.org/10.1057/s41599-024-04028-8
spellingShingle Wenjia Li
Huangyi Ding
Jingjing Gui
Qinghe Tang
Patient acceptance of medical service robots in the medical intelligence era: an empirical study based on an extended AI device use acceptance model
Humanities & Social Sciences Communications
title Patient acceptance of medical service robots in the medical intelligence era: an empirical study based on an extended AI device use acceptance model
title_full Patient acceptance of medical service robots in the medical intelligence era: an empirical study based on an extended AI device use acceptance model
title_fullStr Patient acceptance of medical service robots in the medical intelligence era: an empirical study based on an extended AI device use acceptance model
title_full_unstemmed Patient acceptance of medical service robots in the medical intelligence era: an empirical study based on an extended AI device use acceptance model
title_short Patient acceptance of medical service robots in the medical intelligence era: an empirical study based on an extended AI device use acceptance model
title_sort patient acceptance of medical service robots in the medical intelligence era an empirical study based on an extended ai device use acceptance model
url https://doi.org/10.1057/s41599-024-04028-8
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