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Title:Using structural equation modeling to explore patients’ and healthcare professionals’ expectations and attitudes towards socially assistive humanoid robots in nursing and care routine
Authors:ID Mlakar, Izidor (Author)
ID Smrke, Urška (Author)
ID Flis, Vojko (Author)
ID Kobilica, Nina (Author)
ID Horvat, Samo (Author)
ID Ilijevec, Bojan (Author)
ID Musil, Bojan (Author)
ID Plohl, Nejc (Author)
Files:.pdf s12369-023-01039-4.pdf (1,74 MB)
MD5: 241FD2CE52614066F5DFD93704D0D012
 
URL https://link.springer.com/article/10.1007/s12369-023-01039-4
 
Language:English
Work type:Article
Typology:1.01 - Original Scientific Article
Organization:FERI - Faculty of Electrical Engineering and Computer Science
FF - Faculty of Arts
Abstract:Healthcare systems around the world are currently witnessing various challenges, including population aging and workforce shortages. As a result, the existing, overworked staff are struggling to meet the ever-increasing demands and provide the desired quality of care. One of the promising technological solutions that could complement the human workforce and alleviate some of their workload, are socially assistive humanoid robots. However, despite their potential, the implementation of socially assistive humanoid robots is often challenging due to low acceptance among key stakeholders, namely, patients and healthcare professionals. Hence, the present study first investigated the extent to which these stakeholders accept the use of socially assistive humanoid robots in nursing and care routine, and second, explored the characteristics that contribute to higher/lower acceptance within these groups, with a particular emphasis on demographic variables, technology expectations, ethical acceptability, and negative attitudes. In study 1, conducted on a sample of 490 healthcare professionals, the results of structural equation modeling showed that acceptance is driven primarily by aspects of ethical acceptability, although education and technology expectations also exert an indirect effect. In study 2, conducted on a sample of 371 patients, expectations regarding capabilities and attitudes towards the social influence of robots emerged as important predictors of acceptance. Moreover, although acceptance rates differed between tasks, both studies show a relatively high acceptance of socially assistive humanoid robots. Despite certain limitations, the study findings provide essential knowledge that enhances our understanding of stakeholders’ perceptions and acceptance of socially assistive humanoid robots in hospital environments, and may guide their deployment.
Keywords:socially assistive humanoid robots, attitudes, expectations, patients, healthcare professionals
Publication status:Published
Publication version:Version of Record
Article acceptance date:02.08.2023
Publication date:15.09.2023
Publisher:Springer Netherlands
Year of publishing:2023
Number of pages:str. [1-20]
PID:20.500.12556/DKUM-89090 New window
UDC:007.52:2-446
ISSN on article:1875-4805
COBISS.SI-ID:165398531 New window
DOI:10.1007/s12369-023-01039-4 New window
Copyright:© The Author(s) 2023
Publication date in DKUM:12.06.2024
Views:166
Downloads:15
Metadata:XML DC-XML DC-RDF
Categories:Misc.
:
MLAKAR, Izidor, SMRKE, Urška, FLIS, Vojko, KOBILICA, Nina, HORVAT, Samo, ILIJEVEC, Bojan, MUSIL, Bojan and PLOHL, Nejc, 2023, Using structural equation modeling to explore patients’ and healthcare professionals’ expectations and attitudes towards socially assistive humanoid robots in nursing and care routine. International journal of social robotics [online]. 2023. P. 1–20. [Accessed 23 April 2025]. DOI 10.1007/s12369-023-01039-4. Retrieved from: https://dk.um.si/IzpisGradiva.php?lang=eng&id=89090
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Record is a part of a journal

Title:International journal of social robotics
Publisher:Springer Netherlands
ISSN:1875-4805
COBISS.SI-ID:517624089 New window

Document is financed by a project

Funder:EC - European Commission
Project number:101016834
Name:Hospital Smart development based on AI
Acronym:HosmartAI

Licences

License:CC BY 4.0, Creative Commons Attribution 4.0 International
Link:http://creativecommons.org/licenses/by/4.0/
Description:This is the standard Creative Commons license that gives others maximum freedom to do what they want with the work as long as they credit the author.

Secondary language

Language:Slovenian
Keywords:socialni roboti, stališča, pričakovanja, pacienti, zdravstveno osebje


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