Exploring Key Considerations for Artificial Intelligence Robots in Home Healthcare Using the Unified Theory of Acceptance and Use of Technology and the Fuzzy Analytical Hierarchy Process Method

Most countries face declining birth rates and an aging population, which makes the persistent healthcare labor shortage a pressing challenge. Introducing artificial intelligence (AI) robots into home healthcare could help address these issues. Exploring the primary considerations for integrating AI...

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Main Authors: Keng-Yu Lin, Kuei-Hu Chang, Yu-Wen Lin, Mei-Jin Wu
Format: Article
Language:English
Published: MDPI AG 2025-01-01
Series:Systems
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Online Access:https://www.mdpi.com/2079-8954/13/1/25
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author Keng-Yu Lin
Kuei-Hu Chang
Yu-Wen Lin
Mei-Jin Wu
author_facet Keng-Yu Lin
Kuei-Hu Chang
Yu-Wen Lin
Mei-Jin Wu
author_sort Keng-Yu Lin
collection DOAJ
description Most countries face declining birth rates and an aging population, which makes the persistent healthcare labor shortage a pressing challenge. Introducing artificial intelligence (AI) robots into home healthcare could help address these issues. Exploring the primary considerations for integrating AI robots in home healthcare has become an urgent topic. However, previous studies have not systematically examined the factors influencing elderly individuals’ adoption of home healthcare AI robots, hindering an understanding of their acceptance and adoption. Furthermore, traditional methods overlook the relative importance of each consideration and cannot manage the ambiguity inherent in subjective human cognition, potentially leading to biased decision-making. To address these limitations, this study employs the unified theory of acceptance and use of technology (UTAUT) as a theoretical framework, integrating the modified Delphi method (MDM) and the fuzzy analytical hierarchy process (FAHP) to identify the key considerations. The research determined the order of importance of four evaluation criteria and fourteen evaluation sub-criteria, revealing that customization, accompany, and subjective norms are key factors that influence elderly individuals’ adoption of home healthcare AI robots.
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spelling doaj-art-a197c9ed4c94481b99a2d744ba8a0a2f2025-01-24T13:50:31ZengMDPI AGSystems2079-89542025-01-011312510.3390/systems13010025Exploring Key Considerations for Artificial Intelligence Robots in Home Healthcare Using the Unified Theory of Acceptance and Use of Technology and the Fuzzy Analytical Hierarchy Process MethodKeng-Yu Lin0Kuei-Hu Chang1Yu-Wen Lin2Mei-Jin Wu3Department of Management Sciences, R.O.C. Military Academy, Kaohsiung 830, TaiwanDepartment of Management Sciences, R.O.C. Military Academy, Kaohsiung 830, TaiwanDepartment of Management Sciences, R.O.C. Military Academy, Kaohsiung 830, TaiwanDepartment of Management Sciences, R.O.C. Military Academy, Kaohsiung 830, TaiwanMost countries face declining birth rates and an aging population, which makes the persistent healthcare labor shortage a pressing challenge. Introducing artificial intelligence (AI) robots into home healthcare could help address these issues. Exploring the primary considerations for integrating AI robots in home healthcare has become an urgent topic. However, previous studies have not systematically examined the factors influencing elderly individuals’ adoption of home healthcare AI robots, hindering an understanding of their acceptance and adoption. Furthermore, traditional methods overlook the relative importance of each consideration and cannot manage the ambiguity inherent in subjective human cognition, potentially leading to biased decision-making. To address these limitations, this study employs the unified theory of acceptance and use of technology (UTAUT) as a theoretical framework, integrating the modified Delphi method (MDM) and the fuzzy analytical hierarchy process (FAHP) to identify the key considerations. The research determined the order of importance of four evaluation criteria and fourteen evaluation sub-criteria, revealing that customization, accompany, and subjective norms are key factors that influence elderly individuals’ adoption of home healthcare AI robots.https://www.mdpi.com/2079-8954/13/1/25artificial intelligence robotshome healthcareunified theory of acceptance and use of technologymodified Delphi methodfuzzy analytical hierarchy process
spellingShingle Keng-Yu Lin
Kuei-Hu Chang
Yu-Wen Lin
Mei-Jin Wu
Exploring Key Considerations for Artificial Intelligence Robots in Home Healthcare Using the Unified Theory of Acceptance and Use of Technology and the Fuzzy Analytical Hierarchy Process Method
Systems
artificial intelligence robots
home healthcare
unified theory of acceptance and use of technology
modified Delphi method
fuzzy analytical hierarchy process
title Exploring Key Considerations for Artificial Intelligence Robots in Home Healthcare Using the Unified Theory of Acceptance and Use of Technology and the Fuzzy Analytical Hierarchy Process Method
title_full Exploring Key Considerations for Artificial Intelligence Robots in Home Healthcare Using the Unified Theory of Acceptance and Use of Technology and the Fuzzy Analytical Hierarchy Process Method
title_fullStr Exploring Key Considerations for Artificial Intelligence Robots in Home Healthcare Using the Unified Theory of Acceptance and Use of Technology and the Fuzzy Analytical Hierarchy Process Method
title_full_unstemmed Exploring Key Considerations for Artificial Intelligence Robots in Home Healthcare Using the Unified Theory of Acceptance and Use of Technology and the Fuzzy Analytical Hierarchy Process Method
title_short Exploring Key Considerations for Artificial Intelligence Robots in Home Healthcare Using the Unified Theory of Acceptance and Use of Technology and the Fuzzy Analytical Hierarchy Process Method
title_sort exploring key considerations for artificial intelligence robots in home healthcare using the unified theory of acceptance and use of technology and the fuzzy analytical hierarchy process method
topic artificial intelligence robots
home healthcare
unified theory of acceptance and use of technology
modified Delphi method
fuzzy analytical hierarchy process
url https://www.mdpi.com/2079-8954/13/1/25
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