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User Interface Characteristics Influencing Medical Self-service Terminals Behavioural Intention and Acceptance by Chinese Elderly: An Empirical Examination Based on an Extended UTAUT Model
Wu, Q.; Huang, L.; Zong, J. User Interface Characteristics Influencing Medical Self-Service Terminals Behavioral Intention and Acceptance by Chinese Elderly: An Empirical Examination Based on an Extended UTAUT Model. Sustainability2023, 15, 14252.
Wu, Q.; Huang, L.; Zong, J. User Interface Characteristics Influencing Medical Self-Service Terminals Behavioral Intention and Acceptance by Chinese Elderly: An Empirical Examination Based on an Extended UTAUT Model. Sustainability 2023, 15, 14252.
Wu, Q.; Huang, L.; Zong, J. User Interface Characteristics Influencing Medical Self-Service Terminals Behavioral Intention and Acceptance by Chinese Elderly: An Empirical Examination Based on an Extended UTAUT Model. Sustainability2023, 15, 14252.
Wu, Q.; Huang, L.; Zong, J. User Interface Characteristics Influencing Medical Self-Service Terminals Behavioral Intention and Acceptance by Chinese Elderly: An Empirical Examination Based on an Extended UTAUT Model. Sustainability 2023, 15, 14252.
Abstract
Medical Self-service Terminals (MST) offer potential for process optimization and enhanced patient convenience in hospitals, including the elderly. However, the behavioral inclination (BI) of elderly Chinese individuals towards MST adoption remains suboptimal. This study aims to elucidate BI determinants for MST among the aging demographic, focusing on User Interface (UI) attributes within the extended Unified Technology Acceptance and Use Theory (UTAUT) Model. The empirical inquiry examines seven factors, comprising three key UI attributes and four fundamental UTAUT factors. Results reveal significant positive associations of Performance Expectancy (β=0.40, p<0.001), Effort Expectancy (β=0.50, p<0.001), and Social Influence (β=0.25, p<0.05) with BI. Notably, User Interface Design positively correlates with Performance Expectancy (β=0.89, p<0.001) and Effort Expectancy (β=0.81, p<0.001). These findings emphasize the interplay between objective UI attributes and subjective UTAUT determinants. This research enhances understanding of UI's impact on MST BI and acceptance, particularly within the Chinese elderly population, urging MST researchers to prioritize elderly attitudes for effective technological integration in healthcare.
Keywords
Medical Self-service Terminals (MST); Older adults; Unified Technology Acceptance and Use Theory (UTAUT); User interface characteristics
Subject
Public Health and Healthcare, Public Health and Health Services
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
