2026-10-11T13:18:26Z https://api.figshare.com/v2/oai

oai:figshare.com:article/33952479 2026-09-21T12:25:59Z category_7 category_15 category_16 category_45 category_734 category_106 portal_87 item_type_3 month_year_09_2026

What Makes Generation Z Insist on Using Virtual Nurses? Merging ELM and CASA to Discover the Factors for Continued Use Xinyue Dong (6268559) Danlei Wang (12177236) Huijing Zhang (2898800) Xiaonan Hao (12096954) Kun Li (277035) Medicine Neuroscience Physiology Sociology Biological Sciences not elsewhere classified Science Policy Virtual nurses willingness to continue using generation Z elaboration likelihood model computers are social actors <p>This study investigates psychological mechanisms and key drivers behind Generation Z’s sustained use intentions for virtual nurses, focusing on the trial to sustained use adoption gap. Drawing on the Elaboration Likelihood Model and Computers Are Social Actors framework, 786 valid questionnaires were analyzed via PLS-SEM. Central (information quality, perceived humanness) and peripheral (anthropomorphic appearance, subjective norms) factors positively predicted emotional cognition (<i>β</i> = 0.18–0.269, <i>p</i> < 0.001). Emotional cognition boosted sustained use intention (<i>β</i> = 0.478, <i>p</i> < 0.001) and mediated these associations, while perceived risk significantly attenuated such relationships (<i>p</i> < 0.05). Generation Z’s continued virtual nurse use relies on rational evaluation and emotional resonance. Optimizing perceived humanness, balancing information quality and anthropomorphism, and lowering perceived risk facilitate long-term adoption, offering implications for healthcare amid nursing workforce shortages.</p> 2026-09-21T12:25:59Z Dataset Dataset 10.6084/m9.figshare.33952479.v1 https://figshare.com/articles/dataset/What_Makes_Generation_Z_Insist_on_Using_Virtual_Nurses_Merging_ELM_and_CASA_to_Discover_the_Factors_for_Continued_Use/33952479 CC BY 4.0