首页|Southwestern University of Finance and Economics Reports Findings in Robotics (T he effect of subjective understanding on patients’ trust in AI pharmacy intraven ous admixture services)
Southwestern University of Finance and Economics Reports Findings in Robotics (T he effect of subjective understanding on patients’ trust in AI pharmacy intraven ous admixture services)
扫码查看
点击上方二维码区域，可以放大扫码查看
原文链接
NETL
NSTL
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Robotics is the subjec t of a report. According to news reporting originating in Chengdu, People’s Repu blic of China, by NewsRx journalists, research stated, “Medical services are get ting automated and intelligent. An emerging medical service is the AI pharmacy i ntravenous admixture service (PIVAS) that prepares infusions through robots.” Financial support for this research came from National Social Science Fund of Ch ina. The news reporters obtained a quote from the research from the Southwestern Univ ersity of Finance and Economics, “However, patients may distrust these robots. T herefore, this study aims to investigate the psychological mechanism of patients ’ trust in AI PIVAS. We conducted one field study and four experimental studies to test our hypotheses. Study 1 and 2 investigated patients’ trust of AI PIVAS. Study 3 and 4 examined the effect of subjective understanding on trust in AI PIV AS. Study 5 examined the moderating effect of informed consent. The results indi cated that patients’ reluctance to trust AI PIVAS (Studies 1-2) stems from their lack of subjective understanding (Study 3). Particularly, patients have an illu sion of understanding humans and difficulty in understanding AI (Study 4). In ad dition, informed consent emerges as a moderating factor, which improves patients ’ subjective understanding of AI PIVAS, thereby increasing their trust (Study 5) . The study contributes to the literature on algorithm aversion and cognitive ps ychology by providing insights into the mechanisms and boundary conditions of tr ust in the context of AI PIVAS.”
ChengduPeople’s Republic of ChinaAsi aEmerging TechnologiesMachine LearningNano-robotRobotics
NETL
NSTL
