{"title":"类人护士机器人在普通病房、产科和新生儿病房的代际观点。","authors":"Özen İnam, Yahya Kahvecioğlu","doi":"10.1177/09697330251339416","DOIUrl":null,"url":null,"abstract":"<p><p>BackgroundThis study explores intergenerational perspectives on the use of humanoid nurse robots in healthcare settings, recognizing the increasing relevance of robotic technologies and associated ethical, emotional, and privacy concerns.Research aimThe study aims to assess acceptance levels, concerns, and expectations regarding humanoid nurse robots among Generations X, Y, and Z.Research designA mixed-method design combining quantitative survey analysis and qualitative interviews was employed.Participants and research contextThe study was conducted in Türkiye with 45 participants: 15 from Generation X (1965-1980), 15 from Generation Y (1981-1996), and 15 from Generation Z (1997-2012). Visual scenarios depicting robotic nurse applications were used during data collection.Ethical considerationsThe research obtained ethical approval from the Maltepe University Ethics Committee with the decision number 2024/23-02, issued during the meeting held on December 12, 2024 (Meeting No: 2024/23). Informed consent was obtained from all participants, and confidentiality and voluntary participation were ensured.FindingsQuantitative findings showed that Generations Y and Z were more accepting of robots in technical tasks, whereas Generation X expressed skepticism, especially in emergency care roles. Privacy concerns were high across all groups (mean = 4.2). Qualitative interviews revealed that 75% of participants were skeptical about robots' lack of empathy and strongly opposed their use in birth and neonatal care, emphasizing that these emotionally sensitive areas require the compassionate presence and emotional intelligence of human nurses.Conclusions: Cultural and generational characteristics significantly affect the acceptance of humanoid nurse robots. Targeted education, stronger data privacy frameworks, and emotionally intelligent human-robot interaction strategies are essential for successful integration into healthcare. The study confirms the Robot Anxiety Scale's validity and reliability in the Turkish context.</p>","PeriodicalId":49729,"journal":{"name":"Nursing Ethics","volume":" ","pages":"9697330251339416"},"PeriodicalIF":2.9000,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Intergenerational views on humanoid nurse robots in general wards, obstetrics and neonatal units.\",\"authors\":\"Özen İnam, Yahya Kahvecioğlu\",\"doi\":\"10.1177/09697330251339416\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>BackgroundThis study explores intergenerational perspectives on the use of humanoid nurse robots in healthcare settings, recognizing the increasing relevance of robotic technologies and associated ethical, emotional, and privacy concerns.Research aimThe study aims to assess acceptance levels, concerns, and expectations regarding humanoid nurse robots among Generations X, Y, and Z.Research designA mixed-method design combining quantitative survey analysis and qualitative interviews was employed.Participants and research contextThe study was conducted in Türkiye with 45 participants: 15 from Generation X (1965-1980), 15 from Generation Y (1981-1996), and 15 from Generation Z (1997-2012). Visual scenarios depicting robotic nurse applications were used during data collection.Ethical considerationsThe research obtained ethical approval from the Maltepe University Ethics Committee with the decision number 2024/23-02, issued during the meeting held on December 12, 2024 (Meeting No: 2024/23). Informed consent was obtained from all participants, and confidentiality and voluntary participation were ensured.FindingsQuantitative findings showed that Generations Y and Z were more accepting of robots in technical tasks, whereas Generation X expressed skepticism, especially in emergency care roles. Privacy concerns were high across all groups (mean = 4.2). Qualitative interviews revealed that 75% of participants were skeptical about robots' lack of empathy and strongly opposed their use in birth and neonatal care, emphasizing that these emotionally sensitive areas require the compassionate presence and emotional intelligence of human nurses.Conclusions: Cultural and generational characteristics significantly affect the acceptance of humanoid nurse robots. Targeted education, stronger data privacy frameworks, and emotionally intelligent human-robot interaction strategies are essential for successful integration into healthcare. The study confirms the Robot Anxiety Scale's validity and reliability in the Turkish context.</p>\",\"PeriodicalId\":49729,\"journal\":{\"name\":\"Nursing Ethics\",\"volume\":\" \",\"pages\":\"9697330251339416\"},\"PeriodicalIF\":2.9000,\"publicationDate\":\"2025-06-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Nursing Ethics\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1177/09697330251339416\",\"RegionNum\":1,\"RegionCategory\":\"哲学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ETHICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Nursing Ethics","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1177/09697330251339416","RegionNum":1,"RegionCategory":"哲学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ETHICS","Score":null,"Total":0}
Intergenerational views on humanoid nurse robots in general wards, obstetrics and neonatal units.
BackgroundThis study explores intergenerational perspectives on the use of humanoid nurse robots in healthcare settings, recognizing the increasing relevance of robotic technologies and associated ethical, emotional, and privacy concerns.Research aimThe study aims to assess acceptance levels, concerns, and expectations regarding humanoid nurse robots among Generations X, Y, and Z.Research designA mixed-method design combining quantitative survey analysis and qualitative interviews was employed.Participants and research contextThe study was conducted in Türkiye with 45 participants: 15 from Generation X (1965-1980), 15 from Generation Y (1981-1996), and 15 from Generation Z (1997-2012). Visual scenarios depicting robotic nurse applications were used during data collection.Ethical considerationsThe research obtained ethical approval from the Maltepe University Ethics Committee with the decision number 2024/23-02, issued during the meeting held on December 12, 2024 (Meeting No: 2024/23). Informed consent was obtained from all participants, and confidentiality and voluntary participation were ensured.FindingsQuantitative findings showed that Generations Y and Z were more accepting of robots in technical tasks, whereas Generation X expressed skepticism, especially in emergency care roles. Privacy concerns were high across all groups (mean = 4.2). Qualitative interviews revealed that 75% of participants were skeptical about robots' lack of empathy and strongly opposed their use in birth and neonatal care, emphasizing that these emotionally sensitive areas require the compassionate presence and emotional intelligence of human nurses.Conclusions: Cultural and generational characteristics significantly affect the acceptance of humanoid nurse robots. Targeted education, stronger data privacy frameworks, and emotionally intelligent human-robot interaction strategies are essential for successful integration into healthcare. The study confirms the Robot Anxiety Scale's validity and reliability in the Turkish context.
期刊介绍:
Nursing Ethics takes a practical approach to this complex subject and relates each topic to the working environment. The articles on ethical and legal issues are written in a comprehensible style and official documents are analysed in a user-friendly way. The international Editorial Board ensures the selection of a wide range of high quality articles of global significance.