{"title":"个人医疗保健数字助理可信度研究综述","authors":"Tania Bailoni, Mauro Dragoni","doi":"10.1145/3714999","DOIUrl":null,"url":null,"abstract":"Artificial Intelligence (AI) is widely used within the healthcare domain. One of the branches of digital health concerns the design and development of digital assistant solutions. AI-enabled digital assistants highlighted the need to be trustworthy given their intrusiveness within people’s lives. Such solutions aim to provide intelligent tools to ease the management of care pathways or to enhance the capabilities of healthcare organizations in deploying health prevention campaigns by monitoring the lifestyles of healthy people. In this work, we intend to analyze the recent literature concerning integrating AI techniques within digital assistants. We focused on the contribution published during the last ten years and we performed a careful analysis of whether and how trustworthy pillars have been addressed. We also discuss the risks of designing digital assistants without considering trustworthy pillars and present some recommendations to mitigate them.","PeriodicalId":50926,"journal":{"name":"ACM Computing Surveys","volume":"6 1","pages":""},"PeriodicalIF":23.8000,"publicationDate":"2025-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A Review on Trustworthiness of Digital Assistants for Personal Healthcare\",\"authors\":\"Tania Bailoni, Mauro Dragoni\",\"doi\":\"10.1145/3714999\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Artificial Intelligence (AI) is widely used within the healthcare domain. One of the branches of digital health concerns the design and development of digital assistant solutions. AI-enabled digital assistants highlighted the need to be trustworthy given their intrusiveness within people’s lives. Such solutions aim to provide intelligent tools to ease the management of care pathways or to enhance the capabilities of healthcare organizations in deploying health prevention campaigns by monitoring the lifestyles of healthy people. In this work, we intend to analyze the recent literature concerning integrating AI techniques within digital assistants. We focused on the contribution published during the last ten years and we performed a careful analysis of whether and how trustworthy pillars have been addressed. We also discuss the risks of designing digital assistants without considering trustworthy pillars and present some recommendations to mitigate them.\",\"PeriodicalId\":50926,\"journal\":{\"name\":\"ACM Computing Surveys\",\"volume\":\"6 1\",\"pages\":\"\"},\"PeriodicalIF\":23.8000,\"publicationDate\":\"2025-01-22\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"ACM Computing Surveys\",\"FirstCategoryId\":\"94\",\"ListUrlMain\":\"https://doi.org/10.1145/3714999\",\"RegionNum\":1,\"RegionCategory\":\"计算机科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"COMPUTER SCIENCE, THEORY & METHODS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACM Computing Surveys","FirstCategoryId":"94","ListUrlMain":"https://doi.org/10.1145/3714999","RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMPUTER SCIENCE, THEORY & METHODS","Score":null,"Total":0}
A Review on Trustworthiness of Digital Assistants for Personal Healthcare
Artificial Intelligence (AI) is widely used within the healthcare domain. One of the branches of digital health concerns the design and development of digital assistant solutions. AI-enabled digital assistants highlighted the need to be trustworthy given their intrusiveness within people’s lives. Such solutions aim to provide intelligent tools to ease the management of care pathways or to enhance the capabilities of healthcare organizations in deploying health prevention campaigns by monitoring the lifestyles of healthy people. In this work, we intend to analyze the recent literature concerning integrating AI techniques within digital assistants. We focused on the contribution published during the last ten years and we performed a careful analysis of whether and how trustworthy pillars have been addressed. We also discuss the risks of designing digital assistants without considering trustworthy pillars and present some recommendations to mitigate them.
期刊介绍:
ACM Computing Surveys is an academic journal that focuses on publishing surveys and tutorials on various areas of computing research and practice. The journal aims to provide comprehensive and easily understandable articles that guide readers through the literature and help them understand topics outside their specialties. In terms of impact, CSUR has a high reputation with a 2022 Impact Factor of 16.6. It is ranked 3rd out of 111 journals in the field of Computer Science Theory & Methods.
ACM Computing Surveys is indexed and abstracted in various services, including AI2 Semantic Scholar, Baidu, Clarivate/ISI: JCR, CNKI, DeepDyve, DTU, EBSCO: EDS/HOST, and IET Inspec, among others.