{"title":"工业 5.0 智能数字沉浸式系统的人本系统宣言:文化遗产案例研究","authors":"Cian Murphy, Peter J. Carew, Larry Stapleton","doi":"10.1007/s00146-023-01693-2","DOIUrl":null,"url":null,"abstract":"<div><p>Emergent digital technologies provide cultural heritage spaces with the opportunity to reassess their current user journey. An immersive user experience can be developed that is innovative, dynamic, and customised for each attendee. Museums have already begun to move towards interactive exhibitions utilising Artificial Intelligence (AI) and the Internet of Things (IOT), and more recently, the use of Virtual Reality (VR) and Augmented Reality (AR) has become more common in cultural heritage spaces to present items of historical significance. VR concentrates on the provision of full immersion within a digitised environment utilising a headset, whilst AR focuses on the inclusion of digitised content within the existing physical environment that can be accessed through a medium such as a mobile phone application. Machine learning techniques such as a recommender system can support an immersive user journey by issuing personalised recommendations regarding a user’s preferred future content based on their previous activity. An ethical approach is necessary to take the precautions required to protect the welfare of human participants and eliminate any aspect of stereotyping or biased behaviour. This paper sets out a human-centred manifesto intended to provide guidance when inducing smart digital immersion in cultural heritage spaces. A review of existing digital cultural heritage projects was conducted to determine their adherence to the manifesto with the findings indicating that Education was a primary focus across all projects and that Personalisation, Respect and Empathy, and Support were also highly valued. Additionally, the findings indicated that there were areas with room for improvement such as Fairness to ensure that a well-balanced human-centred system is implemented.</p></div>","PeriodicalId":47165,"journal":{"name":"AI & Society","volume":"39 5","pages":"2401 - 2416"},"PeriodicalIF":2.9000,"publicationDate":"2023-05-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A human-centred systems manifesto for smart digital immersion in Industry 5.0: a case study of cultural heritage\",\"authors\":\"Cian Murphy, Peter J. 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Machine learning techniques such as a recommender system can support an immersive user journey by issuing personalised recommendations regarding a user’s preferred future content based on their previous activity. An ethical approach is necessary to take the precautions required to protect the welfare of human participants and eliminate any aspect of stereotyping or biased behaviour. This paper sets out a human-centred manifesto intended to provide guidance when inducing smart digital immersion in cultural heritage spaces. A review of existing digital cultural heritage projects was conducted to determine their adherence to the manifesto with the findings indicating that Education was a primary focus across all projects and that Personalisation, Respect and Empathy, and Support were also highly valued. Additionally, the findings indicated that there were areas with room for improvement such as Fairness to ensure that a well-balanced human-centred system is implemented.</p></div>\",\"PeriodicalId\":47165,\"journal\":{\"name\":\"AI & Society\",\"volume\":\"39 5\",\"pages\":\"2401 - 2416\"},\"PeriodicalIF\":2.9000,\"publicationDate\":\"2023-05-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"AI & Society\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://link.springer.com/article/10.1007/s00146-023-01693-2\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"AI & Society","FirstCategoryId":"1085","ListUrlMain":"https://link.springer.com/article/10.1007/s00146-023-01693-2","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE","Score":null,"Total":0}
A human-centred systems manifesto for smart digital immersion in Industry 5.0: a case study of cultural heritage
Emergent digital technologies provide cultural heritage spaces with the opportunity to reassess their current user journey. An immersive user experience can be developed that is innovative, dynamic, and customised for each attendee. Museums have already begun to move towards interactive exhibitions utilising Artificial Intelligence (AI) and the Internet of Things (IOT), and more recently, the use of Virtual Reality (VR) and Augmented Reality (AR) has become more common in cultural heritage spaces to present items of historical significance. VR concentrates on the provision of full immersion within a digitised environment utilising a headset, whilst AR focuses on the inclusion of digitised content within the existing physical environment that can be accessed through a medium such as a mobile phone application. Machine learning techniques such as a recommender system can support an immersive user journey by issuing personalised recommendations regarding a user’s preferred future content based on their previous activity. An ethical approach is necessary to take the precautions required to protect the welfare of human participants and eliminate any aspect of stereotyping or biased behaviour. This paper sets out a human-centred manifesto intended to provide guidance when inducing smart digital immersion in cultural heritage spaces. A review of existing digital cultural heritage projects was conducted to determine their adherence to the manifesto with the findings indicating that Education was a primary focus across all projects and that Personalisation, Respect and Empathy, and Support were also highly valued. Additionally, the findings indicated that there were areas with room for improvement such as Fairness to ensure that a well-balanced human-centred system is implemented.
AI & SocietyCOMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE-
CiteScore
8.00
自引率
20.00%
发文量
257
期刊介绍:
AI & Society: Knowledge, Culture and Communication, is an International Journal publishing refereed scholarly articles, position papers, debates, short communications, and reviews of books and other publications. Established in 1987, the Journal focuses on societal issues including the design, use, management, and policy of information, communications and new media technologies, with a particular emphasis on cultural, social, cognitive, economic, ethical, and philosophical implications.
AI & Society has a broad scope and is strongly interdisciplinary. We welcome contributions and participation from researchers and practitioners in a variety of fields including information technologies, humanities, social sciences, arts and sciences. This includes broader societal and cultural impacts, for example on governance, security, sustainability, identity, inclusion, working life, corporate and community welfare, and well-being of people. Co-authored articles from diverse disciplines are encouraged.
AI & Society seeks to promote an understanding of the potential, transformative impacts and critical consequences of pervasive technology for societies. Technological innovations, including new sciences such as biotech, nanotech and neuroscience, offer a great potential for societies, but also pose existential risk. Rooted in the human-centred tradition of science and technology, the Journal acts as a catalyst, promoter and facilitator of engagement with diversity of voices and over-the-horizon issues of arts, science, technology and society.
AI & Society expects that, in keeping with the ethos of the journal, submissions should provide a substantial and explicit argument on the societal dimension of research, particularly the benefits, impacts and implications for society. This may include factors such as trust, biases, privacy, reliability, responsibility, and competence of AI systems. Such arguments should be validated by critical comment on current research in this area. Curmudgeon Corner will retain its opinionated ethos.
The journal is in three parts: a) full length scholarly articles; b) strategic ideas, critical reviews and reflections; c) Student Forum is for emerging researchers and new voices to communicate their ongoing research to the wider academic community, mentored by the Journal Advisory Board; Book Reviews and News; Curmudgeon Corner for the opinionated.
Papers in the Original Section may include original papers, which are underpinned by theoretical, methodological, conceptual or philosophical foundations. The Open Forum Section may include strategic ideas, critical reviews and potential implications for society of current research. Network Research Section papers make substantial contributions to theoretical and methodological foundations within societal domains. These will be multi-authored papers that include a summary of the contribution of each author to the paper. Original, Open Forum and Network papers are peer reviewed. The Student Forum Section may include theoretical, methodological, and application orientations of ongoing research including case studies, as well as, contextual action research experiences. Papers in this section are normally single-authored and are also formally reviewed. Curmudgeon Corner is a short opinionated column on trends in technology, arts, science and society, commenting emphatically on issues of concern to the research community and wider society. Normal word length: Original and Network Articles 10k, Open Forum 8k, Student Forum 6k, Curmudgeon 1k. The exception to the co-author limit of Original and Open Forum (4), Network (10), Student (3) and Curmudgeon (2) articles will be considered for their special contributions.
Please do not send your submissions by email but use the "Submit manuscript" button.
NOTE TO AUTHORS: The Journal expects its authors to include, in their submissions:
a) An acknowledgement of the pre-accept/pre-publication versions of their manuscripts on non-commercial and academic sites.
b) Images: obtain permissions from the copyright holder/original sources.
c) Formal permission from their ethics committees when conducting studies with people.