{"title":"人工智能协同创造工具中的创造力支持:当前研究、挑战和机遇","authors":"Bin Ning, Fang Liu, Zhixiong Liu","doi":"10.1109/CSCWD57460.2023.10152832","DOIUrl":null,"url":null,"abstract":"Artificial Intelligence technology-driven Creativity Support Tools (AI-CSTs) provide specific field capability support for human creative activities. In this paper, we compare and analyze the current situation and trend of AI-CSTs design space in four aspects: creative stage, support form, support technology, and role diversity. Through a coding study and comparative analysis of 50 AI-CSTs cases, we discuss the impact of AI-CSTs on traditional workflows, the boundaries of AI-CSTs as co-creators, and how to treat AI errors, which provides insights for future AI-CSTs design. We summarize the collaboration framework in AI-CSTs. Finally, this paper also studies the information technology requirements and challenges of AI-CSTs research, which provides a new perspective to understanding the landscape of AI-CSTs.","PeriodicalId":51008,"journal":{"name":"Computer Supported Cooperative Work-The Journal of Collaborative Computing","volume":"82 1","pages":"5-10"},"PeriodicalIF":2.0000,"publicationDate":"2023-05-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Creativity Support in AI Co-creative Tools: Current Research, Challenges and Opportunities\",\"authors\":\"Bin Ning, Fang Liu, Zhixiong Liu\",\"doi\":\"10.1109/CSCWD57460.2023.10152832\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Artificial Intelligence technology-driven Creativity Support Tools (AI-CSTs) provide specific field capability support for human creative activities. In this paper, we compare and analyze the current situation and trend of AI-CSTs design space in four aspects: creative stage, support form, support technology, and role diversity. Through a coding study and comparative analysis of 50 AI-CSTs cases, we discuss the impact of AI-CSTs on traditional workflows, the boundaries of AI-CSTs as co-creators, and how to treat AI errors, which provides insights for future AI-CSTs design. We summarize the collaboration framework in AI-CSTs. Finally, this paper also studies the information technology requirements and challenges of AI-CSTs research, which provides a new perspective to understanding the landscape of AI-CSTs.\",\"PeriodicalId\":51008,\"journal\":{\"name\":\"Computer Supported Cooperative Work-The Journal of Collaborative Computing\",\"volume\":\"82 1\",\"pages\":\"5-10\"},\"PeriodicalIF\":2.0000,\"publicationDate\":\"2023-05-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Computer Supported Cooperative Work-The Journal of Collaborative Computing\",\"FirstCategoryId\":\"94\",\"ListUrlMain\":\"https://doi.org/10.1109/CSCWD57460.2023.10152832\",\"RegionNum\":3,\"RegionCategory\":\"计算机科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Computer Supported Cooperative Work-The Journal of Collaborative Computing","FirstCategoryId":"94","ListUrlMain":"https://doi.org/10.1109/CSCWD57460.2023.10152832","RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS","Score":null,"Total":0}
Creativity Support in AI Co-creative Tools: Current Research, Challenges and Opportunities
Artificial Intelligence technology-driven Creativity Support Tools (AI-CSTs) provide specific field capability support for human creative activities. In this paper, we compare and analyze the current situation and trend of AI-CSTs design space in four aspects: creative stage, support form, support technology, and role diversity. Through a coding study and comparative analysis of 50 AI-CSTs cases, we discuss the impact of AI-CSTs on traditional workflows, the boundaries of AI-CSTs as co-creators, and how to treat AI errors, which provides insights for future AI-CSTs design. We summarize the collaboration framework in AI-CSTs. Finally, this paper also studies the information technology requirements and challenges of AI-CSTs research, which provides a new perspective to understanding the landscape of AI-CSTs.
期刊介绍：
Computer Supported Cooperative Work (CSCW): The Journal of Collaborative Computing and Work Practices is devoted to innovative research in computer-supported cooperative work (CSCW). It provides an interdisciplinary and international forum for the debate and exchange of ideas concerning theoretical, practical, technical, and social issues in CSCW.
The CSCW Journal arose in response to the growing interest in the design, implementation and use of technical systems (including computing, information, and communications technologies) which support people working cooperatively, and its scope remains to encompass the multifarious aspects of research within CSCW and related areas.
The CSCW Journal focuses on research oriented towards the development of collaborative computing technologies on the basis of studies of actual cooperative work practices (where ‘work’ is used in the wider sense). That is, it welcomes in particular submissions that (a) report on findings from ethnographic or similar kinds of in-depth fieldwork of work practices with a view to their technological implications, (b) report on empirical evaluations of the use of extant or novel technical solutions under real-world conditions, and/or (c) develop technical or conceptual frameworks for practice-oriented computing research based on previous fieldwork and evaluations.
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