Beau G. Schelble, Christopher Flathmann, Jacob P. Macdonald, Bart Knijnenburg, Camden Brady, Nathan J. McNeese
{"title":"人类-人工智能团队中的感知信息需求建模：提高人工智能队友的效用并推动团队认知","authors":"Beau G. Schelble, Christopher Flathmann, Jacob P. Macdonald, Bart Knijnenburg, Camden Brady, Nathan J. McNeese","doi":"10.1080/0144929x.2024.2396476","DOIUrl":null,"url":null,"abstract":"As AI technologies advance, teams are beginning to see AI transition from a tool to a full-fledged teammate. Introducing an AI teammate brings several challenges, ranging from how human teammates p...","PeriodicalId":55392,"journal":{"name":"Behaviour & Information Technology","volume":"6 1","pages":""},"PeriodicalIF":2.9000,"publicationDate":"2024-08-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Modeling perceived information needs in human-AI teams: improving AI teammate utility and driving team cognition\",\"authors\":\"Beau G. Schelble, Christopher Flathmann, Jacob P. Macdonald, Bart Knijnenburg, Camden Brady, Nathan J. McNeese\",\"doi\":\"10.1080/0144929x.2024.2396476\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"As AI technologies advance, teams are beginning to see AI transition from a tool to a full-fledged teammate. Introducing an AI teammate brings several challenges, ranging from how human teammates p...\",\"PeriodicalId\":55392,\"journal\":{\"name\":\"Behaviour & Information Technology\",\"volume\":\"6 1\",\"pages\":\"\"},\"PeriodicalIF\":2.9000,\"publicationDate\":\"2024-08-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Behaviour & Information Technology\",\"FirstCategoryId\":\"91\",\"ListUrlMain\":\"https://doi.org/10.1080/0144929x.2024.2396476\",\"RegionNum\":4,\"RegionCategory\":\"管理学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"COMPUTER SCIENCE, CYBERNETICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Behaviour & Information Technology","FirstCategoryId":"91","ListUrlMain":"https://doi.org/10.1080/0144929x.2024.2396476","RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"COMPUTER SCIENCE, CYBERNETICS","Score":null,"Total":0}
Modeling perceived information needs in human-AI teams: improving AI teammate utility and driving team cognition
As AI technologies advance, teams are beginning to see AI transition from a tool to a full-fledged teammate. Introducing an AI teammate brings several challenges, ranging from how human teammates p...
期刊介绍：
Behaviour & Information Technology (BIT) puts people before technology. As such it deviates from other related journals. It is the primary scientific venue for peer-reviewed publications on human-centred IT.
BIT reports original research studies, practical case studies, and thoughtful articles on:
• usability and user experience (UX)
• human computer interaction (HCI)
• human-centred and user-centred design
• the social, business and human aspects of the digital world.
The Journal attracts authors and readers from a variety of disciplines (e.g., usability, user experience, psychology, ergonomics, computer science, and sociology), originating from both academics and industry.
All papers are subject to initial appraisal by the Editor, and, if found suitable for further consideration, will undertake rigorous double blind peer review by independent, anonymous expert referees.
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
