Modeling perceived information needs in human-AI teams: improving AI teammate utility and driving team cognition

IF 2.9 4区管理学 Q2 COMPUTER SCIENCE, CYBERNETICS

Behaviour & Information Technology Pub Date : 2024-08-27 DOI:10.1080/0144929x.2024.2396476

Beau G. Schelble, Christopher Flathmann, Jacob P. Macdonald, Bart Knijnenburg, Camden Brady, Nathan J. McNeese

引用次数: 0

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...

查看原文本刊更多论文

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

随着人工智能技术的发展，团队开始看到人工智能从工具过渡到正式队友。引入人工智能队友会带来一些挑战，从人类队友如何与人工智能队友合作，到人工智能队友如何与人类队友合作......

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

Behaviour & Information Technology 工程技术-计算机：控制论

CiteScore

7.70

自引率

8.10%

发文量

159

审稿时长

5 months

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.