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Teaming Up With Intelligent Agents : A Work System Perspective on the Collaboration with Intelligent Agents

Title data

Aaron, Jakob ; Schüll, Moritz ; Hofmann, Peter ; Urbach, Nils:
Teaming Up With Intelligent Agents : A Work System Perspective on the Collaboration with Intelligent Agents.
In: Proceedings of the 32nd European Conference on Information Systems (ECIS). - Paphos, Cyprus , 2024

Official URL: Volltext

Project information

Project title:
Project's official title
Project's id
Fraunhofer Blockchain Center
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Abstract in another language

Intelligent agents may become our co-workers. As intelligent agents powered by agentic information systems are acquiring more capabilities, humans consider teaming up with them in ever more circumstances. However, research and practice still face major uncertainties and difficulties when implementing intelligent agents into work systems together with humans. We address the lack of guidance on how to design work systems in which human and intelligent agents can collaborate, by investigating the central aspects that describe the collaboration of human and intelligent agents in work systems. We do so by building on a literature review on human-robot interaction and taking the work system perspective. This results in two contributions. First, we identify 16 important design dimensions of collaboration between human and intelligent agents. Second, we assemble these dimensions into a task-related framework that highlights specific design parameters and important considerations when designing work systems where human and intelligent agents collaborate.

Further data

Item Type: Article in a book
Refereed: Yes
Keywords: Human-AI Collaboration; Intelligent Agents; Artificial Intelligence; Work System
Institutions of the University: Faculties > Faculty of Law, Business and Economics > Department of Business Administration
Research Institutions
Research Institutions > Affiliated Institutes
Research Institutions > Affiliated Institutes > Branch Business and Information Systems Engineering of Fraunhofer FIT
Research Institutions > Affiliated Institutes > FIM Research Center for Information Management
Faculties
Faculties > Faculty of Law, Business and Economics
Result of work at the UBT: Yes
DDC Subjects: 000 Computer Science, information, general works > 004 Computer science
300 Social sciences > 330 Economics
Date Deposited: 14 Aug 2024 10:24
Last Modified: 31 Oct 2024 12:10
URI: https://eref.uni-bayreuth.de/id/eprint/90199