Human-AI Interaction for Work (Dagstuhl Seminar 23452)

Authors Susanne Boll, Andrew L. Kun, Bastian Pfleging, Orit Shaer and all authors of the abstracts in this report

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Author Details

Susanne Boll
  • Universität Oldenburg, DE
Andrew L. Kun
  • University of New Hampshire - Durham, US
Bastian Pfleging
  • TU Bergakademie Freiberg, DE
Orit Shaer
  • Wellesley College, US
and all authors of the abstracts in this report

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Susanne Boll, Andrew L. Kun, Bastian Pfleging, and Orit Shaer. Human-AI Interaction for Work (Dagstuhl Seminar 23452). In Dagstuhl Reports, Volume 13, Issue 11, pp. 20-71, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2024)


Work is changing. Who works, where and when they work, which tools they use, how they collaborate with others, how they are trained, and how work interacts with well-being - all these aspects of work are currently undergoing rapid shifts. A key source of changes in work is the advent of computational tools that utilize artificial intelligence (AI) technologies. AI will increasingly support workers in traditional and non-traditional environments as they perform manual-visual tasks as well as tasks that predominantly require cognitive skills. Given this emerging landscape for work, the theme of this Dagstuhl Seminar was human-AI interaction for work in both traditional and non-traditional workplaces, and for heterogeneous and diverse teams of remote and on-site workers. We focused on the following research questions: - How do we allocate tasks between humans and automation in practical settings? - How can interfaces allow for the appropriate level of human understanding of the roles of human and machine, for the appropriate trust in machines, and how can they reduce incorrect use and confusion? - How do we support user attention for different tasks, teams, and work environments? - How can human-automation interaction technology support both work and worker well-being? At the seminar, we discussed these questions considering their interconnected nature. This focus on interconnectedness of issues was supported by the interdisciplinary group at the Dagstuhl Seminar which was attended by computer scientists/engineers, electrical engineers, human factors engineers, interaction designers, UI/UX designers, and psychologists from industry and academia. In the following, we report the program, activities, and outcome of our Dagstuhl Seminar 23452 "Human-AI Interaction for Work."

Subject Classification

ACM Subject Classification
  • Human-centered computing → Human computer interaction (HCI)
  • future of work
  • human-ai interaction


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