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Framing 'Collaboration': How Human-Human Principles Translate into Human-AI Realities

  • Mara, M. (Speaker)
  • Karin Breckner (Contributor)
  • Thomas Neumayr (Contributor)
  • Streit, M. (Contributor)
  • Mirjam Augstein (Contributor)

Activity: Talk or presentationInvited talkscience-to-science

Description

The recent advancement of AI has shifted terminology: humans “use” computers but “collaborate with” AI. This anthropomorphic framing shapes expectations of system capabilities. Despite the large body of research adopting “human-AI collaboration” as a term, there seems to be little consensus on a definition of the concept at a glance. To address this potential gap and to provide a comprehensive overview of existing related literature, we first conducted a thematic analysis on human-human collaboration literature (n=60) to extract definitional components and associated concepts. Second, we analyzed publications on human-AI collaboration (n=299) using OpenAI’s GPT4o mini and o3 mini models, mapping the identified concepts to the AI context to examine the extent to which these concepts of collaboration are represented there. Our findings provide a shared conceptual foundation to support interdisciplinary research and suggest future research directions. Additionally, they inform the design of human-AI interfaces and interaction processes, bridging theory and practice.
Period14 Apr 202617 Apr 2026
Event titleACM CHI 2026: Conference on Human Factors in Computing Systems
Event typeConference
LocationBarcelona, SpainShow on map
Degree of RecognitionInternational

Fields of science

  • 102013 Human-computer interaction
  • 102001 Artificial intelligence
  • 501002 Applied psychology
  • 501012 Media psychology

JKU Focus areas

  • Digital Transformation
  • Sustainable Development: Responsible Technologies and Management