Part of the Institute of Computer Graphics @ Johannes Kepler University Linz, Austria

Personalized Complementarity in Human-AI Collaboration

Abstract

Uncertainty and the potential for complementarity between humans and AI have shaped a new kind of interaction, typically referred to as a collaborative relationship. In this paper, we pick up on the discussion of common issues in human-AI collaboration based on a literature review and further discuss ways to and challenges of personalized complementarity in human-AI relations. We hypothesize that a combination of reciprocal, mixed-initiative communication may support up-to-date mental models and therefore strengthen appropriate trust and reliance, ultimately leading to a higher chance of effectively exploiting existing complementarity potentials.


Citation

Karin Breckner, Thomas Neumayr, Marc Streit, Mirjam Augstein
Personalized Complementarity in Human-AI Collaboration
Mensch und Computer 2024, International Workshop on Personalization and Recommendation, doi:10.18420/muc2024-mci-ws11-206, 2024.

BibTeX

@article{,
    title = {Personalized Complementarity in Human-AI Collaboration},
    author = {Karin Breckner and Thomas Neumayr and Marc Streit and Mirjam Augstein},
    journal = {Mensch und Computer 2024, International Workshop on Personalization and Recommendation},
    booktitle = {Mensch und Computer 2024 - Workshopband},
    publisher = {Gesellschaft für Informatik e.V."},
    doi = {10.18420/muc2024-mci-ws11-206},
    year = {2024}
}

Acknowledgements

This research has been conducted within the scope of the Human-Centered Artificial Intelligence (HCAI) project, funded by the Austrian Science Fund (FWF) [DFH 23-N].