Personalized Complementarity in Human-AI Collaboration
| dc.contributor.author | Breckner, Karin | |
| dc.contributor.author | Neumayr, Thomas | |
| dc.contributor.author | Streit, Marc | |
| dc.contributor.author | Augstein, Mirjam | |
| dc.date.accessioned | 2024-08-21T11:08:40Z | |
| dc.date.available | 2024-08-21T11:08:40Z | |
| dc.date.issued | 2024 | |
| dc.description.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. | en |
| dc.identifier.doi | 10.18420/muc2024-mci-ws11-206 | |
| dc.identifier.uri | https://dl.gi.de/handle/20.500.12116/44342 | |
| dc.language.iso | en | |
| dc.publisher | Gesellschaft für Informatik e.V. | |
| dc.relation.ispartof | Mensch und Computer 2024 - Workshopband | |
| dc.relation.ispartofseries | Mensch und Computer | |
| dc.rights | http://purl.org/eprint/accessRights/RestrictedAccess | |
| dc.rights.uri | http://purl.org/eprint/accessRights/RestrictedAccess | |
| dc.title | Personalized Complementarity in Human-AI Collaboration | en |
| dc.type | Text/Workshop Paper | |
| gi.conference.date | 1.-4. September 2024 | |
| gi.conference.location | Karlsruhe | |
| gi.conference.sessiontitle | MCI-WS11: ABIS 2024 - International Workshop on Personalization and Recommendation |
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