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.
| Originalsprache | Englisch |
|---|---|
| Seitenumfang | 5 |
| DOIs | |
| Publikationsstatus | Veröffentlicht - 1 Sep. 2024 |
| Veranstaltung | ABIS 2024 - International Workshop on Personalization and Recommendation - Karlsruhe Institute of Technology, Karlsruhe, Deutschland Dauer: 1 Sep. 2024 → 1 Sep. 2024 https://fg-abis.gi.de/veranstaltung/abis-2024 |
Workshop
| Workshop | ABIS 2024 - International Workshop on Personalization and Recommendation |
|---|---|
| Kurztitel | ABIS'24 |
| Land/Gebiet | Deutschland |
| Ort | Karlsruhe |
| Zeitraum | 01.09.2024 → 01.09.2024 |
| Internetadresse |
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