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.
| Original language | English |
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| Number of pages | 5 |
| DOIs | |
| Publication status | Published - 1 Sept 2024 |
| Event | ABIS 2024 - International Workshop on Personalization and Recommendation - Karlsruhe Institute of Technology, Karlsruhe, Germany Duration: 1 Sept 2024 → 1 Sept 2024 https://fg-abis.gi.de/veranstaltung/abis-2024 |
Workshop
| Workshop | ABIS 2024 - International Workshop on Personalization and Recommendation |
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| Abbreviated title | ABIS'24 |
| Country/Territory | Germany |
| City | Karlsruhe |
| Period | 01.09.2024 → 01.09.2024 |
| Internet address |