Personalized Complementarity in Human-AI Collaboration

Research output: Contribution to conferencePaperpeer-review

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 languageEnglish
Number of pages5
DOIs
Publication statusPublished - 1 Sept 2024
EventABIS 2024 - International Workshop on Personalization and Recommendation - Karlsruhe Institute of Technology, Karlsruhe, Germany
Duration: 1 Sept 20241 Sept 2024
https://fg-abis.gi.de/veranstaltung/abis-2024

Workshop

WorkshopABIS 2024 - International Workshop on Personalization and Recommendation
Abbreviated titleABIS'24
Country/TerritoryGermany
CityKarlsruhe
Period01.09.202401.09.2024
Internet address

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