Collaborative GenAI – Humanized Interaction Fields for Knowledge Creation

Abstract

Generative AI (GenAI) is increasingly becoming part of our habits, both in our professional and private lives. The
use of this is a way to shape, change and influence knowledge creation and utilisation, and thus a very interesting
phenomenon for the field of Knowledge Management (KM). In a previous work, the authors of this paper focused on the
bidirectional effects of KM processes due to the interaction between humans and machines using natural language as a
medium. The result of this work was the generative and responsive artificial intelligence (GRAI) model, which not only
generates content on demand, but also adapts and modifies knowledge-related interactions. This research focusses on the
concept of interaction fields and investigates the collaborative nature of those interaction fields to develop the conceptual
model even further. This is achieved by relating to the characteristics of collaborative robotics (COBOTs) as an established
form of human-machine interaction and the main differences of human-machine interactions to derive the concept of
Humanized Interaction Fields (HIF) that describe relevant aspects of interaction in the field of Human-centered AI (HCAI).
The research contributes to the understanding for the co-creation of knowledge between human and machine.