Integrating Human‐Conversational GenAI in MBSE: Towards Human‐AI Interdependency?

ABSTRACT Conversational generative artificial intelligence (CGenAI) offers new opportunities to support systems engineering practices but raises numerous challenges regarding human‐AI teaming design. This ongoing project is exploring the design of human‐CGenAI interaction (H‐CGenAI.I) within socio‐technical systems and proposes a modelling approach grounded in model‐based systems engineering (MBSE). A scenario‐driven methodology and SysML profile will be introduced to capture and formalise interactive patterns. The study also intends to develop an evaluation framework based on heuristics and practitioner feedback. This research aims to foster a human‐centred integration of H‐CGenAI.I into systems engineering analysis, enhancing traceability, collaboration, and reliability in the engineering of socio‐technical systems.

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Publication Details

Journal
Insight
Published
2025-12-01
DOI
https://doi.org/10.1002/inst.70017
Primary Topic
Systems Engineering Methodologies and Applications
Type
article
Field-Weighted Citation Impact
0.00
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article

Integrating Human‐Conversational GenAI in MBSE: Towards Human‐AI Interdependency?

Romain Pinquié, Cédric Masclet, Émilie Perreau
Insight
Systems Engineering Methodologies and Applications
article

Integrating Human‐Conversational GenAI in MBSE: Towards Human‐AI Interdependency?

Romain Pinquié, Cédric Masclet, Émilie Perreau
article en

Abstract

ABSTRACT Conversational generative artificial intelligence (CGenAI) offers new opportunities to support systems engineering practices but raises numerous challenges regarding human‐AI teaming design. This ongoing project is exploring the design of human‐CGenAI interaction (H‐CGenAI.I) within socio‐technical systems and proposes a modelling approach grounded in model‐based systems engineering (MBSE). A scenario‐driven methodology and SysML profile will be introduced to capture and formalise interactive patterns. The study also intends to develop an evaluation framework based on heuristics and practitioner feedback. This research aims to foster a human‐centred integration of H‐CGenAI.I into systems engineering analysis, enhancing traceability, collaboration, and reliability in the engineering of socio‐technical systems.

InsightVol. 28(6)
Openalex Percentile: Top 51%
Systems Engineering Methodologies and Applications
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