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A human-centric framework for enhancing usability in a vineyard digital twin system

Meysam, Zareiee, Zhao, Baixiang, Palmer, Claire, Mehrad, Mahsa, Goh, Yee Mey, Grant, Rebecca, Hubbard, Ella-Mae, Mehnen, Jörn and Maier, Anja (2026) A human-centric framework for enhancing usability in a vineyard digital twin system. Computers and Electronics in Agriculture, 244 (111490). ISSN 0168-1699

Item Type: Article

Abstract

This paper develops and applies a human-centric framework to design a Digital Twin (DT) by applying a people led approach to a vineyard automation scenario. Current DT systems in agriculture often focus on technical performance, which creates usability challenges such as data overload, lack of role-specific interfaces, and reduced trust among non-technical users. The study applies Personas to represent user groups and introduces a human centric framework for mapping tasks and decision processes. The framework makes an original contribution by demonstrating how established human-centric methods can be systematically integrated into a coherent DT de velopment process, addressing a recognised methodological gap in the literature. The objective of this research is to evaluate how a structured, human-centric approach can improve usability, cognitive alignment, and stake
holder engagement in vineyard automation. These processes are modeled using Personas, Decision Ladders and Control Task Analysis to align system functionality with user roles and cognitive needs. The research methodology integrates Personas, ConTA, and Decision Ladders within a real-world vineyard case study. This study show cases the impact of applying a structured human-centric DT design framework on improving decision-making support, user engagement, and system efficiency in agricultural contexts. Moreover, it provides expert-informed evidence in what way human-centric methods can be operationalised in a consistent and transparent way for DT redesign. Overall, the work demonstrates how a structured, people-led approach can enhance the usability and adoption of both new and existing DT systems, offering a transferable framework with relevance beyond agriculture.

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More Information

Uncontrolled Keywords: Digital twin Cognitive modelling Decision support Personas User requirement
Related URLs:
Depositing User: Meysam Zareiee

Identifiers

Item ID: 20026
Identification Number: 10.1016/j.compag.2026.111490
ISSN: 0168-1699
URI: https://sure.sunderland.ac.uk/id/eprint/20026
Official URL: https://www.sciencedirect.com/science/article/pii/...

Users with ORCIDS

ORCID for Zareiee Meysam: ORCID iD orcid.org/0000-0002-5637-1746

Catalogue record

Date Deposited: 09 Mar 2026 09:39
Last Modified: 09 Mar 2026 09:39

Contributors

Author: Zareiee Meysam ORCID iD
Author: Baixiang Zhao
Author: Claire Palmer
Author: Mahsa Mehrad
Author: Yee Mey Goh
Author: Rebecca Grant
Author: Ella-Mae Hubbard
Author: Jörn Mehnen
Author: Anja Maier
Author: Zareiee Meysam

University Divisions

Faculty of Business and Technology > School of Computer Science and Engineering

Subjects

Engineering > Electrical Engineering

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