Evaluating the Perceived Quality and Functionality of DEMO Models’ Representations in the Health Domain

David Aveiro, David Aveiro, David Aveiro, Vítor Freitas, Vítor Freitas, Dulce Pacheco, Dulce Pacheco, Dulce Pacheco, Duarte Pinto

2023

Abstract

Demo’s (Design and Engineering Methodology for Organizations) Way of Modelling encompasses a collection of interconnected models and diagrams designed to depict an organization’s structure and operations in a cohesive and platform-independent manner. Nevertheless, there has been a contention that the syntax and semantics of DEMO models are overly intricate and cluttered, posing challenges for laypeople in terms of interpretation. Our research team has been working on improvements to the DEMO Modelling language for Enterprise Ontology. Previous work had shown challenges in using standard DEMO notations for model communication and validation, prompting the development of new representations. This study evaluates these representations through quality and functionality testing using a health domain case and health professionals with domain knowledge. The results of the conducted tests reveal significant differences in perceived quality and functionality between the new and traditional DEMO representations. These findings indicate a strong preference for the new representations over traditional ones. This study underscores the importance of focusing on users in enhancing the effectiveness of modelling languages like DEMO, particularly in complex domains such as healthcare. The results suggest that these new representations have the potential to improve the perceived quality and functionality of DEMO models in various practical applications, including health-related information systems.

Paper Citation

in Harvard Style

Aveiro D., Freitas V., Pacheco D. and Pinto D. (2023). Evaluating the Perceived Quality and Functionality of DEMO Models’ Representations in the Health Domain. In Proceedings of the 15th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 2: KEOD; ISBN 978-989-758-671-2, SciTePress, pages 331-338. DOI: 10.5220/0012260400003598

in Bibtex Style

@conference{keod23,
author={David Aveiro and Vítor Freitas and Dulce Pacheco and Duarte Pinto},
title={Evaluating the Perceived Quality and Functionality of DEMO Models’ Representations in the Health Domain},
booktitle={Proceedings of the 15th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 2: KEOD},
year={2023},
pages={331-338},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012260400003598},
isbn={978-989-758-671-2},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 15th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 2: KEOD
TI - Evaluating the Perceived Quality and Functionality of DEMO Models’ Representations in the Health Domain
SN - 978-989-758-671-2
AU - Aveiro D.
AU - Freitas V.
AU - Pacheco D.
AU - Pinto D.
PY - 2023
SP - 331
EP - 338
DO - 10.5220/0012260400003598
PB - SciTePress