Collaboration Patterns Ontology for Human-Machine Decision Support

Alexander Smirnov, Tatiana Levashova

2024

Abstract

Collaboration of humans and machines when they complement capabilities of each other is becoming increasingly relevant. Recurring problems often arise in the collaboration process. Collaboration patterns that provide reusable efficient and proven solutions for recurring problems is a means to facilitate organization of joint activities for specific collaboration goals such as decision support. Existing studies on collaboration patterns make it clear that collaboration faces problems of diverse classes. The paper proposes a holistic view on human-machine collaboration relatively to the decision support domain where a human-machine environment processes a task that the user deals with as a decision support problem. During task processing, humans and machines use collaboration patterns when they intend to achieve goals for which the patterns propose solutions. A collaboration patterns ontology supports the choice of a kind of pattern that the collaborators can use to accomplish a specific goal. The present research provides models for organization of pattern-based collaboration and contributes to the problem of human-machine decision support suggesting a pattern-based decision support process.

Paper Citation

in Harvard Style

Smirnov A. and Levashova T. (2024). Collaboration Patterns Ontology for Human-Machine Decision Support. In Proceedings of the 16th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 2: KEOD; ISBN 978-989-758-716-0, SciTePress, pages 83-94. DOI: 10.5220/0013057300003838

in Bibtex Style

@conference{keod24,
author={Alexander Smirnov and Tatiana Levashova},
title={Collaboration Patterns Ontology for Human-Machine Decision Support},
booktitle={Proceedings of the 16th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 2: KEOD},
year={2024},
pages={83-94},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013057300003838},
isbn={978-989-758-716-0},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 16th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 2: KEOD
TI - Collaboration Patterns Ontology for Human-Machine Decision Support
SN - 978-989-758-716-0
AU - Smirnov A.
AU - Levashova T.
PY - 2024
SP - 83
EP - 94
DO - 10.5220/0013057300003838
PB - SciTePress