Критерии оценки качества человеко-машинного интерфейса сельскохозяйственных роботов при выполнении совместных задач
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Научный журнал Моделирование, оптимизация и информационные технологииThe scientific journal Modeling, Optimization and Information Technology
Online media
issn 2310-6018

Criteria for assessing quality of human-machine interface of a heterogeneous group of agricultural robots

idMotienko A.I. idVatamaniuk I.V. idSaveliev A.I. idGüzey H. idJokisch O.

UDC 004.5
DOI: 10.26102/2310-6018/2021.34.3.027

  • Abstract
  • List of references
  • About authors

The paper discusses existing solutions in the field of human-machine interfaces to ensure group interaction of ground robots and unmanned aerial vehicles when performing tasks in agriculture and spot farming. Various aspects of the interaction of heterogeneous agricultural robots, namely, unmanned aerial vehicles and ground mobile platforms, are considered using the example of a scenario of automated point fertilization on plantations of columnar apple trees. The criteria for assessing the quality of the human-machine interface for the formulation and implementation of group tasks of agricultural robotics are determined. The most effective of them are highlighted: the average time required for a user to solve a problem using the KLM-GOMS method, an assessment of the system complexity by the method of T. Comber and J. Maltby, the correctness of the task, the frequency of successful completion of the task, the time it takes to complete the task, the degree of awareness of the situation, the number of control actions, the accuracy of the diagnosis of the situation, the time of detection and diagnosis of the situation, the behavior of the controlled technological parameter, the workload, the functional state of the operator. The results obtained can be used to develop strategies for the joint activity of heterogeneous agricultural robots, controlled using intuitive human-machine interfaces.

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Motienko Anna Igorevna
Ph.D.

WoS | Scopus | ORCID |

St. Petersburg Federal Research Center of the Russian Academy of Sciences

St.Petersburg, Russian Federation

Vatamaniuk Irina Valer'evna

Email: Vatamaniuk.i.v@gmail.com

WoS | Scopus | ORCID | eLibrary |

St. Petersburg Federal Research Center of the Russian Academy of Sciences

St. Petersburg, Russia

Saveliev Anton Igorevich
Ph.D.

ORCID |

St. Petersburg Federal Research Center of the Russian Academy of Sciences

St. Petersburg, Russian Federation

Güzey Hacı Mehmet
Ph.D.

ORCID |

Erzurum Technical University

Erzurum, Turkey

Jokisch Oliver
Prof., Dr.-Ing.

ORCID |

Hochschule für Telekommunikation

Leipzig, Germany

Keywords: agricultural robots, UAV, human-machine interface, quality assessment criteria, group interaction of robots, spot farming

For citation: Motienko A.I. Vatamaniuk I.V. Saveliev A.I. Güzey H. Jokisch O. Criteria for assessing quality of human-machine interface of a heterogeneous group of agricultural robots. Modeling, Optimization and Information Technology. 2021;9(3). Available from: https://moitvivt.ru/ru/journal/pdf?id=1052 DOI: 10.26102/2310-6018/2021.34.3.027 (In Russ).

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Full text in PDF

Received 16.09.2021

Revised 28.09.2021

Accepted 29.09.2021

Published 19.10.2021