Machine operation task analysis – A deeper look into the shift of task profiles within operating agricultural cyber-physical production systems
Publikation: Beitrag in Buch/Konferenzbericht/Sammelband/Gutachten › Beitrag in Buch/Sammelband/Gutachten › Beigetragen › Begutachtung
Beitragende
Abstract
The introduction of highly automated machines (HAMs) in agriculture changes the work profiles of operators. As such machines are capable of operating themselves in many situations, direct control tasks of operators decrease whereas monitoring and planning activities increase (Arnold et al., 2016; Bochtis et al., 2014; Eckert et al., 2019; Gandorfer et al., 2017). Supervising such systems might also leads to more inhomogeneous and infrequently workloads, as problems where operators have to intervene cannot be scheduled (Endsley & Kaber, 1999). Tackling human-friendly work conditions is all the more important as the operator has to fill the gap between the systems capabilities and dynamic requirements of real field-based missions. This raises the question of how operators can be integrated into these collaborative work scenarios within user-friendly work conditions by considering human capabilities, competencies and motivation to fulfill their work tasks (Gutzwiller & van Bruggen, 2021; ZIEGLER & URBAS, 2015). The understanding and definition of tasks and requirements is essential for designing human-machine interfaces (HMI). A proper task analysis is key to identify demands for information and control functions as well as possible workflows and circumstances, under which these tasks have to be fulfilled (Butz & Krüger, 2017). This paper provides a brief look into the supervising scenarios and decomposes a task structure within the changed work profile. It focuses on the transition of the operators’ role and the relating task-based activities with their frequency, severity and requirements for the operator and the human-machine interaction. It also aims for a more detailed understanding of human operation in shard control scenarios in highly automated agricultural systems.
Details
| Originalsprache | Englisch |
|---|---|
| Titel | Land.Technik 2022 |
| Herausgeber (Verlag) | VDI Verlag, Düsseldorf |
| Seiten | 473-484 |
| Seitenumfang | 12 |
| ISBN (elektronisch) | 978-3-18-102395-2 |
| ISBN (Print) | 978-3-18-092395-6 |
| Publikationsstatus | Veröffentlicht - 2022 |
| Peer-Review-Status | Ja |
Publikationsreihe
| Reihe | VDI Berichte |
|---|---|
| Band | 2395 |
| ISSN | 0083-5560 |
Externe IDs
| ORCID | /0000-0002-3402-6714/work/173054152 |
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