Human–robot interaction: how worker influence in task allocation improves autonomy

Tausch, Alina; Peifer, Corinna; Kirchhoff, Britta Marleen; Kluge, Annette

doi:10.1080/00140139.2022.2025912

Cited by 8 publications

(3 citation statements)

References 41 publications

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Section: Related Empirical Work On Human-robot Interaction Strategiesmentioning

confidence: 99%

“…Tausch et al [21] examined how worker influence in task allocation improves autonomy. Usually, this kind of research focuses on efficiency, but procedural, motivational and cognitive perspectives are suggested to empower human-centred HRI [21]. There were 87 subjects participating in a contrived study where they performed manual assembly in collaboration with a robot.…”

Section: Related Empirical Work On Human-robot Interaction Strategiesmentioning

confidence: 99%

“…The results show higher values when the participants allocated tasks themselves and satisfaction seems lower with no worker influence. It was concluded that workers should be provided with influence over task allocation for a successful HRI [21].…”

Section: Related Empirical Work On Human-robot Interaction Strategiesmentioning

confidence: 99%

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The Quest for Appropriate Human-Robot Interaction Strategies in Industrial Contexts

Lindblom,

Alenljung

2023

Advances in Transdisciplinary Engineering

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The industrial evolutions require robots to be able to share physical and social space with humans in such a way that interaction and coexistence are positively experienced by human workers. A prerequisite is the possibility for the human and the robot to mutually perceive, interpret and act on each other’s actions and intentions. To achieve this, strategies for human-robot interaction are needed that are adapted to operators’ needs and characteristics in the industrial contexts. In this paper, we aim to present various taxonomies of levels of automation, human-robot interaction, and human-robot collaboration suggested for the envisioned factories of the future. Based on this foundation, we propose a compass direction for continued research efforts which both zooms in and zooms out on how to develop applicable human-robot interaction strategies that are worker-centric in order to obtain effective, efficient, safe, sustainable, and pleasant human-robot collaboration and coexistence.

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Section: Related Empirical Work On Human-robot Interaction Strategiesmentioning

confidence: 99%

Section: Related Empirical Work On Human-robot Interaction Strategiesmentioning

confidence: 99%

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The Quest for Appropriate Human-Robot Interaction Strategies in Industrial Contexts

Lindblom,

Alenljung

2023

Advances in Transdisciplinary Engineering

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Multicriteria task classification in human-robot collaborative assembly through fuzzy inference

2022

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The advent of new technologies and their implementation in manufacturing is accelerating the progress of Industry 4.0 (I4.0). Among the enabling technologies of I4.0, collaborative robots (cobots) push factory reconfiguration and prompt for worker empowerment by exploiting the respective assets of both humans and robots. Indeed, human has superior dexterity, flexibility, problem-solving ability. Robot excels in strength, endurance, accuracy and is expendable for risky activities. Therefore, task assignment problem in a production line with coexisting humans and robots cannot limit to the workload balancing among workers but should make the most of everyone respective abilities. The outcomes should not be only an increased productivity, but also improved production quality, human safety and well-being. Task assignment strategy should rely on a comprehensive assessment of the tasks from the viewpoint of suitability to humans or robots. As there are several conflicting evaluation criteria, often qualitative, the study defines the set of criteria, their metrics and proposes a method for task classification relying on Fuzzy Inference System to map each task onto a set of collaboration classes. The outcome of the study is the formal description of a set of evaluation criteria with their metrics. Another outcome is a Fuzzy Classification procedure that support production managers to properly consider all the criteria in the assignment of the tasks. The proposed methodology was tested on a case study derived from a manual manufacturing process to demonstrate its application during the process planning.

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Teaming with robots—principles of sustainable humane work design

Tausch,

Kluge

2023

Z. Arb. Wiss.

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ZusammenfassungDer Einsatz zunehmend autonomer und kollaborativer agierender sozialer Roboter oder Cobots kann und sollte als Chance für die menschengerechte Gestaltung von mit Technologien angereicherten Arbeitsplätzen verstanden werden. Dazu gilt es, den Einsatz menschzentriert zu gestalten und unter anderem drei wesentliche Voraussetzungen sicherzustellen: (1) die Gestaltung der Arbeit von Menschen mit Robotern im Sinne einer Teamarbeit, (2) eine dynamische Zuteilung von Aufgaben und (3) die Anpassbarkeit von Robotern durch Beschäftigte. Zu diesen Aspekten präsentieren wir jeweils drei Handlungsempfehlungen, die in einem Anwender‑/innenschema so aufbereitet werden, dass sie bei der Gestaltung von Mensch-Roboter-Arbeitsplätzen mit einfachen Entscheidungsschritten berücksichtig werden können. Dadurch sollen Arbeitsgestalter‑/innen, Betriebsrät‑/innen und Interessensvertreter‑/innen befähigt werden, für nachhaltig menschen-gerechte Arbeitsbedingungen zu sorgen.

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Human–robot interaction: how worker influence in task allocation improves autonomy

Cited by 8 publications

References 41 publications

The Quest for Appropriate Human-Robot Interaction Strategies in Industrial Contexts

The Quest for Appropriate Human-Robot Interaction Strategies in Industrial Contexts

Multicriteria task classification in human-robot collaborative assembly through fuzzy inference

Teaming with robots—principles of sustainable humane work design

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