On the Importance of Adaptive Operator Training in Human-Swarm Interaction

Hasbach, Jonas D.; Witte, Thomas E. F.; Bennewitz, Maren

doi:10.1007/978-3-030-50788-6_23

Cited by 2 publications

(7 citation statements)

References 44 publications

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“…JHSL refers to a cybernetic perspective on HSI where human and swarm are seen as interdependent parts of the same goal-oriented system (Ashby, 1961a;Clark & Chalmers, 1998;Hasbach, Witte, & Bennewitz, 2020;Hollnagel & Woods, 2005;Hutchins, 1995;Rasmussen, Pejtersen, & Goodstein, 1994; Woods & Hollnagel, As a research field: Combination of human-factors engineering and swarm robotics that addresses the challenge how the distributed nature of robot swarms and the centralized control and feedback demands of humans can be combined into one loop As a system component: Interaction between human and robot swarm Joint human-swarm loop (JHSL)…”

Section: Holistic Perspective On Hsimentioning

confidence: 99%

“…Note how this relates to the discussion of intelligent systems that tune the robust controller by rules of adaptation (Section 3.2). Similarly, the operator should be exposed to different situations so that he is able to develop an intuition of swarm dynamics as well as how his own states influence these dynamics (Hasbach et al, 2020). This process may be described by neural plasticity (Hebb, 1949), meaning it can be seen as self-organizing on the neural level.…”

Section: Sah As Self-organizing Hsimentioning

confidence: 99%

“…JHSL refers to a cybernetic perspective on HSI where human and swarm are seen as interdependent parts of the same goal-oriented system (Ashby, 1961a; Clark & Chalmers, 1998; Hasbach, Witte, & Bennewitz, 2020; Hollnagel & Woods, 2005; Hutchins, 1995; Rasmussen, Pejtersen, & Goodstein, 1994; Woods & Hollnagel, 2006). The focus is on how the components of the JHSL can be combined together so that the whole system displays desired behaviours in given situations.…”

Section: Joint Human–swarm Loopmentioning

confidence: 99%

“…How does the human operator’s mental model about swarm control tend to change over time, and how should the operator be trained in swarm control (Hasbach et al, 2020)?…”

Section: Joint Human–swarm Loopmentioning

confidence: 99%

“…How do operators coordinate goals and actions with other agents of the socio-technical system (Coucke, Heinrich, Cleeremans, & Dorigo, 2020;Ellwart, 2011;Ellwart, Happ, Gurtner, & Rack, 2015;Klein, Woods, Bradshaw, Hoffman, & Feltovich, 2004;Tavakoli, Nalbandian, & Ayanian, 2016;Woods & Hollnagel, 2006)? How does the human operator's mental model about swarm control tend to change over time, and how should the operator be trained in swarm control (Hasbach et al, 2020)? From the swarm perspective, which may be called swarm engineering, one must investigate the questions:…”

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confidence: 99%

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The design of self-organizing human–swarm intelligence

Hasbach

Bennewitz

2021

Adaptive Behavior

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Human–swarm interaction is a frontier in the realms of swarm robotics and human-factors engineering. However, no holistic theory has been explicitly formulated that can inform how humans and robot swarms should interact through an interface while considering real-world demands, the relative capabilities of the components, as well as the desired joint-system behaviours. In this article, we apply a holistic perspective that we refer to as joint human–swarm loops, that is, a cybernetic system made of human, swarm and interface. We argue that a solution for human–swarm interaction should make the joint human–swarm loop an intelligent system that balances between centralized and decentralized control. The swarm-amplified human is suggested as a possible design that combines perspectives from swarm robotics, human-factors engineering and theoretical neuroscience to produce such a joint human–swarm loop. Essentially, it states that the robot swarm should be integrated into the human’s low-level nervous system function. This requires modelling both the robot swarm and the biological nervous system as self-organizing systems. We discuss multiple design implications that follow from the swarm-amplified human, including a computational experiment that shows how the robot swarm itself can be a self-organizing interface based on minimal computational logic.

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Section: Holistic Perspective On Hsimentioning

confidence: 99%

Section: Sah As Self-organizing Hsimentioning

confidence: 99%

“…JHSL refers to a cybernetic perspective on HSI where human and swarm are seen as interdependent parts of the same goal-oriented system (Ashby, 1961a; Clark & Chalmers, 1998; Hasbach, Witte, & Bennewitz, 2020; Hollnagel & Woods, 2005; Hutchins, 1995; Rasmussen, Pejtersen, & Goodstein, 1994; Woods & Hollnagel, 2006). The focus is on how the components of the JHSL can be combined together so that the whole system displays desired behaviours in given situations.…”

Section: Joint Human–swarm Loopmentioning

confidence: 99%

“…How does the human operator’s mental model about swarm control tend to change over time, and how should the operator be trained in swarm control (Hasbach et al, 2020)?…”

Section: Joint Human–swarm Loopmentioning

confidence: 99%

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confidence: 99%

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The design of self-organizing human–swarm intelligence

Hasbach

Bennewitz

2021

Adaptive Behavior

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Robot swarms as embodied extensions of humans

Rockbach

Bennewitz

2022

IOP Conf. Ser.: Mater. Sci. Eng.

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In order to harness the potential of robot swarms, humans must be able to control decentralized and self-organizing multi-agent systems. The field of human-swarm interaction investigates how humans with their centralized information and control demands can be paired with the decentralized architectures of robot swarms. Recently, we have proposed an architecture which aims at balancing the trade-offs between centralized and decentralized control and communication in human-swarm interaction while joining the relative capabilities of human cognition and swarm intelligence. In this article, we expand on this architecture by discussing a list of design requirements that must be met in order to make robot swarms embodied extensions of humans that act and feel like natural body parts. We also conceptually show how some of the design requirements could be implemented by simple rules when we take the world’s structure into account.

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On the Importance of Adaptive Operator Training in Human-Swarm Interaction

Cited by 2 publications

References 44 publications

The design of self-organizing human–swarm intelligence

The design of self-organizing human–swarm intelligence

Robot swarms as embodied extensions of humans

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