Evaluation of Swarm Supervision Complexity

Lindner, Sebastian; Schulte, Axel

doi:10.1007/978-3-030-68017-6_8

Cited by 1 publication

(2 citation statements)

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“…The operator, instead, uses the messages that the UAVs broadcast (to their nearest neighbor) to estimate the swarm's state. Lindner et al [9] evaluated the complexity of supervising a swarm of UAVs with a manned aerial vehicle by displaying the swarm as an avatar to the plane pilots. Despite the effectiveness in reducing the cognitive complexity, the resolution of the swarm's coverage display is greatly sacrificed.…”

Section: Introductionmentioning

confidence: 99%

“…Patel et al [10] use an interface with augmented reality to specify the overall goal for the swarm with a mixture of robot and environment-oriented modalities. We use a more informative visualization compared to [9] and there is flexible autonomy that allows the operator to adjust the autonomy of the swarm by modifying the messages that are exchanged with the UAVs [11]. The operator can choose to not intervene and grant full autonomy to the swarm, which makes our study different from [10].…”

Section: Introductionmentioning

confidence: 99%

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Designing a User-Centered Interaction Interface for Human–Swarm Teaming

Soorati

Clark

Ghofrani

et al. 2021

Drones

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A key challenge in human–swarm interaction is to design a usable interface that allows the human operators to monitor and control a scalable swarm. In our study, we restrict the interactions to only one-to-one communications in local neighborhoods between UAV-UAV and operator-UAV. This type of proximal interactions will decrease the cognitive complexity of the human–swarm interaction to O(1). In this paper, a user study with 100 participants provides evidence that visualizing a swarm as a heat map is more effective in addressing usability and acceptance in human–swarm interaction. We designed an interactive interface based on the users’ preference and proposed a controlling mechanism that allows a human operator to control a large swarm of UAVs. We evaluated the proposed interaction interface with a complementary user study. Our testbed and results establish a benchmark to study human–swarm interaction where a scalable swarm can be managed by a single operator.

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Section: Introductionmentioning

confidence: 99%