An intelligent SA-adaptive interface to aid supervisory control of a UAV swarm

Fortmann, Florian; Lüdtke, Andreas

doi:10.1109/indin.2013.6622981

Cited by 7 publications

(5 citation statements)

References 13 publications

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“…Some articles only focused on a single topic of intelligent adaptive interfaces. For example, the intelligent situation awareness‐adaptive interface (ISAAI) focuses on user situation awareness. ISAAI monitors user situation awareness only using eye‐gaze tracking, and it guides the user's visual attention to relevant but unattended information.…”

Section: Related Workmentioning

confidence: 99%

“…IAI is an interface that dynamically adapts its control and display characteristics to react in real time to task, user, system, and environment states . Some definitions and practices have been reported for intelligent adaptive interfaces in and .…”

Section: Introductionmentioning

confidence: 99%

“…Some of the interesting aspects of IAI have been reported and elaborated in the literature. For example, an intelligent adaptive interface that focused on situation awareness was presented in . A limited model‐based context aware adaptive interface is developed in .…”

Section: Introductionmentioning

confidence: 99%

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Comprehensive architecture for intelligent adaptive interface in the field of single-human multiple-robot interaction

Ilbeygi

Kangavari

2018

ETRI Journal

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Nowadays, with progresses in robotic science, the design and implementation of a mechanism for human–robot interaction with a low workload is inevitable. One notable challenge in this field is the interaction between a single human and a group of robots. Therefore, we propose a new comprehensive framework for single‐human multiple‐robot remote interaction that can form an efficient intelligent adaptive interaction (IAI). Our interaction system can thoroughly adapt itself to changes in interaction context and user states. Some advantages of our devised IAI framework are lower workload, higher level of situation awareness, and efficient interaction. In this paper, we introduce a new IAI architecture as our comprehensive mechanism. In order to practically examine the architecture, we implemented our proposed IAI to control a group of unmanned aerial vehicles (UAVs) under different scenarios. The results show that our devised IAI framework can effectively reduce human workload and the level of situation awareness, and concurrently foster the mission completion percentage of the UAVs.

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Section: Related Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Comprehensive architecture for intelligent adaptive interface in the field of single-human multiple-robot interaction

Ilbeygi

Kangavari

2018

ETRI Journal

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“…Early stages of the concept have been presented in [6,8]. Here, we describe the concept on a detailed level as it evolved until now.…”

Section: Conceptmentioning

confidence: 99%

Development and Evaluation of an Assistant System to Aid Monitoring Behavior during Multi-UAV Supervisory Control

Fortmann

Mengeringhausen

2014

Proceedings of the 2014 European Conference on Cognitive Ergonomics

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The core function a human operator in charge of a supervisory control task is responsible for is monitoring. However, research has shown that the correct execution of this function is often violated. The consequences can be disastrous for human life and the environment. Within the framework of the European project D3CoS, we developed an assistant system to aid the monitoring behavior of a human operator in charge of supervisory control of highly automated unmanned aerial vehicles. The idea behind the assistant system was to continuously invoke visual cues on the display used to supervise the mission in order to guide the operator's visual attention towards information demanding attention. Two studies were performed to evaluate the system along different target measures, such as situation awareness, workload, user acceptance and market potential. Overall, the results show that the system has positive effects on many target measures but not on all of them. Further research is needed to improve the system functions.

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“…However, most of these studies do not specifically focus on the design of the HMI. Instead, they focus on aspects such as the effects of different levels of automation [12,13], workload issues [14,15], decision support to fulfil mission objectives [16], or methods to enhance situation awareness [17]. Further, a detect and avoid display for UAS flying in the U.S. National Airspace System has been developed and evaluated within the scope of several studies [18][19][20].…”

Section: Introductionmentioning

confidence: 99%

Human–Machine Interface Design for Monitoring Safety Risks Associated with Operating Small Unmanned Aircraft Systems in Urban Areas

Friedrich

Vollrath

2021

Aerospace

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The envisioned introduction of autonomous Small Unmanned Aircraft Systems (sUAS) into low-altitude urban airspace necessitates high levels of system safety. Despite increased system autonomy, humans will most likely remain an essential component in assuring safety. This paper derives, applies, and evaluates a display design concept that aims to support safety risk monitoring of multiple sUAS by a human operator. The concept comprises of five design principles. The core idea of the concept is to limit display complexity despite increasing the number of sUAS monitored by primarily visualizing highly abstracted information while hiding detailed information of lower abstraction, unless specifically requested by the human operator. States of highly abstracted functions are visualized by function-specific icons that change hue in accordance to specified system states. Simultaneously, the design concept aims to support the human operator in identifying off-nominal situations by implementing design properties that guide visual attention. The display was evaluated in a study with seven subject matter experts. Although preliminary, the results clearly favor the proposed display design concept. The advantages of the proposed design concept are demonstrated, and the next steps for further exploring the proposed display design concept are outlined.

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An intelligent SA-adaptive interface to aid supervisory control of a UAV swarm

Cited by 7 publications

References 13 publications

Comprehensive architecture for intelligent adaptive interface in the field of single-human multiple-robot interaction

Comprehensive architecture for intelligent adaptive interface in the field of single-human multiple-robot interaction

Development and Evaluation of an Assistant System to Aid Monitoring Behavior during Multi-UAV Supervisory Control

Human–Machine Interface Design for Monitoring Safety Risks Associated with Operating Small Unmanned Aircraft Systems in Urban Areas

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