Topic
Situation awareness
About: Situation awareness is a research topic. Over the lifetime, 7380 publications have been published within this topic receiving 108695 citations. The topic is also known as: SA & situational awareness.
Papers published on a yearly basis
Papers
More filters
TL;DR: The human factors literature on intelligent systems was reviewed, and two key human performance issues related to H-A teaming for multirobot control and some promising user interface design solutions to address these issues were discussed.
Abstract: The human factors literature on intelligent systems was reviewed in relation to the following: efficient human supervision of multiple robots, appropriate human trust in the automated systems, maintenance of human operator's situation awareness, individual differences in human-agent (H-A) interaction, and retention of human decision authority. A number of approaches-from flexible automation to autonomous agents-were reviewed, and their advantages and disadvantages were discussed. In addition, two key human performance issues (trust and situation awareness) related to H-A teaming for multirobot control and some promising user interface design solutions to address these issues were discussed. Some major individual differences factors (operator spatial ability, attentional control ability, and gaming experience) were identified that may impact H-A teaming in the context of robotics control.
354 citations
TL;DR: It was concluded that current SA measurement techniques are inadequate by themselves for use in the assessment of SA in C4i environments, and a multiple-measure approach utilising different approaches is recommended.
348 citations
Patent•
20 Oct 2006
TL;DR: In this paper, the authors present a knowledge base that organizes information and rules that enable an accurate, relevant and timely decision support system, which is represented in a hierarchical structure of functions and systems.
Abstract: Embodiments in accordance with the present invention relate to methods and apparatus for an intelligent human-machine interface. By way of example, but not limited thereto, embodiments of methods and apparatus are presented of an intelligent human-machine interface for the operating room, and more particularly, to systems and processes for real-time management and feedback of process control, situational awareness, logistics, communication, and documentation, herein referred to as system. One element of the system, among others, provides a knowledge base that organizes information and rules that enables an accurate, relevant and timely decision support system. The knowledge base is represented in a hierarchical structure of functions and systems. The system serves as platform for the avoidance, detection and timely correction of errors, and as such, acts as a countermeasure to error.
336 citations
TL;DR: The concepts of multiscale spatiotemporal tracking through the use of real-time video analysis, active cameras, multiple object models, and long-term pattern analysis to provide comprehensive situation awareness are explored.
Abstract: Situation awareness is the key to security. Awareness requires information that spans multiple scales of space and time. Smart video surveillance systems are capable of enhancing situational awareness across multiple scales of space and time. However, at the present time, the component technologies are evolving in isolation. To provide comprehensive, nonintrusive situation awareness, it is imperative to address the challenge of multiscale, spatiotemporal tracking. This article explores the concepts of multiscale spatiotemporal tracking through the use of real-time video analysis, active cameras, multiple object models, and long-term pattern analysis to provide comprehensive situation awareness.
335 citations
Proceedings Article•
05 Jul 2011TL;DR: An approach for automatically identifying messages communicated via Twitter that contribute to situational awareness that is promising, and has the potential to aid the general public in culling and analyzing information communicated during times of mass emergency.
Abstract: In times of mass emergency, vast amounts of data are generated via computer-mediated communication (CMC) that are difficult to manually cull and organize into a coherent picture. Yet valuable information is broadcast, and can provide useful insight into time- and safety-critical situations if captured and analyzed properly and rapidly. We describe an approach for automatically identifying messages communicated via Twitter that contribute to situational awareness, and explain why it is beneficial for those seeking information during mass emergencies. We collected Twitter messages from four different crisis events of varying nature and magnitude and built a classifier to automatically detect messages that may contribute to situational awareness, utilizing a combination of hand-annotated and automatically-extracted linguistic features. Our system was able to achieve over 80% accuracy on categorizing tweets that contribute to situational awareness. Additionally, we show that a classifier developed for a specific emergency event performs well on similar events. The results are promising, and have the potential to aid the general public in culling and analyzing information communicated during times of mass emergency.
334 citations