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.

Building a Real-Time Geo-Targeted Event Observation (Geo) Viewer for Disaster Management and Situation Awareness

Abstract: Situation awareness plays an important role in disaster response and emergency management. Displaying real-time location-based social media messages along with videos, pictures, and hashtags during a disaster event could help first responders improve their situation awareness . A geo-targeted event observation (Geo) Viewer was developed for monitoring real-time social media messages in target areas with four major functions: (1) real-time display of geo-tagged tweets within the target area; (2) interactive mapping functions; (3) spatial, text, and temporal search functions using keywords, spatial boundaries, or dates; and (4) manual labeling and text-tagging of messages. Different from traditional web GIS maps, the user interface design of GeoViewer provides the interactive display of multimedia content and maps. The front-end user interface to visualize and query tweets is built with open source programming libraries using server-side MongoDB. GeoViewer is built for assisting emergency responses and disaster management tasks by tracking disaster event impacts, recovery activities, and residents’ needs in the target region.

The ADEPT Framework for Intelligent Autonomy

Abstract: This paper describes the design and implementation of Draper Laboratory’s All-Domain Execution and Planning Technology (ADEPT) architecture for intelligent autonomy. Intelligent autonomy is the ability to plan and execute complex activities in a manner that provides rapid, effective response to stochastic and dynamic mission events. Thus, intelligent autonomy enables the high-level reasoning and adaptive behavior for an unmanned vehicle that is provided by an operator in man-in-the-loop systems. Draper’s intelligent autonomy has architecture evolved over a decade and a half beginning in the mid 1980’s [3, 4, 6 and 12] culminating in an operational experiment funded under DARPA’s Autonomous Minehunting and Mapping Technologies (AMMT) unmanned undersea vehicle program [15]. ADEPT continues to be refined through its application to current programs that involve air vehicles, satellites and higher-level planning used to direct multiple vehicles. The objective of ADEPT is to solidify a proven, dependable software approach that can be quickly applied to new vehicles and domains. The architecture can be viewed as a hierarchical extension of the sense-think-act paradigm of intelligence and has strong parallels with the military’s Observe-Orient-Decide-Act (OODA) loop [14]. The key elements of the architecture are planning and decision-making nodes comprising modules for situation assessment, plan generation, plan implementation and coordination. A reusable, object-oriented software framework has been developed that implements these functions. As the architecture is applied to new areas, only the application specific software needs to be developed. This paper describes the core architecture in detail and discusses how this has been applied in the undersea, air, ground and space domains.

Overview of situation management at SIMA 2005

Abstract: This paper is an introduction to the Workshop on Situation Management, SIMA 2005. We discuss the scope of the workshop, the big picture of situation management, and a summarization of the papers selected for inclusion in the workshop. Topics include situation knowledge acquisition, learning & situation recognition, structural & behavioral modeling of sensor networks, robotic sensors & mobile sensor grids, advanced architectures for situation awareness, and human-centric situation management. We conclude with a discussion of hard, outstanding challenges in situation management and future R&D areas

Situational awareness support to enhance teamwork in collaborative environments

Abstract: Motivation -- Modern collaborative environments often provide an overwhelming amount of visual information on multiple displays. The multitude of personal and shared interaction devices leads to lack of awareness of team members on ongoing activities, and awareness of who is in control of shared artefacts. This research addresses the situational awareness (SA) support of multidisciplinary teams in co-located collaborative environments. This work aims at getting insights into design and evaluation of large displays systems that afford SA and effective teamwork.Research approach -- An exploratory (Wassink et al., 2008) as well as experimental approach is applied. The results of our exploratory studies, which included contextual observations, interviews and task analysis, have been translated into requirements for support of multidisciplinary teamwork in life sciences (Kulyk and Wassink, 2006). Currently we perform practical case studies in omics experimentation domain (Kulyk et al., 2007). In a first controlled study we assess shared SA of team members, providing new SA concepts on a shared large display.Findings/Design -- We developed several concepts for SA support on large shared displays. Memory Board is an interface that automatically stores and visualizes the activity history on a shared large display. This allows team members to retrieve annotations made on previous slides or visualizations. It also provides awareness of who is currently in control of any display, and who is manipulating and annotating the visualizations. Highlighting on Demand interface enables a team member to highlight or fade out any part of a display using any personal interaction device.Take away message -- Designing systems that support situational awareness is of great importance to ensure that a collaborative environment enables efficient and effective team coordination and decision making.