Military situation awareness: Facilitating critical event detection in chat

2006 ◽  
Author(s):  
Jean M. Catanzaro ◽  
Matthew R. Risser ◽  
John W. Gwynne ◽  
Daniel I. Manes
Keyword(s):  
Situation Awareness ◽  
Event Detection ◽  
Critical Event

Military Situation Awareness: Facilitating Critical Event Detection in Chat

2006 ◽  
Vol 50 (4) ◽  
pp. 560-564 ◽  
Author(s):  
Jean M. Catanzaro ◽  
Matthew R. Risser ◽  
John W. Gwynne ◽  
Daniel I. Manes
Keyword(s):  
Situation Awareness ◽  
Event Detection ◽  
Critical Event

Social Media for Disaster Awareness and Management

2019 ◽  
pp. 82-116
Author(s):  
Akhila Manne ◽  
Madhu Bala Myneni
Keyword(s):  
Social Media ◽  
Emergency Management ◽  
Crisis Management ◽  
Disaster Management ◽  
Situation Awareness ◽  
Event Detection ◽  
Classification Methods ◽  
Management Tools ◽  
Awareness Information ◽  
Disaster Management System

Social media has redefined crisis management in the recent years. Extraction of situation awareness information from social media sites such as Twitter, Facebook, Instagram, etc. is a non-trivial task once the required framework is established. Unfortunately, most public safety authorities are still suspicious of using social media in engaging and disseminating information. This chapter reports on how social media can be effectively used in the field of emergency management along with the opportunities and challenges put forth. The chapter starts with a discussion on the functions of social media and its trustworthiness. It provides a description of the framework for disaster management system and the methodology to be adopted. The methodology consists of volunteer classification, methods of data collection, challenges faced, event detection, and data characterization with currently available disaster management tools. The chapter concludes with the division between practice and research and moves toward envisioning how social media may be used as a resource in emergency management.

The Use of Brain Evoked Response in a Critical Event Detection Task

1985 ◽  
Vol 29 (10) ◽  
pp. 962-965
Author(s):  
Glenn F. Wilson ◽  
Sharon L. Ward ◽  
Reuban L. Hann
Keyword(s):  
Laboratory Test ◽  
Evoked Potentials ◽  
System Design ◽  
Event Detection ◽  
Reaction Times ◽  
Evaluation Process ◽  
Detection Task ◽  
Critical Event ◽  
Positive Component ◽  
Late Positive Component

Brain evoked potentials (EP) were used to study subject responses to “critical events” (CEs) which were part of a series of stimuli. Both reaction times (RT) and EPs were influenced by the appearance of the CE. Longer RTs and a large late positive component of the EP were associated with the trials containing the CE stimuli. Intermediate RTs and late positive components of the EPs were found in a condition in which the stimulus preceding the CE gave information about the following CE and was also similar in appearance. While this is a laboratory test, it is similar in many ways to actual situations confronted by human factors specialists. EPs appear, then, to be useful tools in the system design and evaluation process.

Using an Event-Detection Measure to Assess Drivers' Attention and Situation Awareness

2005 ◽  
Vol 49 (22) ◽  
pp. 2004-2008 ◽  
Author(s):  
Leo Gugerty ◽  
Melissa Falzetta
Keyword(s):  
Performance Measures ◽  
Situation Awareness ◽  
Event Detection ◽  
Richard Wright ◽  
Attention Capture ◽  
Attention Allocation ◽  
Single Measure ◽  
Advantages And Disadvantages ◽  
Answering Questions ◽  
Implicit Performance

In this paper we describe an event-detection measure for assessing drivers' attention and situation awareness during driving, and present data from a study using this measure. In this study, drivers detected traffic events directly in front of them most frequently, events in an oncoming front lane less frequently, and events behind them least often. Drivers also detected swerve events more frequently than deceleration events. We compare the event-detection measure to other measures of attention and situation awareness used to assess driving: the SAGAT technique (Endsley, 1995), implicit-performance measures (Durso & Gronlund, 1999), and the flicker paradigm (Richard, Wright & Ee, 2002). Each of the above measures has advantages and disadvantages, and no single measure is optimal. However, we argue that the eventdetection measure has some advantages over other techniques in answering questions regarding mechanisms of attention allocation and attention capture and how these two mechanisms interact during driving.

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