Presenting Information in Simulated Real-Time to Support Part-Task Weather Scenarios

Baumgart, Leigh A.; Bass, Ellen J.

doi:10.1109/icsmc.2006.385135

Cited by 4 publications

(9 citation statements)

References 5 publications

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“…The participants then received further training and completed a second scenario not discussed herein (see Baumgart et al 2006 for more detail). For observation, at least one analyst was paired with each participant.…”

Section: Methodsmentioning

confidence: 99%

Emergency Management Decision Making during Severe Weather

Baumgart

Bass

Philips

et al. 2008

Weather and Forecasting

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Emergency managers make time-sensitive decisions in order to protect the public from threats including severe weather. Simulation and questionnaires were used to capture the decision-making process of emergency managers during severe weather events. These data were combined with insights from emergency manager instructors, National Weather Service (NWS) forecasters, and experienced emergency managers to develop a descriptive decision-making model of weather information usage, weather assessments, and decisions made during severe weather. This decision-making model can be used to develop better decision support tools, improve training, and to understand how innovative weather information could potentially affect emergency managers' role of protecting the public.

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Section: Methodsmentioning

confidence: 99%

Emergency Management Decision Making during Severe Weather

Baumgart

Bass

Philips

et al. 2008

Weather and Forecasting

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“…The two part-task weather scenarios were presented via a tool developed for this study (Baumgart and Bass, 2006). It displays archived weather products at specific times during the scenarios.…”

Section: Apparatusmentioning

confidence: 99%

Emergency Management Decision-Making during Severe Weather

Baumgart

Bass

Philips

et al. 2006

Proceedings of the Human Factors and Ergonomics Society Annual

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The Collaborative Adaptive Sensing of the Atmosphere (CASA) project will provide its end users with new weather radar data with finer spatial and temporal resolution than existing WSR-88D data. It is not clear what impact this new information will have on emergency managers. This work introduces a descriptive decision-making model of emergency management during the four severe weather phases: Pre-Storm, Severe Weather Watch, Severe Weather Warning, and Severe Weather Event. The initial model describes EMs' use of information and their decisions made. Eleven emergency managers participated in three questionnaires and two part-task simulated weather scenarios based on archived weather data. This work then refines the Severe Weather Warning phase of the model by validating the entries and adding data concerning the role of the information and precursors to decisions made and actions taken. The scenarios also highlight problems that EMs have with interpreting velocity data and with integrating data from multiple radar sources. These results will impact CASA system visualization design and training.

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“…EMs make time-sensitive decisions to warn the public of threats and link the NWS and other stakeholders (Baumgart et al 2008). Additionally, EMs direct and protect mobile storm spotters responsible for providing "ground truth" data to better assess weather hazards (Baumgart and Bass 2006;Baumgart et al 2006). Thus, the role of EMs cannot be overemphasized, particularly in parts of the country prone to hazardous weather events, such as the southern Great Plains.…”

Section: Introductionmentioning

confidence: 99%

“…As early as 1985, researchers have studied the impact of emergency response on life and property saved (Petak 1985). However, these decision-makers have been a challenging group to study because of a vast diversity in job roles, responsibilities, jurisdiction, training, tools available, responsibilities, experience level, and decision-making methods (Baumgart et al 2008;Baumgart and Bass 2006;Baumgart et al 2006;Doswell et al 1999;Lusk et al 1990).…”

Section: Introductionmentioning

confidence: 99%

“…Perhaps the greatest challenge for officials responsible for public safety is integrating information from multiple sources with different content, structure, and update rates (Baumgart and Bass 2006). According to Morss and Ralph (2007), EMs have to follow a general decision cycle involving the identification of an event's increasing potential of occurrence.…”

Section: Introductionmentioning

confidence: 99%

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Assessing the Impacts of a Weather Decision Support System for Oklahoma Public Safety Officials

Na-Yemeh

Fiebrich

Hocker

et al. 2022

Weather, Climate, and Society

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Oklahoma’s First-response Information Resource System using Telecommunications (OK-First) has been used for many years to provide education, training, connections, and follow-up support for public safety officials with emergency management responsibilities in Oklahoma. Public safety officials use OK-First training and Mesonet tools to plan and make decisions to save lives and property. However, like most public systems, little is known about user interactions with tools, decisions made, and estimated savings using a weather decision support system. This study used a mixed approach of instruments and methods to collect and analyze data from three key sources to assess the perceptions, beneficiaries, and applications of weather support systems for public safety officials. Results showed that a diverse set of tools were needed and used by public safety officials to make decisions in hazardous weather conditions. OK-First tools resulted in estimated self-reported cost savings of over $1.2 M for 12 months. This study provides a crucial step in determining user interactions with tools, training, and services to better understand weather decision support systems used during hazardous weather.

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Presenting Information in Simulated Real-Time to Support Part-Task Weather Scenarios

Cited by 4 publications

References 5 publications

Emergency Management Decision Making during Severe Weather

Emergency Management Decision Making during Severe Weather

Emergency Management Decision-Making during Severe Weather

Assessing the Impacts of a Weather Decision Support System for Oklahoma Public Safety Officials

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