Emergency Response Planning and Training through Interactive Simulation and Visualization with Decision Support

Campbell, Bruce; Mete, Huseyin Onur; Furness, Thomas A.; Weghorst, Suzanne; Zabinsky, Zelda B.

doi:10.1109/ths.2008.4534445

Cited by 22 publications

(18 citation statements)

References 9 publications

(5 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Visualization is an important mechanism when working with large amounts of data as sensor data. It makes more comfortable for users to interact within, as for select or filter data of interest, data can be understood faster and easier [3,6]. However, visualizing sensor data is not a trivial task.…”

Section: Overviewmentioning

confidence: 99%

“…Nowadays, data visualization is increasingly resorted considering the tremendous benefits by creating, exploring and interacting with large collections of data. Visualization currently supports several tasks such as medical diagnosis [1,2], training simulations [3] or architectural reconstructions [4], as well as monitoring streams of data coming from sensors employed on several application domains like transportation or environmental [5].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Visualizing Sensor Data: Towards an Experiment and Validation Platform

Rodríguez

Déry-Pinna

2012

Human-Centered Software Engineering

View full text Add to dashboard Cite

Part 3: Short PapersInternational audienceIn the last decade, technological improvement on sensors increasingly motivates the use of sensor data in numerous application domains such as environmental, health, transportation, etc. Progressively, with the advances on user terminals, there is a strong trend towards interactive sensor data visualization. As viewing raw sensor data stored in multiple databases does not specially fulfill user requirements, data visualization raises challenges about supporting users to easily use and handle sensor data. In this paper, we address this particular subject with an extensible visualization and interaction platform. Within this platform, we provide developers the facility to experiment and validate multiple visualizations for sensor data, specially based sensor data properties and users’ requirements. We illustrate our platform with a medical study case focused on ECG data visualization

show abstract

Section: Overviewmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Visualizing Sensor Data: Towards an Experiment and Validation Platform

Rodríguez

Déry-Pinna

2012

Human-Centered Software Engineering

View full text Add to dashboard Cite

show abstract

“…Various devices have been developed for use in the field, such as wireless sensor networks (Wilson et al, 2010;Yang et al, 2009), wearable augmented reality systems (Thomas et al, 2003), and mobile communication devices (Chittaro et al, 2007;Rossnagel et al, 2010). Research has also promoted training prior to a disaster using interactive simulation and visualization (Campbell et al, 2008) as well as improved assessment of the efficiency of these emergency systems (Kim et al, 2007). Lastly, research efforts have focused on communication within the community through the use of SMS-based emergency alert systems (Wu et al, 2008), and involving community members in the reporting of emergency situations (Palen et al, 2010;Shneiderman and Preece, 2007), which is an important consideration given the prevalence of social networking use.…”

Section: Research On Emergency Response Systems and Dispatch Systemsmentioning

confidence: 99%

Designing Emergency Response Dispatch Systems for Better Dispatcher Performance

McNab¹,

Hess²,

Valacich³

2011

THCI

View full text Add to dashboard Cite

Ping Zhang was the accepting Senior Editor. This article was submitted on 4/20/2010 and accepted on 2/12/2011. It was with the authors 230 days for 2 revisions. Emergency response systems are a relatively new and important area of research in the information systems community. While there is a growing body of literature in this research stream, human-computer interaction (HCI) issues concerning the design of emergency response system interfaces have received limited attention. Emergency responders often work in time pressured situations and depend on fast access to key information. One of the problems studied in HCI research is the design of interfaces to improve user information selection and processing performance. Based on cue-summation theory and research findings on parallel processing, associative processing, and hemispheric differences in information processing, this study proposes that information selection of target information in an emergency response dispatch application can be improved by using supplementary cues. Color-coding and sorting are proposed as relevant cues that can improve processing performance by providing prioritization heuristics. An experimental emergency response dispatch application is developed, and user performance is tested under conditions of varying complexity and time pressure. The results suggest that supplementary cues significantly improve performance, with better results often obtained when both cues are used. Additionally, the use of these cues becomes more beneficial as time pressure and task complexity increase.

show abstract

“…Some solutions have sought to use automation to structure or filter the information presented to team members, for instance, through fuzzy cognitive maps (Peruish and McNeese, 2006), semantics and ontologies (Boury-Brisset, 2008), metadata (Loomis et al, 2008). The measurement of SSA has received much attention (Miller and Shattuck, 2006) (Krueger and Banderet, 2007) (Hasan et al 2007) (Campbell et al, 2008) (Salmon et al, 2008), notably how SSA can be supported by technology (Yue et al, 2003) (Schwartz et al, 2008) and that poor choices in technology can impede its formation (Ali, 2006) (Pascoe and Ali, 2006). The research sits alongside the study of human factors that shape SSA (Huber et al, 2007) (Hutchins et al, 2007) (Rosen et al, 2008), and within the characterisation of NCW systems-of-systems; for instance, their architectures (Dekker, 2005) (Nyamekye, 2007), organisation (Sengupta and Jones, 1999) and effectiveness (Parnell et al, 2001) (Perry and Bowden, 2003).…”

Section: Human-centred Design and Sharing Of Situation Awarenessmentioning

confidence: 99%

2.1.2 Engineering in the Network Dimension to Enhance the Human Dimension – A Framework for Analysis and Design

Hew

2009

INCOSE International Symp

View full text Add to dashboard Cite

The way that warfighters share awareness and fight as a team is substantially influenced by choices in networking technologies and interface standards. There is a need for techniques and tools for analysing these choices, to improve Network-Centric Warfare (NCW) systems-of-systems from human-centred design principles. This paper proposes a framework with three features: first, it identifies opportunities for enhanced sharing of situation awareness across warfighters; second, it clarifies the nature of the requisite technologies and systems; and third, it starts to quantify the relative warfighting advantages that should arise. The framework is illustrated by case studies in maritime air defence and naval surface fire support.

show abstract

Emergency Response Planning and Training through Interactive Simulation and Visualization with Decision Support

Abstract: Abstract-Teams

Cited by 22 publications

References 9 publications

Visualizing Sensor Data: Towards an Experiment and Validation Platform

Visualizing Sensor Data: Towards an Experiment and Validation Platform

Designing Emergency Response Dispatch Systems for Better Dispatcher Performance

2.1.2 Engineering in the Network Dimension to Enhance the Human Dimension – A Framework for Analysis and Design

Contact Info

Product

Resources

About