397,080 research outputs found

    Friendly Fire

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    Friendly Fire

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    Beyond Triple Zero: towards a digital, proactive emergency response

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    Whether for police, ambulance or fire fighters, the future of emergency communication is expected to be digital-friendly, flexible and diversified

    Friendly Fire Off

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    The increasing popularity of online videogames has raised questions concerning their potential to influence online and offline social behaviour. Previous research on social behaviour in relation to playing videogames has often focused on either cooperation (playing in pairs against the game) or competition (playing alone against other players); however, videogames, particularly multiplayer online games, often include both. This study investigates prosocial behaviour in videogames with both cooperative and competitive elements—team-based player versus player (PvP) games—and aims to examine whether the amount of time spent playing these games is related to in-game prosocial behaviour. A cross-sectional survey was conducted among 727 respondents and results were analysed using conditional process modelling. No significant direct or indirect relationship between the amount of time spent playing team-based PvP games and in-game prosocial behaviour was found. However, an exploratory linear regression analysis revealed a significant, positive relationship between in-game and offline prosocial behaviour. Implications and recommendations for future research are discussed

    Friendly Fire and the Sustained Attention to Response Task

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    Objective: We investigated whether losses of inhibitory control could be responsible for some friendly-fire incidents. Background: Several factors are commonly cited to explain friendly-fire incidents, but failure of inhibitory control has not yet been explored. The Sustained Attention to Response Task (SART) could be a valid model for inhibition failures in some combat scenarios. Method: Participants completed small-arms simulations using near infrared emitter guns, confronting research assistants acting as friends or foes. In Experiment 1, seven participants completed three conditions with three different proportions of foes (high, medium, low). In Experiment 2, 13 participants completed high-foe (high-go) and low-foe (low-go) versions of a small-arms simulation as well as comparative computer tasks. Results: Participants made more friendly-fire errors (errors of commission) when foe proportion was high. A speed–accuracy trade-off was apparent, with participants who were faster to fire on foes also more likely to accidentally shoot friends. When foe proportion was higher, response times to foe stimuli were faster, and subjective workload ratings were higher. Conclusion: Failures of inhibitory control may be responsible for some friendly-fire incidents and the SART could be a suitable empirical model for some battlefield environments. The effect appears to be disproportionately greater at higher foe proportions. The exact nature of performance reductions associated with high-foe proportions requires further investigation. Application: The SART may be a useful model of friendly-fire scenarios. It could be used to indicate a soldier’s likelihood to commit a friendly-fire mistake and to identify high-risk environments

    Casualties Of War: The \u27Tragedy Without A Name\u27 Took Its Toll

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    Soldiers accidentally killing their comrades in combat has been an unfortunate and often under-represented aspect of nearly every war. The Civil War is no exception. In Friendly Fire in the Civil War, Webb Garrison chronicles incidents of friendly fire in over 100 Civil War battles. Written ...

    The Friendly versus Hostile Fire Dichotomy

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    Modeling the risk process in the XploRe computing environment

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    A user friendly approach to modeling the risk process is presented. It utilizes the insurance library of the XploRe computing environment which is accompanied by on-line, hyperlinked and freely downloadable from the web manuals and e-books. The empirical analysis for Danish fire losses for the years 1980-90 is conducted and the best fitting of the risk process to the data is illustrated. --
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