Threat Recognition Trainer Train your attention for spotting average situations that have the potential of escalating into unpleas...
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Threat Recognition Trainer Description

Sooner or later, most people are faced with social situations that might degenerate into a conflict. Spotting these encounters and, more importantly, avoiding them can make the difference between a nice evening out and a tense encounter that could turn into more than just a brawl. Threat Recognition Trainer is a simple tool that can help spot potential danger and thus have the opportunity to keep clear of it.Interface is simple but efficientThe application sports a straightforward interface that cuts straight to the chase. The way it works is explained clearly eliminating any chance of misunderstanding the instructions. It comes with a set of images depicting individuals in different moods and you have to assess the danger level they pose just by glancing at them. There according to the depicted behavior they can fit one of the four levels represented by the developer through colors: yellow for general awareness, orange for elevated attention, red for higher alert and black for imminent conflict. Training your attentionBy default, an image is shown for three seconds and you have to analyze the general state of the individual, assessing if he poses a risk or not. After the display time elapses you are faced with choosing a threat level. The three-second display is the longest as the other options allow viewing of the picture for as little as one tenth of a second. Also present in the interface are statistics about your accuracy in pinpointing threatening situations. These include the percentage of correct answers, underestimations, overestimations as well as the total number of situations presented. ConclusionThreat Recognition Trainer is specifically designed for those that don’t have a knack at interpreting body language and improve their awareness to the dangers that might lurk behind what appears normal behavior. It does all the training and provides accuracy statistics to check for improvements. Reviewed by Ionut Ilascu, last updated on February 25th, 2014

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