donniebaseball23 writes "Reporting on new research from WIREs Cognitive Science, IndustryGamers writes: 'Action games like Call of Duty and Halo can enhance visual attention, the ability that helps us focus on relevant visual information. The mental mechanism allows people to select pertinent visual information and ignore irrelevant information. It suggests that action titles can be used to augment military training, educational tools, and correct visual deficits.' Shawn Green, co-author of the study, commented, 'At the core of these action video game-induced improvements appears to be a remarkable enhancement in the ability to flexibly and precisely control attention, a finding that could have a variety of real-world applications. For example, those in professions that demand "super-normal" visual attention, such as fighter pilots, would benefit enormously from enhanced visual attention, as their performance and lives depend on their ability to react quickly and accurately to primarily visual information."

Ponca City, We love you writes to tell us that a new software approach to police sketch artists is finding surprising success in a trial run of 15 police departments in the UK and a few other sites. The software borrows principles from evolution with an interactive genetic algorithm that progressively changes as witnesses try to remember specific details. Current field trials are reporting an increase in successful identification by as much as double conventional methods. A short video with a few working shots of the new "EFIT-V" system is also available on YouTube. "[Researcher Christopher Solomon]'s software generates its own faces that progressively evolve to match the witness' memories. The witness starts with a general description such as 'I remember a young white male with dark hair.' Nine different computer-generated faces that roughly fit the description are generated, and the witness identifies the best and worst matches. The software uses the best fit as a template to automatically generate nine new faces with slightly tweaked features, based on what it learned from the rejected faces. 'Over a number of generations, the computer can learn what face you're looking for,' says Solomon. The mathematics underlying the software is borrowed from Solomon's experience using optics to image turbulence in the atmosphere in the 1990s."