The leadership of the Defense Innovation Board made twelve recommendations for future work with the DOD.
Is gamification and gaming an option?
Today’s kids grow up within hundreds of online action games that are often multiplayer, and involve dexterity, thoughtfulness, and decision-making skills. All are known as Role-Playing Games (RPG). So, yes, it may seem a bit peculiar, but the defense of the nation may best evolve by embracing gaming and gamification!
In a rather deferential and overly-managerial fashion, the Defense Innovation Board (partially pictured above) issued a series of recommendations to the Department of Defense (DOD). One of them is to “…to cut … training time in half…”.
My recommendation to increase the speed of absorption-and-implementation is to engage an emerging type of gamification.
One of the world’s most-informed, most-intuitive gamification gurus is just across the bay from Silicon Valley in Fremont, Yu-kai Chou, (pronounced “U·K”) who wrote the book, Actionable Gamification (2015).
Now, what does actionable gamification have to do with defending the nation? Answer: Everything.
Yu-kai Chou is slowly changing the dynamics of the gaming industry. Already a multibillion-dollar industry, gaming is primarily driven forward by (1) new, more powerful algorithms, (2) much more powerful machines-and-graphics cards, (3) greater throughput speeds and bandwidth and (4) an abundance of online information that can now be dynamically harvested to change the look and feel and outcomes of games. It is also changing because of people like Yu-kai who are at the cutting edge of behavioral design.
Yu-kai Chou is Taiwanese and has been hugely successful in the gamification (engagement, motivation, and behavioral design) space.
Gaming has also become one of the primary drivers of social and mobile technologies. To train and manage management, employees, customers and suppliers, games are increasingly being employed. Here Yu-kai Chou has redefined the parameters by which players engage their environment, co-players, and their challenges.
Going forward an even greater challenge will be to integrate scales that include algorithms that work with the Standard Models, and then go beyond and begin to work within the 202 doublings, our application of base-2 exponentiation.
So, yes, there is much more to come…