Since June of this year, BOOM Salad has been renting its own “servers” for the violent video game, Battlefield 4. This means that, for the past several months, we have paid a company for the privilege of managing and maintaining our own online, multiplayer environment for the game. Virtually anyone in the world, who owns Battlefield 4, and has access to a high-speed Internet connection, can play on our servers.
In the 120 days that our Playstation 3 (PS3)server has been operational, and open to the public, we have played with and against a wide variety of age groups, cultures, ethnicities, and genders. This has afforded us a unique opportunity to observe and participate, first-hand, in what’s known as worldwide, multiplayer gaming, or, Massively Multiplayer Online Gaming (MMO, see Figure 1).
Important examples of the genre include World of Warcraft and Minecraft. The game, Minecraft, has become a global, cultural phenomenon, somewhere on par with the Pacman craze of the early-1980’s. But more than just a simple maze in which the goal never changes, and never gets beyond the consumption of dots, fruit, and ghosts, Minecraft may very well be one of the most subtly complex video games ever devised.
Like its namesake, it is best to think of the game as having “layers” of complexity. Each layer provides numerous opportunities for pro-social, empathetic interaction with other players online. The number of players that can participate in a single session interactively depends on the platform, but for consoles like the Playstation 4 (PS4), the maximum is eight at a time.
In conversations we have had with younger players of Minecraft, we were told, time and again, that the primary motive for playing was building things with their friends. And by, “building things,” we don’t mean swords, and bombs, and other weapons, though all that is possible. The children we spoke with were far more interested in building castles with incredibly ornate bedrooms, and underground dwellings (see video below). And yet, because the game includes depictions of violence in its battle play (which can be turned on or off), it is equated with other, so-called “violent-video games,” like Battlefield 4, and is, therefore, considered by many in the medical community to be, “harmful [to society].”.
In Parts I and II of this series, we demonstrated how the arguments against video games with violent depictions are based on a so-called, “link,” between real-world violence and video game violence. This “link” is observable, according to various medical studies,  in those who play violent video games, in the measurable decline in cognitive function in areas that are known to regulate and influence aggressive and violent behavior. Whether or not these conclusions are accurate,  the fact is they do not provide a satisfying answer to the most important question of all, (something BOOM Salad has endeavored to do since our first issue, ): Why do people play these games in the first place?
Towards the end of the twentieth century, medical researchers and behaviorists all over the world were looking at the similarities between so-called, “violent media,” such as film and TV, and video games that depicted violence in their gameplay. For many, and certainly all of those who generously gave their time to BOOM Salad in interviews, and other assistance, their motives were simple, protect those who are amongst the most vulnerable in society: children and young people. For this reason, BOOM Salad acknowledges and honors the efforts of these women and men of science, and others who have sought to shine a light on why and how video games affect those that play them, why they make us go “BOOM!” as it were, and the corollary effect of video gaming on society in general.
Over the past few months, BOOM Salad has interviewed several researchers considered to be amongst the first to study the relationship between behavior and video games, including Dr. Vincent P. Matthews, Chair of Radiology, Medical College of Wisconsin; Dr. Yang Wang, Associate Professor, Medical College of Wisconsin, Division of Imaging Sciences; and Dr. Brad Bushman, Professor of Communication and Psychology, Ohio State University. The premise of their investigations was based on the assumption that violent-video games are a genre of violent media (see the clinical definition of “violent media” below). As such, previous research suggested that high exposure to violent-video games would likely cause increased aggression in cognition, affect, and arousal. From this starting point, researchers were able to rely on the confidence of medical studies conducted over the past 60 years that have consistently demonstrated the causal relationship between high Violent Media Exposure (VME) and aggressive bias and behavior.
Like their predecessors and contemporaries, the individuals we spoke with were world-class researchers with sufficient funding to establish the credibility of their results. Thus, to challenge the veracity of their findings would be misguided and unfruitful. That is not to say that we agree with their conclusions, quite the contrary, we do not, and for what we believe to be good reasons.
In the following, Part IIa and IIb of the Uncanny Violence of Video Games, BOOM Salad will demonstrate a fundamental error in the theory at the heart of the anti-violent video game argument, while at the same time offering an alternative hypothesis as to how and why these games affect our behavior. Our goal, much like that of the doctors we interviewed, is to root out the cognitive and behavioral context that underlies the ever-increasing fascination with video games in global society. Only by understanding what compels individuals to play the games, can we better determine how it is affecting them and their behavior.
As always, it is our Primary Objective that you will enjoy and be challenged by our efforts. – BOOM.
How do we determine how someone is feeling? One way, is by examining his or her expression (see Figure 1). Do they look happy, or sad? Are they smiling, or are they frowning?
Another way is through listening to their voice and analyzing their vocal expressions. Do they sound happy or angry? Are they saying words that would indicate happiness or aggression? Through these and other clues, humans “predict” the feelings and actions of those around them.
But even with the availability of all this visual and auditory data, we can never be 100% sure how someone is feeling. Why? Because emotions are “unobservable states” that “dynamically change”. In other words, emotions cannot be viewed directly, we cannot see into a person’s psychology and understand, as they do, how they are feeling. Moreover, emotions can change in an instant.
For example, when we consume visual media, like film and TV, it is not unusual to feel different emotions as the program progresses. At one moment we are fearful, and then another, hopeful or relieved, and perhaps even at the end, we might feel happy or euphoric, all within the span of two hours. The Entertainment industry relies on this powerful ability to visually and emotionally engage its viewers, as a form of incentive to pay for its products.
Given this, the best we can do in assessing how one is feeling at a particular moment in time, is in observing and interpreting her or his behavior and mannerisms. Most of the time, this is sufficient to accurately assess someone’s current emotional state, but because of our own limitations to perceive the “unobservable,” we make mistakes resulting in a misinterpretation of a person’s actual feelings.
To increase the reliability of these observations, medical researchers and behaviorists have developed a number of theoretical models. One of the most important of these is known as the “reinforcement learning model (RL)”. The RL provides a useful methodology to understanding so-called, “rewards-based behaviors.”
According to the RL, rewards provide an incentive that leads to what is known as, “operant conditioning,” in which a person will voluntarily change her or his behavior and behavior paradigm to receive a reward . For example, a child is promised a reward if she or he does well on a math test (see Figure 2). To attain this reward, the child voluntarily changes her or his behavior by studying more or paying more attention to homework assignments. When the reward is received, these changes in behavior become part of the behavioral algorithm used by the child to determine her or his actions in a given environment.
Bad Behavior has blocked 173 access attempts in the last 7 days.