Category Archives: Research

The Persona is Dead, Long Live the Person

First, let me go on record as saying up to this point, I’ve been a fan of personas. In my past marketing and usability work, I used personas extensively as a tool. But I’m definitely aware that not everyone is equally enamored with personas. And I also understand why.

Personas, like any tool, can be used both correctly and incorrectly. When used correctly, they can help bridge the gap between the left brain and the right brain. They live in the middle ground between instinct and intellectualism. They provide a human face to raw data.

But it’s just this bridging quality that tends to lead to abuse. On the instinct side, personas are often used as a short cut to avoid quantitative rigor. Data driven people typically hate personas for this reason. Often, personas end up as fluffy documents and life sized cardboard cutouts with no real purpose. It seems like a sloppy way to run things.

On the intellectual side, because quant people distrust personas, they also leave themselves squarely on data side of the marketing divide. They can understand numbers – people not so much. This is where personas can shine. At their best, they give you a conceptual container with a human face to put data into. It provides a richer but less precise context that allows you to identify, understand and play out potential behaviors that data alone may not pinpoint.

As I said, because personas are intended as a bridging tool, they often remain stranded in no man’s land. To use them effectively, the practitioner should feel comfortable living in this gap between quant and qual. Too far one way or the other and it’s a pretty safe bet that personas will either be used incorrectly or be discarded entirely.

Because of this potential for abuse, maybe it’s time we threw personas in the trash bin. I suspect they may be doing more harm than good to the practice of marketing. Even at their best, personas were meant as a more empathetic tool to allow you to thing through interactions with a real live person in mind. But in order to make personas play nice with real data, you have to be very diligent about continually refining your personas based on that data. Personas were never intended to be placed on a shelf. But all too often, this is exactly what happens. Usually, personas are a poor and artificial proxy for real human behaviors. And this is why they typically do more harm than good.

The holy grail of marketing would be to somehow give real time data a human face. If we could find a way to bridge left brain logic and right brain empathy in real time to discover insights that were grounded in data but centered in the context of a real person’s behaviors, marketing would take a huge leap forward. The technology is getting tantalizingly close to this now. It’s certainly close enough that it’s preferable to the much abused persona. If – and this is a huge if – personas were used absolutely correctly they can still add value. But I suspect that too much effort is spent on personas that end up as documents on a shelf and pretty graphics. Perhaps that effort would be better spent trying to find the sweet spot between data and human insights.

The Secret of Successful Marketing Lies in Split Seconds

affordanceThe other day, I was having lunch in a deli. I was also watching the front door, which you had to push to get in. Almost everyone who came to the door pulled, even though there was a fairly big sign over the handle which said “Push.” The problem? The door had the wrong kind of handle. It was a pull handle, not a push. The door had been mounted backwards. In usability terms, the door handle presented a misleading affordance.

I suspect the door had been there for many years. I was at the deli for about 30 minutes. In that time, about 70% of the people (probably close to 50) pulled rather than pushed. Extrapolating this to the whole, that means over the years, thousands and thousands of people have had to try twice to enter this particular place of business. Yet, the only acknowledgement of this instance of customer pain was the sign that had been taped to the door – “Push” – and I suspect there was an implied “(You Idiot)” following that.

I suspect most marketing falls in the same category as that sign. It’s an attempt to fight the intuitive actions that customers take – those split-second actions that happen before our brain has a chance to kick in. And we have to counteract those split-second decisions because the path we have created for our customers was built without an understanding of those intuitive actions. After we realize that our path runs counter to our customer’s natural behaviors do we rebuild the path? Does the deli owner pay a contractor to remount the door? No, we post a sign asking customers to push rather than pull. After all, all they have to do is think for a moment. It seems like a reasonable request.

But here’s the problem with that. You don’t want your customers to think. You want them to act. And you want them to act as quickly and naturally as possible. The battles of marketing are won in those split seconds before the brain kicks in.

Let me give you one example. A few years ago I did a study with Simon Fraser University in Canada. We wanted to know how the brain responded in those same split seconds to brands we like versus brands we have no particular affinity to. What we found was fascinating. In about 150 milliseconds (roughly a sixth of a second) our brain responds to a well-loved brand the same way we respond to a smiling face. This all happens before any rational part of the brain can kick in. This positive reaction sets the stage for a much different subsequent mental processing of the brand (which starts at about 450 milliseconds, or half a second). And the power of this alignment can be startling. As Dr. Read Montague discovered, it can literally alter your perception of the world.

If you can rebuild your path to purchase to align with your customer’s intuitive behaviors, you don’t need to put up “push” signs when they stray off course. You don’t have to make your customers think. Here’s why that is important. As long as we operate at the intuitive level, humans are a fairly predictable lot. Evolution has wired in a number of behaviors that are universal across the population. You would not be risking your vacation fund if you placed a bet that the majority of people would try to pull a door with a door handle that suggested your should pull it, even if there was a sign that said “push.” As long as we operate on auto-pilot, we can plot a predicted behavioral course with a fair degree of confidence (assuming, of course, we’ve taken the time to understand those behaviors).

But the minute we start to think, all bets are off. The miracle of the human brain is that it has two loops of activity – one fast and one slow. The fast loop relies on instinct and evolved behavioral habits. It’s incredibly efficient but stubbornly rigid. The slow loop brings the full power of human rationality to bear on the problem. It’s what happens when we think. And once the prefrontal cortex kicks it, we are amazingly flexible but we pay the price in efficiency. It takes time to think. It also brings a massive amount of variability into the equation. If we start thinking, behaviors become much more difficult to predict.

The longer you can keep your customers on the fast path, the closer you’ll be to a successful outcome. Plan that path carefully and remove any signs telling them to “push.”

The Messy Part of Marketing

messymarketingMarketing is hard. It’s hard because marketing reflects real life. And real life is hard. But here’s the thing – it’s just going to get harder. It’s messy and squishy and filled with nasty little organic things like emotions and human beings.

For the past several weeks, I’ve been filing things away as possible topics for this column. For instance, I’ve got a pretty big file of contradicting research on what works in B2B marketing. Videos work. They don’t work. Referrals are the bomb. No, it’s content. Okay, maybe it’s both. Hmmm..pretty sure it’s not Facebook though.

The integration of marketing technology was another promising avenue. Companies are struggling with data. They’re drowning in data. They have no idea what to do with all the data that’s pouring in from smart watches and smart phones and smart bracelets and smart bangles and smart suppositories and – okay, maybe not suppositories, but that’s just because no one thought of it till I just mentioned it.

Then there’s the new Google tool that predicts the path to purchase. That sounds pretty cool. Marketers love things that predict things. That would make life easier. But life isn’t easy. So marketing isn’t easy. Marketing is all about trying to decipher the mangled mess of living just long enough to shoehorn in a message that maybe, just maybe that will catch the right person at the right time. And that mangled mess is just getting messier.

Personally, the thing that attracted me to marketing was its messiness. I love organic, gritty problems with no clear-cut solutions. Scientists call these ill-defined problems. And that’s why marketing is hard. It’s an ill-defined problem. It defies programmatic solutions. You can’t write an algorithm that will spit out perfect marketing. You can attack little slivers of marketing that lend themselves to clearer solutions, which is why you have the current explosion of ad-tech tools. But the challenge is trying to bring all these solutions together into some type of cohesive package that actually helps you relate to a living, breathing human.

One of the things that has always amazed me is how blissfully ignorant most marketers are about concepts that I think should be fundamental to understanding customer behaviors: things like bounded rationality, cognitive biases, decision theory and sense-making. Mention any of these things in a conference room full of marketers and watch eyes glaze over as fingers nervously thumb through the conference program, looking for any session that has “Top Ten” or “Surefire” in it’s title.

Take Information Foraging Theory, for instance. Anytime I speak about a topic that touches on how humans find information (which is almost always), I ask my audience of marketers if they’ve ever heard of I.F.T. Generally, not one hand goes up. Sometimes I think Jakob Nielsen and I are the only two people in the world that recognize I.F.T. for what it is: “the most important concept to emerge from Human-Computer Interaction research since 1993.” (Jakob’s words). If you take the time to understand this one concept I promise it will fundamentally and forever change how you look at web design, search marketing, creative and ad placement. Web marketers should be building a shrine to Peter Pirolli and Stuart Card. Their names should be on the tips of every marketer’s tongue. But I venture to guess that most of you reading this column never heard of them until today.

None of these fundamental concepts about human behavior are easy to grasp. Like all great ideas, they are simple to state but difficult to understand. They cover a lot of territory – much of it ill defined. I’ve spent most of my professional life trying to spread awareness of things like Information Foraging Theory. Can I always predict human behavior? Not by a long shot. But I hope that by taking the time to learn more about the classic theories of how we humans tick, I have also learned a little more about marketing. It’s not easy. It’s not perfect. It’s a lot like being human. But I’ve always believed that to be an effective marketer, you first need to understand humans.

Mourning Becomes Electric

dreamstime_19503560Last Friday was a sad day. A very dear and lifelong friend of mine, my Uncle Al, passed away. And so I did what I’ve done before on these occasions. I expressed my feelings by writing about it. The post went live on my blog around 10:30 in the morning. By mid afternoon, it had been shared and posted through Facebook, Twitter and many other online channels. Many were kind enough to send comments. The family, in the midst of their grief, forwarded my post to their family and friends. Soon, there was an extended network of mourning that sought to heal each other, all through channels that didn’t exist just a few years ago. Mourning had moved online.

As you probably know, I’m fascinated by how we express our innate human needs through digital technologies. And death, together with birth, is the most universal of human experiences. It was inevitable that we would use online channels to grieve. So I, as I always do, asked the question – why?

First of all – why do we mourn? Well, we mourn because we are social animals. We are probably the most social of animals. So we grieve to an according degree. We miss the departed terribly. It is natural to try to fill the hole a death tears inside of us by reaching out to others who may share the same grief. James R. Averill believed we communally mourn because it cements the social bonds that make it more likely that we will survive as a species. When it comes to dealing with death, misery loves company.

Secondly, why do we grieve online? Well, here, I think it has something to do with Granovetter’s weak ties. Death is one of those life events where we reach beyond the strong ties that define our day-to-day social existence. Certainly we seek comfort from those closest to us, but the death also triggers the existence of a virtual community – defined and united by their grieving for the one who has passed away. Our digital networks allow us to eliminate the six degrees of separation in one fell swoop. We can share our grief almost instantaneously and simultaneously with family, friends, acquaintances and even people we have never met.

There are two other aspects of grief that I believe lend themselves well to online channels: the need to chronicle and the comfort of emotional distance.

Part of the healing process is sharing memories of the departed love one. And, for those like myself, just writing about our feelings helps overcome the pain. Online provides a perfect platform for chronicling. We can share our own thoughts and, in the expressing of them, start the healing process.

The comfort of physical distance seems a contradictory idea, but almost everyone I know who has gone through a deep loss has one common dread – dealing with a never-ending stream of condolences over the coming weeks and months, triggered by each new physical encounter.

When you’ve been in the middle of the storm, you are typically a few days ahead of everyone else in dealing with your grief. Your mind has been occupied with nothing else as you have sat vigil by the hospital bed. While the condolences are given with the best of intentions, you feel compelled to give a response. The problem is, each new expression of grief forces you to replay your loop of very painful memories. The amplitude of this pain increases when it’s a face-to-face encounter. Condolences that reach you through a more detached channel, such as online, can be dealt with at your discretion. You can wait until you marshall the emotional reserves necessary to respond. You can also respond to several people at a time. How many times have you heard this from a grieving loved one, “I just wish I could record my message and play it whenever I meet someone who wants to tell me how sorry they are for my loss?” It may seem callous, but no one wants to relive that pain over and over again. And let’s face it – almost no one knows the right things to say at a moment like this.

By the end of last Friday, my online social connections had helped me ease a very deep pain. I hope I was able to return the favor for others that were dealing with their own grief. There are many things about technology that I treat with suspicion, but in this case, turning online seemed like the most natural thing in the world.

How Activation Works in an Absolute Value Market

As I covered last week, if I mention a brand to you – like Nike, for instance – your brain immediately pulls back your own interpretation of the brand. What has happened, in a split second, is that the activation of that one node – let’s call it the Nike node – triggers the activation of several related nodes in your brain, which is quickly assembled into a representation of the brand Nike. This is called Spreading Activation.

This activation is all internal. It’s where most of the efforts of advertising have been focused over the past several decades. Advertising’s job has been to build a positive network of associations so when that prime happens, you have a positive feeling towards the brand. Advertising has been focused on winning territory in this mental landscape.

Up to now, we have been restricted to this internal landscape when making consumer decisions by the boundaries of our own rationality. Access to reliable and objective information about possible purchases was limited. It required more effort on our part than we were willing to expend. So, for the vast majority of purchases, these internal representations were enough for us. They acted as a proxy for information that lay beyond our grasp.

But the world has changed. For almost any purchase category you can think of, there exists reliable, objective information that is easy to access and filter. We no longer are restricted to internal brand activations (relative values based on our own past experiences and beliefs). Now, with a few quick searches, we can access objective information, often based on the experiences of others. In their book of the same name, Itimar Simonson and Emanuel Rosen call these sources “Absolute Value.” For more and more purchases, we turn to external sources because we can. The effort invested is more than compensated for the value returned. In the process, the value of traditional branding is being eroded. This is truer for some product categories than others. The higher the risk or the level of interest, the more the prospect will engage in an external activation. But across all product categories, there has been a significant shift from the internal to the external.

What this means for advertising is that we have to shift our focus from internal spreading activations to external spreading activations. Now, when we retrieve an internal representation of a product or brand, it typically acts as a starting point, not the end point. That starting point is then to be modified or discarded completely depending on the external information we access. The first activated node is our own initial concept of the product, but the subsequent nodes are spread throughout the digitized information landscape.

In an internal spreading activation, the nodes activated and the connections between those nodes are all conducted at a subconscious level. It’s beyond our control. But an external spreading activation is a different beast. It’s a deliberate information search conducted by the prospect. That means that the nodes accessed and the connections between those nodes becomes of critical importance. Advertisers have to understand what those external activation maps look like. They have to be intimately aware of the information nodes accessed and the connections used to get to those nodes. They also have to be familiar with the prospect’s information consumption preferences. At first glance, this seems to be an impossibly complex landscape to navigate. But in practice, we all tend to follow remarkable similar paths when establishing our external activation networks. Search is often the first connector we use. The nodes accessed and the information within those nodes follow predictable patterns for most product categories.

For the advertiser, it comes down to a question of where to most profitably invest your efforts. Traditional advertising was built on the foundation of controlling the internal activation. This was the psychology behind classic treatises such as Ries and Trout’s “Positioning, The Battle for Your Mind.” And, in most cases, that battle was won by whomever could assemble the best collection of smoke and mirrors. Advertising messaging had very little to do with facts and everything to do with persuasion.

But as Simonsen and Rosen point out, the relative position of a brand in a prospect’s mind is becoming less and less relevant to the eventual purchase decision. Many purchases are now determined by what happens in the external activation. Factual, reliable information and easy access to that information becomes critical. Smoke and mirrors are relegated to advertising “noise” in this scenario. The marketer with a deep understanding of how the prospect searches for and determines what the “truth” is about a potential product will be the one who wins. And traditional marketing is becoming less and less important to that prospect.

 

The Spreading Activation Model of Marketing

“Beatle.”

I have just primed you. Before you even finished reading the word above, you had things popping into your mind. Perhaps it was a mental image of an individual Beatle – either John, Paul, George or Ringo. Perhaps it was a snippet of song. Perhaps it was grainy black and white footage of the Ed Sullivan show appearance. But as the concept “Beatle” entered your working memory, your brain was hard at work retrieving what you believed were relevant concepts from your long-term memory. (By the way, if your reaction was “What’s a Beatle?” – substitute “Imagine Dragons.”)

1-brain-neural-network-pasiekaThat’s a working example of spreading activation. The activation of your working memory pulls associated concepts from your long-term memory to create a mental construct that creates your internal definition of whatever that first label was.

Now, an important second step may or may not happen. First, you have to decide how long you’re going to let the “Beatle” prime occupy your working memory. If it’s of fleeting interest, you’ve probably already wiped the slate clear, ready for the next thing that catches your interest. But if that prime is strong enough to establish a firm grip on your attention, then you have a choice to make. Is your internal representation complete, or do you require more information? If you require more information then you have to turn to external sources for that information.

Believe it or not, this column is not intended as a 101 primer in Cognitive Psych. But the mental gymnastics I describe are important when we think about marketing, as we go through exactly the same process when we think about potential purchases. If we can understand that process better, we gain some valuable hints about how to more effectively market in an exceedingly fluid technological environment.

Much of advertising is built on the first half of the process – building associative brand concepts and triggering the prime that retrieves those concepts into working memory. Most of what isn’t working about advertising lies on this side of the cognitive map. We’ve been overly focused on the internal activation, at the expense of the external. But thanks to an explosion of available (and objective) information we’re less reliant on using our internal knowledge when making purchase decisions. Itamar Simonson and Emanuel Rosen explain in their book “Absolute Value”: “A person’s decision to buy is affected by a mix of three related sources: The individual’s Prior preferences, beliefs, and experiences (P) Others. Other people and information services (O) and Marketers (M).”

Simonson and Rosen say that with near perfect information available for the consumer, we now rely more on (O) and less on (P) and (M). Let’s leave (M) and (O) aside for the moment and focus on the (P) in this equation. (P) represents our internal spreading activation. After we’re primed, we retrieve a representation of the product or service we’re thinking of. At this point, we make an internal calculation. We balance how confident we are that our internal representation is adequate to make a purchase against how much effort we have to expend to gather further information. This calculation is largely made subconsciously. It follows Herbert Simon’s principle of Bounded Rationality. It also depends on how much risk is involved in the purchase we’re contemplating. If all the factors dictate that we’re reasonably confident in our internal representation and the risk we’re assuming, we’ll pull out our wallets and buy. If, however, we aren’t confident, we’ll start seeking more information. And that’s where (O) and (M) come in.

Simonson and Rosen lay out a purchase behaviour continuum, from (O) Dependent to (O) Independent. It’s at the (O) Dependent end, where internal confidence in retrieved beliefs and experience is low, that buying behaviors are changing dramatically. And it’s there where conventional approaches to advertising are falling far short of the mark. They are still stuck in the mythical times of Mad Men, where marketers relied on a “Prime, Retrieve (Internal beliefs), Purchase” path. Today, it’s much more likely that the Prime and Retrieve stages will be followed by an external spreading activation. We’ll pick up that thread in next week’s Online Spin.

 

Consuming in Context

npharris-oscarsIt was interesting watching my family watch the Oscars Sunday night. Given that I’m the father of two millennials, who have paired with their own respective millennials, you can bet that it was a multi-screen affair. But to be fair, they weren’t the only ones splitting their attention amongst the TV and various mobile devices. I was also screen hopping.

As Dave Morgan pointed out last week, media usage no longer equates to media opportunity. And it’s because the nature of our engagement has changed significantly in the last decade. Unfortunately, our ad models have been unable to keep up. What is interesting is the way our consumption has evolved. Not surprisingly, technology is allowing our entertainment consumption to evolve back to its roots. We are watching our various content streams in much the same way that we interact with our world. We are consuming in context.

The old way of watching TV was very linear in nature. It was also divorced from context. We suspended engagement with our worlds so that we could focus on the flickering screen in front of us. This, of course, allowed advertisers to buy our attention in little 30-second blocks. It was the classic bait and switch technique. Get our attention with something we care about, and then slip in something the advertiser cares about.

The reason we were willing to suspend engagement with the world was that there was nothing in that world that was relevant to our current task at hand. If we were watching Three’s Company, or the Moon Landing, or a streaker running behind David Niven at the 1974 Oscar ceremony, there was nothing in our everyday world that related to any of those TV events. Nothing competed for the spotlight of our attention. We had no choice but to keep watching the TV to see what happened next.

But imagine if a nude man suddenly appeared behind Matthew McConaughey at the 2015 Oscars. We would immediately want to know more about the context of what just happened. Who was it? Why did it happen? What’s the backstory? The difference is now, we have channels at our disposal to try to find answers to those questions. Our world now includes an extended digital nervous system that allows us to gain context for the things that happen on our TV screens. And because TV no longer has exclusive control of our attention, we switch to the channel that is the best bet to find the answers we seek.

That’s how humans operate. Our lives are a constant quest to fill gaps in our knowledge and by doing so, make sense of the world around us. When we become aware of one of these gaps we immediate scan our environment to find cues of where we might find answers. Then, our senses are focused on the most promising cues. We forage for information to satiate our curiosity. A single-minded focus on one particular cue, especially one over which we have no control, is not something we evolved to do. The way we watched TV in the 60s and 70s was not natural. It was something we did because we had no option.

Our current mode of splitting attention across several screens is much closer to how humans naturally operate. We continually scan our environment, which, in this case, included various electronic interfaces to the extended virtual world, for things of interest to us. When we find one, our natural need to make sense sends us on a quest for context. As we consume, we look for this context. The diligence of our quest for that context will depend on the degree of our engagement with the task at hand. If it is slight, we’ll soon move on to the next thing. If it’s deep, we’ll dig further.

On Sunday night, the Hotchkiss family quest for context continually skipped around, looking for what other movies J.K. Simmons had acted in, watching the trailer for Whiplash, reliving the infamous Adele Dazeem moment from last year and seeing just how old Benedict Cumberbatch is (I have two daughters that are hopelessly in love, much to the chagrin of their boyfriends). As much as the advertisers on the 88th Oscars might wish otherwise, all of this was perfectly natural. Technology has finally evolved to give our brain choices in our consumption.

 

 

 

 

 

 

The Trouble with Trying to Stand on The Shoulders of Giants

Standing-on-GiantsIt has long been thought that academia provided a refuge from the sordid world of business. But when a Nobel prize-winning academic says that if he had to do it all over again, he wouldn’t publish, you know something is rotten in the state of Denmark. Laureate Peter Higgs (of Higgs-Boson fame) told the Guardian:

“Today I wouldn’t get an academic job. It’s as simple as that. I don’t think I would be regarded as productive enough.”

The whole point of publishing is to share knowledge. But academic publishers don’t seem to have received that memo. For the past two decades, publishers like Reed Elsevier, John Wiley and Springer, who got in on a good gig early, have propped up ridiculous profit margins by slowly squeezing non-profit publishers out of the picture. In the process, they’ve turned academic publishing into a hamster wheel that stresses quantity over quality. Most academic research is rushed out to a limited audience that has been designated as the ones who “count” and the rest of us have to pony up ridiculous sums to access an article that lies on the far side of a barricaded pay wall. Academic publishing is one of the few bastions that has managed to resist the digital tide of declining transaction costs.

I love academic research. I am a big believer in scientific inquiry. I am an avid reader of blogs like Science Daily and Big Think. But 9 times out of 10 (or 99 times out of a hundred), when you actually read an academic paper (if you can get your hands on one), it’s hopelessly mired in academic jargon and the actual findings fall disappointingly short of remarkable. What should be a reflection of the best of who we are has turned into a sordid little business run by shortsighted people who are only in it for a quick buck. If one of the pre-eminent physicists of our generation would rather become a used car salesman or worse yet, a marketer, than follow his passion, we know something is seriously wrong.

Google tried to remain true to the spirit of academic publishing when they introduced Google Scholar. I use Scholar a lot, and have found it very useful for accessing landmark papers from a few decades back that have managed to seep into the public domain. But if you use it to try to access more recent papers, you typically run headlong into one of the afore-mentioned pay walls. I tried to see how academics feel about Google Scholar and was amazed to find this quote from the McKinney Engineering Library blog at the University of Texas:

“Google Scholar has an ambiguous status in the library and research world. Obviously, it is powered by the Google, which is kind of a dirty word in academic research. Also, the fact that it is free throws further suspicion on its quality, particularly when libraries pay lots of money for database access.”

WTF? Forget for a moment that Google is referred to as “the Google” – which I hope is a joke aimed at fellow Texan George W. Bush. Since when should knowledge be judged by the size of its price tag? Stewart Brand identified the disconnect 30 years ago when he said,

“On the one hand information wants to be expensive, because it’s so valuable. The right information in the right place just changes your life. On the other hand, information wants to be free, because the cost of getting it out is getting lower and lower all the time. So you have these two fighting against each other.”

The rest of the world seems to have moved in the right direction. What the hell is the problem with academia?

If you’re not mad about this, you should be. The vast majority of academic research is funded directly by your tax dollars. Academic publishers don’t pay anyone for content. They have done nothing but agree to publish, which, in today’s world, costs virtually nothing. But somehow they still feel entitled to charge $50 to access an electronic version of an article. Reasonable profits are the right of an honest businessperson, but academic publishing doesn’t even come close to passing the “smell-test.”

One of the big Academic publishers, MacMillan, is at least considering loosening the drawstrings a touch. They’re lowering the drawbridge of their pay wall just a smidge by offering the ability to read and annotate articles on line. But academic publishing still has a long way to go before it approaches the accessibility that marks almost every other form of publishing in the digital world. So far for most researchers, the draw of being published in a prestigious journal has outweighed the idealism of openly publishing their work for all to see on a digital platform.

I suspect this is an area just waiting for disruption. I hope that the academics that are creating the content agree. It seems that academic publishing has been hiding in a previously overlooked nook that has escaped the relentless liberation of information driven by technology. But if MacMillan is feeling threatened enough to lower their defenses, however slightly, I suspect that the tide is beginning to turn. I, for one, thinks that day can’t come soon enough.

Why More Connectivity is Not Just More – Why More is Different

data-brain_SMEric Schmidt is predicting from Davos that the Internet will disappear. I agree. I’ve always said that Search will go under the hood, changing from a destination to a utility. Not that Mr. Schmidt or the Davos crew needs my validation. My invitation seems to have got lost in the mail.

Laurie Sullivan’s recent post goes into some of the specifics of how search will become an implicit rather than an explicit utility. Underlying this is a pretty big implication that we should be aware of – the very nature of connectivity will change. Right now, the Internet is a tool, or resource. We access it through conscious effort. It’s a “task at hand.” Our attention is focused on the Internet when we engage with it. The world described by Eric Schmidt and the rest of the panel is much, much different.   In this world, the “Internet of Things” creates a connected environment that we exist in. And this has some pretty important considerations for us.

First of all, when something becomes an environment, it surrounds us. It becomes our world as we interpret it through our assorted sensory inputs. These inputs have evolved to interpret a physical world – an environment of things. We will need help interpreting a digital world – an environment of data. Our reality, or what we perceive our reality to be, will change significantly as we introduce technologically mediated inputs into it.

Our brains were built to parse information from a physical world. We have cognitive mechanisms that evolved to do things like keep us away from physical harm. Our brains were never intended to crunch endless reams of digital data. So, we will have to rely on technology to do that for us. Right now we have an uneasy alliance between our instincts and the capabilities of machines. We are highly suspicious of technology. There is every rational reason in the world to believe that a self-driving Google car will be far safer than a two ton chunk of accelerating metal under the control of a fundamentally flawed human, but who of us are willing to give up the wheel? The fact is, however, that if we want to function in the world Schmidt hints at, we’re going to have to learn not only to trust machines, but also to rely totally on them.

The other implication is one of bandwidth. Our brains have bottlenecks. Right now, our brain together with our senses subconsciously monitor our environment and, if the situation warrants, they wake up our conscious mind for some focused and deliberate processing. The busier our environment gets, the bigger this challenge becomes. A digitally connected environment will soon exceed our brain’s ability to comprehend and process information. We will have to determine some pretty stringent filtering thresholds. And we will rely on technology to do the filtering. As I said, our physical senses were not built to filter a digital world.

It will be an odd relationship with technology that will have to develop. Even if we lower our guard on letting machines do much of our “thinking” (in terms of processing environmental inputs for us) we still have to learn how to give machines guidelines so they know what our intentions are. This raises the question, “How smart do we want machines to become?” Do we want machines that can learn about us over time, without explicit guidance from us? Are we ready for technology that guesses what we want?

One of the comments on Laurie’s post was from Jay Fredrickson, “Sign me up for this world, please. When will this happen and be fully rolled out? Ten years? 20 years?” Perhaps we should be careful what we wish for.  While this world may seem to be a step forward, we will actually be stepping over a threshold into a significantly different reality. As we step over that threshold, we will change what it means to be human. And there will be no stepping back.

Why Our Brains Love TV

brain-TV-e1318029026863Forrester Research analyst Shar VanBoskirk has pegged 2019 as the year when digital ad spend will surpass TV, topping the $100 billion mark. This is momentous in a number of ways, but not really surprising. If you throw all digital marketing in a single bucket, it was a question of when, not if, it would finally surpass TV. What is more surprising to me is how resilient TV has proven to be as an advertising medium. After all, we’re only a little more than a decade away from the 100th anniversary of broadcast TV (which started in 1928). TV has been the king of the media mountain for a long time.

So, what is it about TV that has so captured us for so long? What is it about the medium that allows our brains to connect to it so easily?

The Two Most Social Senses – Sight and Sound

Even as digital overtakes broadcast and cable television, we’re still mesmerized by the format of TV. Our interaction with the medium has shifted in a few interesting ways, notably time shifting, new platforms to consume it on and binge watching, but our actual interaction with the format itself hasn’t changed very much, save for the continual improvements in fidelity. It’s still sight and sound delivered electronically. And for us, that seems to be a very compelling combination. Despite some thus-far failed attempts to introduce another sense or dimension into the sight/sound duopoly, our brains seem to naturally default back to a relatively stable format of sound and two-dimensional images.

It’s no coincidence that these are the same two senses we rely on most heavily to connect with the outside world. They allow us to scan our environments “at-a-distance,” picking up cues of potential threats or rewards that we can then use our other senses to interact with more intimately. Smell, taste and touch are usually “close-up” senses that are relied on only when sight and sound have given the “all-clear” signal to our brains. For this reason, our brains have some highly developed mechanisms that allow us to parse the world through sight and sound – particularly sight. For example, the fusiform gyrus is a part of our brain that is dedicated to categorizing forms we see and fitting them into categories our brain recognizes. It’s this part of our brain that allows us to recognize faces and fit them into understandable categories such as friends, enemies, family, celebrities, etc.

These are also the two senses we use most often in social settings. If it weren’t for sight and sound, our ability to interact with each other would be severely curtailed. This offers another clue. Television is a good fit with our need to socialize. Sight and sound are the channel inputs to empathy. Our mirror neurons are activated when we see somebody else doing something. That’s why the saying is “Monkey See, Monkey Do,” and not “Monkey Taste, Monkey Do.” These two senses are all we really need to build a fairly rich representation of the world and create emotional connections to it.

We want Immersion, But Not Too Much immersion

So, if the combination of sight and sound seems to be a good match with our mechanisms for understanding the world – why has “more” not proven to be “better?” Why, for instance, has 3D and Interactive TV not caught on to the extent forecast?

I think we’ve developed a comfortable balance with TV. Remember, sight and sound are generally used as “at-a-distance” parsers of our world. Because of the sheer volume of visual and auditory information coming through these channels, the brain has learned to filter input and only alert us when further engagement is required. If our brain had to process all the visual information available to it, it would overload to the point of breakdown. So while we want to be engaged in whatever we’re watching on TV, we aren’t looking to be totally immersed in it. This is why we have the multi-screen/multi-tasking behaviors emerging that are quickly becoming the norm while we watch TV. 3D or Interactive TV both add a dimension of focal attention that isn’t necessary to enjoy a TV show.

The Concept of “Durable” Media

It’s interesting that as technology advances, every so often a media format emerges that is what I would call “durable.” It’s information or entertainment presented in a format that is a good cognitive match for our preferences and abilities. Even if technology is capable of adding “more” to these media, over time it turns out that “more” isn’t perceived as “better.”

Books are perhaps the most durable of media. The basic format of a book has been digitized, but our interaction with a book doesn’t look much different than it did in Guttenberg’s day. It’s still printed words on a page. Television also appears to be a durable medium. The format itself is fairly stable. It’s the revenue models that are built around it that will evolve as time goes on.