Author Archives: ghotchkiss

How Our Brain Decides How Long We Look at Something

In this week, I’ve talked about how our attention focusing mechanism moves the spotlight of foveal attention around different environments: a Where’s Waldo picture, a webpage, a website with advertising and a search engine results page. I want to wrap up the week by looking at another study that looked at the role of brain waves in regulating how we shift the spotlight of attention from one subject to another.

Eye Spy

eyetrackingsaccadesIf you do eye tracking research, you soon learn to distinguish fixations and saccades. Fixations occur when we let our foveal attention linger on an element, even for a fraction of a second. Saccades are the movements our eyes make from one fixation to the next. These movements take mere milliseconds. Below I show an example of a single session “gaze plot” – the recording of how one individual’s eyes took in an ad (the image is from Tobii, the maker of the eye tracking equipment we use). The dots represent fixations, as measured in milliseconds. The bigger the dot the longer the eye stayed here. The lines connecting the dots are saccades.

When you look at a scene like the one shown here, the question becomes, how do you consciously move from one element to another. It’s not like you think “okay, I’ve spent enough time looking at the logo, perhaps it’s time to move to the headline of the ad, or the rather attractive bosom in the upper right corner (I suspect the participant was male)” The movements happen subconsciously. Your eyes move to digest the content of the picture on their own accord, based on what appears to be interesting based on your overall scan of the picture and your attention focusing mechanisms.

Keeping Our Eyes Running on Time

Knowing that the eye tends to move from spot to spot subconsciously, Dr. Earl Miller at MIT decided to look closer at the timing of these shifts of attention and what might cause them. He found that our brains appear to have a built in timer that moves our eyes around a scene. Our foveal focus shifts about 25 times a second and this shift seems to be regulated by our brain waves. Our brain cycles between high activity phases and low activity phases, the activity recorded through EEG scanning. Neurologists have known that these waves seem to be involved in the focusing of attention and the functions of working memory, but Miller’s study showed a conclusive link between these wave cycles and the refocusing of visual attention. It appears our brains have a built in metronome that dictates how we engage with visual stimuli. The faster the cycles, the faster we “think.”

But, it’s not as if we let our eyes dash around the page every 1/25 of a second. Our eyes linger in certain spots and jump quickly over others. Somewhere, something is dictating how long the eye stays in one spot. As our brain waves tick out the measures of attention, something in our brains decide where to invest those measures and how many should be invested.

The Information Scent Clock is Ticking

Here, I take a huge philosophical leap and tie together two empirical bodies of knowledge with nothing scientifically concrete to connect them that I’m aware of. Let’s imagine for a second that Miller’s timing of eye movements might play some role in Eric Charnov’s Marginal Value Theorem, which in turn plays a part in Peter Pirolli’s Information Foraging Theory.

Eric Charnov discovered that animals seem to have an innate and highly accurate sense of when to leave one source of food and move on to another, based on a calculation of the energy that would have to be expended versus the calories that would be gained in return. Obviously, organisms that are highly efficient at surviving would flourish in nature, passing on their genes and less efficient candidates would die out. Charnov’s marginal value calculation would be a relatively complex one if we sat down to work it out on paper (Charnov did exactly that, with some impressive charts and formulas) but I’m guessing the birds Charnov was studying didn’t take this approach. The calculations required are done by instinct, not differential calculus.

So, if birds can do it, how do humans fare? Well, we do pretty well when it comes to food. In fact, we’re so good at seeking high calorie foods, it’s coming back to bite us. We have highly evolved tastes for high fat, high sugar calorie rich foods. In the 20th Century, this built in market preference caused food manufacturers to pump out these foods by the truck load. Now, well over 1/3 of the population is considered obese. Evolution sometimes plays nasty tricks on us, but I digress.

Pirolli took Charnov’s marginal value theorem and applied it to how we gather information in an online environment. Do we use the same instinctive calculations to determine how long to spend on a website looking for the information we’re seeking? Is our brain doing subconscious calculations the entire time we’re browsing online, telling us to either click deeper on a site or give up and go back to Google? I suspect the answer is yes. And, if that’s the case, are our brain waves that dictate how and where we spend our attention part of this calculation, a mental hourglass that somehow factors into Charnov’s theorem? If so, it behooves us to ensure our websites instill a sense of information scent as soon as possible. The second someone lands on our site, the clock is already ticking. Each tick that goes by without them finding something relevant devalues our patch according to Charnov’s theorem.

The World’s Intentions at Our Fingertips

First published January 7, 2010 in Mediapost’s Search Insider

We’ve made Google a verb. What does that mean? Well, for one thing, it means we have a better indication of prospect intent than ever before. Google (or any search engine) becomes the connector between our intent and relevant online destinations. John Battelle called Google the database of intentions and predicted that it would become hugely important. Battelle’s call was right on the money, but we still haven’t felt the full import of it. Our tapping into our zeitgeist (defined as the general intellectual, moral and cultural climate of an era) is usually restricted to a facetious review of the top 10 search terms of the year.

Keep Your Eye on Intent

A couple of columns ago I indicated that consumer intent was one of the most important things to watch in the shift of advertising. Intention changes the rules of engagement with advertising. It switches our perception of ads from that of an interruption we’re trying to avoid to that of valuable information we’re looking for. With intention in place, the success of an ad depends not on its ability to hijack our attention, but rather on its ability to deliver on our intention. Ads no longer have to intrude on our consciousness; all they have to do is inform us.

To this point, some 15 years into the practice of search marketing, the majority of our efforts have been restricted to effectively meeting the intentions of our prospects. And, to be honest, we still have a long way to go to get that right. Landing page experiences still fall far short of visitor expectations. Search ad copy is still irrelevant in a large percentage of cases. Even when the keywords used give a clear signal of intent (unfortunately, a fairly rare circumstance) most marketers come up short on delivering an experience that’s relevant and helpful. Poor search marketing is the reason quality scores exist.

The Keynote Avinash Never Gave

But there’s an immense store of untapped potential lying in this “database of intentions.” When Avinash Kaushik did the keynote at last month’s Search Insider Summit, he intended to touch on three topics. Unfortunately, the third topic had to be dropped because of time limitations. He talked about attribution models and the Long Tail. The third topic was to be the use of search as a source of intelligence. Kaushik was going to explore how to leverage the “database of intentions” to better inform all our marketing efforts.

When it comes to tapping into this extraordinarily rich source of intelligence, even search marketers are slow to realize the potential. And we’re the ones that supposedly “get” the importance of search. For more traditional marketers, most are completely unaware that such a thing even exists. I believe two things are holding us back from effectively mining the “database of intentions” – the isolation of search marketing within an organization, and a lack of tools to effectively mine the intelligence.

SEM is an Island

Search marketing lives as an isolated island within most organizations. It lives apart from the main marketing department — as well as the day-to-day pulse of the corporation. The bigger the company, the more true this is. That means that the one department that has a hope in hell of understanding the importance of all these collected searches has little or no voice in the overall marketing strategy. All those signals of customer intent — indeed, the best barometer of consumer sentiment ever built — lies locked away behind the imaginary door of the search marketing cubicle.  The traditional marketing folks have no idea that this crystal ball, offering a real-time view of the goals, thoughts and aspirations of their target market, even exists, let alone how to use it.

Wanted: Better Mining Tools

Even the relatively minimal efforts Google has made to provide tools to dig into this data have proven to be amazingly valuable for marketers. Google Trends and its bigger brother, Google Insights, provide a glimpse into the power of Google’s query database. Unfortunately, these tools provide a rather anemic interface, considering the wealth of information that could be gleaned. Privacy is one stumbling block, but surely we could have more powerful tools to examine and slice the data, even in anonymized, aggregated form. I would love to hitch the sophistication of a comScore-type application to Google’s back-end data.

Battelle said this about the Database of Intentions:Such a beast has never before existed in the history of culture, but is almost guaranteed to grow exponentially from this day forward. This artifact can tell us extraordinary things about who we are and what we want as a culture.

Isn’t about time that we marketers clued into it?

How Our Brains “Google”

So far this week, I’ve covered how our brains find Waldo, scan a webpage and engage with online advertising. Today, I’m looking at how our brains help find the best result on a search engine.

Searching by Habit

First, let’s accept the fact that most of us have now had a fair amount of experience searching for things on the internet, to the point that we’ve now made Google a verb. What’s more important, from a neural perspective, is that searching is now driven by habit. And that has some significant implications for how our brain works.

Habits form when we do the same thing over and over again. In order for that to happen, we need what’s called a stable environment. Whatever we’re doing, habits only form when the path each time is similar enough that we don’t have to think about each individual junction and intersection. If you drive the same way home from work each day, your brain will start navigating by habit. If you take a different route every single day, you’ll be required to think through each and every trip. Parts of the brain called the basal ganglia seem to be essential in recording these habitual scripts, acting as sort of a control mechanism telling the brain when it’s okay to run on autopilot and when it needs to wake up and pay attention. Ann Graybiel from MIT has done extensive work exploring habitual behaviors and the role of the basal ganglia.

The Stability of the Search Page

A search results page, at least for now, provides such a stable environment. Earlier this week, I looked at how our brain navigates webpages. Even though each website is unique, there are some elements that are stable enough to allow for habitual conditioned routines to form. The main logo or brand identifier is usually in the upper left. The navigation bar typically runs horizontally below the logo. A secondary navigation bar is typically found running down the left side. The right side is usually reserved for a feature sidebar or, in the case of a portal, advertising. Given these commonalities, there is enough stability in most website’s designs that we navigate for the first few seconds on autopilot.

Compared to a website, a search engine results page is rigidly structured, providing the ideal stable environment for habits to form. This has meant a surprising degree of uniformity in people’s search behaviors. My company, Enquiro, has been looking at search behavior for almost a decade now and we’ve found that it’s remained remarkably consistent. We start in the upper left, break off a “chunk” of 3 to 5 results and scan it in an “F” shaped pattern. The following excerpts from The BuyerSphere Project give a more detailed walk through of the process.

searchheatmap11 – First, we orient ourselves to the page. This is something we do by habit, based on where we expect to see the most relevant result. We use a visual anchor point, typically the blue border that runs above the search results, and use this to start our scanning in the upper left, a conditioned response we’ve called the Google Effect. Google has taught us that the highest relevance is in the upper left corner

Searchheatmap22 – Then, we begin searching for information scent. This is a term from information foraging theory, which we’ve covered in our eye tracking white papers. In this particular case, we’ve asked our participants to look for thin, light laptops for their sales team. Notice how the eye tracking hot spots are over the words that offer the greatest “scent”, based on the intention of the user. Typically, this search for scent is a scanning of the first few words of the title of the top 3 or 4 listings.

Searchheatmap33 – Now the evaluation begins. Based on the initial scan of the beginnings of titles from the top 3 or 4 listings, users begin to compare the degree of relevance of some alternatives, typically by comparing two at a time. We tend to “chunk” the results page into sections of 3 or 4 listings at a time to compare, as this has been shown to be a typical limit of working memory9 when considering search listing alternatives

searchheatmap44 -It’s this scanning pattern, roughly in the shape of an “F”, that creates the distinct scan pattern that we first called the “Golden Triangle” in our first eye tracking study. Users generally scan vertically first, creating the upright of the “F”, then horizontally when they pick up a relevant visual cue, creating the arms of the F. Scanning tends to be top heavy, with more horizontal scanning on top entries, which over time creates the triangle shape.

 

searchheatmap5(2)5 – Often, especially if the results are relevant, this initial scan of the first 3 or 4 listings will result in a click. If two listings or more listings in the initial set look to be relevant, the user will click through to both and compare the information scent on the landing page. This back and forth clicking is referred to as “pogo sticking”. It’s this initial set of results that represents the prime real estate on the page.

searchheatmap66 – If the initial set doesn’t result in a successful click through, the user continues to “chunk” the page for future consideration. The next chunk could be the next set of organic results, or the ads on the right hand side of the page. There, the same F Shaped Scan patterns will be repeated. By the way, there’s one thing to note about the right hand ads. Users tend to glance at the first ad and make a quick evaluation of the relevance. If the first ad doesn’t appear relevant, the user will often not scan any further, passing judgement on the usefulness and relevance of all the ads on the right side based on their impression of the ad on top.

So, that explains how habits dictate our scanning pattern. What I want to talk more about today is how our attention focusing mechanism might impact our search for information scent on the page.

The Role of the Query in Information Scent

Remember the role of our neuronal chorus, firing in unison, in drawing our attention to potential targets in our total field of vision. Now, text based web pages don’t exactly offer a varied buffet of stimuli, but I suspect the role of key words in the text of listings might serve to help focus our attention.

In a previous post, I mentioned that words are basically abstract visual representations of ideas or concepts. The shape of the letters in a familiar word can draw our attention. It tends to “pop out” at us from the rest of the words on the page. I suspect this “pop out” effect could be the result of Dr. Desimone’s neural synchrony patterns. We may have groups of neurons tuned to pick certain words out of the sea of text we see on a search page.

The Query as a Picture

This treating of a word as a picture rather than text has interesting implications for the work our brain has to do. The interpretation of text actually calls a significant number of neural mechanisms into play. It’s fairly intensive processing. We have to visually intrepret the letters, run it through the language centres of our brain, translate into a concept and only then can we capture the meaning of the word. It happens quickly, but not nearly as quickly as the brain can absorb a picture. Pictures don’t have to be interpreted. Our understanding of a picture requires fewer mental “middle men” in our brain, so it takes a shorter path. Perhaps that’s why one picture is worth a thousand words.

But in the case of logos and very well known words, we may be able to skip some of the language processing we would normally have to do. The shape of the word might be so familiar, we treat it more like an icon or picture than a word. For example, if you see your name in print, it tends to immediately jump out at you. I suspect the shape of the word might be so familiar that our brain processes it through a quicker path than a typical word. We process it as a picture rather than language.

Now, if this is the case, the most obvious candidate for this “express processing” behavior would be the actual query we use. And we have a “picture” of what the word looks like already in our minds, because we just typed it into the query box. This would mean that this word would pop out of the rest of the text quicker than other text. And, through eye tracking, there are very strong indications that this is exactly what’s happening. The query used almost inevitably attracts foveal attention quicker than anything else. The search engines have learned to reinforce this “pop out” effect by using hit bolding to put the query words in bold type when ever they appear in the results set.

Do Other Words Act as Scent Pictures?

If this is true of the query, are there other words that trigger the same pop out effect? I suspect this to also be true. We’ve seen that certain word attract more than their fair share of attention, depending on the intent of the user. Well know brands typically attract foveal attention. So do prices and salient product features. Remember, we don’t read search listings, we scan them. We focus on a few key words and if there is a strong enough match of information scent to our intent, we click on the listing.

The Intrusion of Graphics

Until recently, the average search page was devoid of graphics. But all the engines are now introducing richer visuals into many results sets. A few years ago we did some eye tracking to see what the impact might be. The impact, as we found out, was that the introduction of a graphic significantly changed the conditioned scan patterns I described earlier in the post.

eshapedpatternThis seems to be a perfect illustration of Desimone’s attention focusing mechanism at work. If we’re searching for Harry Potter, or in the case of the example heat map shown below, an iPhone, we likely have a visual image already in mind. If a relevant image appears on the page, it hits our attention alarms with full force. First of all, it stands out from the text that surrounds it. Secondly, our pre-tuned neurons immediately pick it out in our peripheral vision as something worthy of foveal focus because it matches the picture we have in our mind. And thirdly, our brain interprets the relevancy of the image much faster than it can the surrounding text. It’s an easier path for the attention mechanisms of our brain to go down and our brains follow the same rules as my sister-in-law: no unnecessary trips.

The result? The F Shaped Scan pattern, which is the most efficient scan pattern for an ordered set of text results, suddenly becomes an E shaped pattern. The center of the E is on the image, which immediately draws our attention. We scan the title beside it to confirm relevancy, and then we have a choice to make. Do we scan the section above or below. Again, our peripheral vision helps make this decision by scanning for information scent above and below the image. Words that “pop out” could lure us up or down. Typically, we expect greater relevancy higher in the page, so we would move up more often than down.

Tomorrow, I’ll wrap up my series of posts on how our brains control what grabs our attention by looking at another study that indicates we might have a built in timer that governs our attention span and we’ll revisit the concept of the information patch, looking at how long we decide to spend “in the patch.”

How Our Brains Engage with Online Ads

On Monday, I talked about how our brain found Waldo – how we pick a recognized figure out of a busy background.

Yesterday, I took the same principles and applied them to how our brain scans a webpage.

Today, I want to dive into how the mechanics of our brain’s ability to focus attention impacts our engagement with online ads.

The Role of Engagement

One factor above all others dictates the level of engagement we have with online advertising: are we looking for it? Intent is the spoiler in ad effectiveness. When we have intent that aligns with advertising that’s presented to us, the rules of engagement significantly shift in favor of the ad. I dealt with this at some length in a previous post, so I won’t rehash the topic here. However, in all that follows, it’s important to keep that in mind.

As I laid out yesterday, our intent will determine our information foraging strategy on a web page. We will have an idea of what we’re looking for, perhaps even to the extent of creating a mental picture in our visual cortex, and the attention focusing apparatus in our brain working together with our ability to quickly scan a page in it’s entirety through peripheral vision will help us “thin slice” (to use a term from Gladwell’s Blink) the contents of a page, mentally dividing it up into areas of greater and lesser promise. Clusters of information scent are important here to help guide our attention in the most promising directions, as determined by our intent.

Now, obviously the more detail there is on a page, and the more diverse it is, the harder this attention focusing mechanism has to work. Busy pages make us work harder than clean pages. That’s why we tend to get frustrated with them. I’m not sure this tendency is universal, however. Past eye tracking work seems to suggest that at least some of our visual preferences might be cultural. In China, for example, very busy websites seems to be the norm.

So, we have our peripheral vision scanning a page for relevancy, ready to swing the spotlight of foveal attention in the right directions. What happens now?

Conditioning in a Scan Pattern

When we start scanning a website, our foraging strategy isn’t a blank slate. Because there tends to be some commonalities in how websites are built, we have built up some universal strategies we use to find the most promising content on the page. The examples below from The BuyerSphere Project show how these strategies guide us through the first few seconds of interaction with a web page:

webinteraction

These conditioned patterns allow us to mentally divide up a page for easier digestion. This has significant implications for advertising placed on the page. Ads tend to occupy real estate that is outside this conditioned navigation path. They are usually placed at the top (the much maligned banner ad) or on the right side of the page. Because placement is fairly constant, we have become conditioned to expect advertising in these spots. This makes it a sort of “no man’s land” on most websites. Ads are seldom aligned with intent. They tend to interrupt our intent. So we try to filter them out. Ads start with one strike against them. We might scan them peripherally just to see if there are any relevancy “hits” with our activated “target” neurones, but if there’s no hit, we spend little time with them. The eye tracking heat map below shows the difference in ad engagement when an ad is placed in the top banner position versus a position in the middle of content.

adplacement

Ad Relevancy

But, what if an ad is relevant? Thanks to Google and other content targeting ad networks, relevancy has been introduced into our ad targeting strategies. This has a significant impact. Enquiro worked with Google to try to quantify the impact of relevancy in a study we conducted in 2008. We gave respondents scenarios that simulated purchase intent and then showed them various websites. Some were relevant to the purchase, some weren’t. Also, some had ads that were contextually targeted and others had general ads which weren’t contextually relevant. The results, shown in the graphs below (again, from The BuyerSphere Project) were somewhat startling and counter intuitive.

Contextualads

While non-relevant ads scored higher on ad awareness (recognizing that there was an ad on the page) they scored much lower on almost every other metric. 3 times more respondents remembered the ad messages in a relevant ad and  5 times more respondents indicated that the advertised ad would make their short list of candidates. In “intent to purchase” the non-relevant ads actually performed worse than the control group (who saw no ad) and significantly worse than the relevant ad group.

How Hard Do Ads Have to Work?

In my post on the alignment of intent, I said that ads that don’t benefit from aligned intent have to work much harder to get our attention. Ads that are aligned with intent (search ads are probably the best example) can be much more subtle. This was shown in another study Enquiro conducted in 2007. We found that while more intrusive ads (i.e. video ads) did a better job at attracting our eyeballs, they didn’t do so well in convincing us to consider the advertised product. Which ad format performed the best? The lowly text ad, if it was relevant and aligned with consumer intent.

adformat

Let’s go back to our mental attention focusing apparatus and explore some of the possible reasons for this advertising dilemma: why do the ads that are best at grabbing our attention seem to be the worst at putting us in a positive frame of mind about a potential purchase (note: I have reservations about the research methodology here, which I’ll talk about at the end of this post)? Remember, we go to a webpage with a specific intent. Intrusive, interruptive ads have to pull out a bag of tricks to hijack our attention. The most effective of these play directly into the properties of peripheral vision, which acts as a type of early warning system for us. Peripheral vision evolved to keep us alive and warn us of potential danger. What signal is the most reliable predictor of potential danger? You guessed it – movement. Something moving in the corner of our eye is sure to get our attention. But it comes at an emotional cost.

The brain has a rather effective mechanism that allows us to put our tasks on hold if it believes we’re in danger. In effect, the prefrontal cortex – the thinking part of our brain – is bypassed by our danger circuits, routed directly into the amygdala and sub-cortex – the “animal” part of our brain. Movement in our field of vision gets us ready to flee or fight.

Now, you say, that’s ridiculous. Even the most annoying online ads don’t cause you to suddenly run away from your laptop. No, but there’s an element of proportionate response here. The brain also has a slightly delayed dampening circuit that assesses potential danger and shuts down the alarm if it proves to be false. In extreme cases (the oft-cited example of a garden hose mistaken for a snake in your shed) your heart stops racing, adrenaline stops pumping and your hands stop shaking. In mild cases (i.e. intrusive ads) it’s a much more subtle sense of anxiety and annoyance. The mechanism is the same, it’s the degree that differs.

Think about how annoying you find a particularly intrusive ad on a website where you’re there for a purpose other than to look at the ad in question. One of the key sins in usability is using movement in a page element which is not of primary importance in the page. The eye is continually dragged away from what it is trying to do. Yet, this is exactly what most sites do when they include rich media or video ads. Yes, the ads get our attention but in doing so, they almost always piss us off. The reason is that we resent being tricked into paying attention when our intention is to do something else.

Now, I said I did have quibbles with typical ad effectiveness metrics that we and almost everyone else uses in most effectiveness studies. The opinion we get from a respondent immediately after exposure to an ad is typically not very indicative of the longer term effectiveness of an ad. For one thing, it doesn’t capture the subliminal influence of an ad. Barring any compelling empirical evidence, it’s difficult to say what the long term effectiveness of an intrusive but annoying ad might be.

Tomorrow, I’ll pick up this topic again as we look at how our attention focusing plays out on a page of search results.

How Our Brain Scans a Webpage

eyesYesterday, I explained how our brain finds “Waldo.” To briefly recap the post:

  • We have two neural mechanisms for seeing things we might want to pay attention to: a peripheral scanning system that takes in a wide field of vision and a focused (foveal) system that allows us to drill down to details
  • We have neurons that are specialists in different areas: i.e. picking out colors, shapes and disruptions in patterns
  • We use these recruited neuronal swat teams to identify something we’re looking for in our “mind’s eye” (the visual cortex) prior to searching for it in our environment
  • These swat teams focus our attention on our intended targets by synchronizing their firing patterns (like a mental Flash Mob) which allows them to rise above the noise of the other things fighting for our attention.

Today, let’s look at the potential implications of this in our domain, specifically interactions with websites.

But First: A Word about Information Scent

I’ve talked before about Pirolli’s Information Foraging Theory (and another post from this blog). Briefly, it states that we employ the same strategies we use to find food when we’re looking for information online. That’s because, just like food, information tends to come in patches online and we have to make decisions about the promise of the patch, to determine whether we should stay there or find a new patch. There’s another study I’ve yet to share (it will be coming in a post later this week) that indicates our brain might have a built in timer that controls how much time we spend in a patch and when we decide to move on.

The important point for this post is that we have a mental image of the information we seek. We picture our “prey” in our mind before looking for it. And, if that prey can be imagined visually, this will begin to recruit our swat team of neurons to help guide us to the part of the page where we might see it. Just like we have a mental picture of Waldo (from yesterday’s post) that helps us pick him out of a crowd, we have a mental picture of whatever we’re looking for.

Pirolli talks about information scent. These are the clues on a page that the information we seek lies beyond a link or button. Now, consider what we’ve learned about how the brain chooses what we pay attention to. If a visual representation of information is relevant, it acts as a powerful presentation of information scent. The brain processes images much faster than text (which has to be translated by the brain). We would have our neuronal swat team already primed for the picture, singing in unison to draw the spotlight of our attention towards it.

Neurons Storming Your Webpage

sunscreenshotFirst, let me share some of the common behaviors we’ve seen through eye tracking on people visiting websites (in an example from The BuyerSphere Project). I’ll try to interpret what’s happening in the brain:

The heat map shows the eye activity on a mocked up home page. Remember, eye tracking only captures foveal attention, not peripheral, so we’re seeing activity after our brain has already focused the spotlight of attention. For example, notice how the big picture has almost no eye tracking “heat” on it. Most of the time, we don’t have to focus our fovea on a picture to understand what’s in it (the detail rich Waldo pictures would be the exception). Our peripheral vision is more than adequate to interpret most pictures. But consider what happens when the picture matches the target in our “mind’s eye”. The neurons draw our eye to it.

One thing to think about. Words shown in text are pictures too. I’ll be coming back to this theme a couple of times – but a word is nothing more than a picture that represents a concept. For example, the Sun logo in the upper left (1) is nothing more than a picture that our brain associates with the company Sun Microsystems. To interpret this word, the brain first has to interpret the shape of the word. That means there are neurones that recognize straight edges, others than recognize curved edges and others that look for the overall “shape” of the word. Words too can act as information targets that we picture mentally before seeing it in front of us. For example, let’s imagine that we’re a developer. The word “DEVELOPER” (2) has a shape that is recognizable to us because we’ve seen it so often. The straight strokes of the E’s and V’s, sandwiched between the curves of the D’s, O’ and P’s. As we scan the overall page, our “Developer” neurons may suddenly wake up, synchronize their firing and draw the eye here as well. “Developer” already has a prewired connection in our brains. This is true for all the words we’re most familiar with, including brands like Sun. This is why we see a lot of focused eye activity on these areas of the picture.

Intent Clustering

In the last part of today’s post, I want to talk about a concept I spent some time on in the BuyerSphere Project: Intent Clustering. I’ve always know this makes sense from an Information Scent perspective, but now I know why from a neural perspective as well.

Intent clustering is creating groups of relevant information cues in the same area of the page. For example, for a product category on an e-commerce page, an intent cluster would include a picture of the product, a headline with the product category name, short bullet points with salient features and brands and perhaps relevant logos. An Intent cluster immediately says to the visitor that this is the right path to take to find out more about a certain topic or subject. The page shown has two intent clusters that were aligned with the task we gave, one in the upper right sidebar (3) and one in the lower left hand corner (4). Again, we see heat around both these areas.

Why are intent clusters “eye candy” for visitors? It’s because we’ve stacked the odds for these clusters to be noticed peripherally in our favor. We’ve included pictures, brands, familiar words and hints of rich information scent in well chosen bullet points. This combination is almost guaranteed to set our neural swat teams singing in harmony. Once scanned in peripheral vision, the conductor (the FEF I talked about in yesterday’s post) of our brain swings our attention spotlight towards the cluster for more engaged consumption, generating the heat we see in the above heatmap.

Tomorrow, I’ll be looking at how these mechanisms can impact our engagement with online display ads.

The Best of 2009 from Out of My Gord

For those of you who follow me on Twitter (@outofmygord) you know that I usually tweet the top 3 posts of the week and the month. Now that an entire year has past, 140 characters just didn’t seem to have enough bandwidth to include the favorites of both my readers and myself, so I’m doing a special post looking back at the past year. Here, in somewhat scientific reverse order, is the best of Out of My Gord for 2009

10.  The Top 10 Reasons We Love Top 10 Lists

I knew this one was going to come back to bite me. This rant about Top 10 Lists actually ended up making my own top ten list. Yes, I know..the irony is delicious. Just shut up and read the damned post.

9. Who Says Subliminal Advertising Doesn’t Work?

Nothing like a viral video to get the retweets. But truly, mentalist Derrin Brown has an amazing example of the power of subliminal persuasion.

8. A New Way to Think About Attribution

An irresistible combination: Attribution models, the cognitive influence of ads and Avinash Kaushik getting married. A long and fairly involved post exploring a possible attribution model

7. The Usability Acid Test

Everyone says they do usability testing, so why do so many sites suck so bad? I think the answer lies in how deeply a concern for the customer is embedded in your corporate culture. Here are some sole searching questions to ask yourself.

6. A Lesson in Social Media from Glee

Fox’s runaway hit show is more than good TV, it’s a carefully planned assault on all social media fronts. Here I walk through what makes Glee so damned viral. Too bad they suck at search.

5. Aligned Intent: A Different Ad Engagement Metric

Another long post that was actually part of a week long series sparked by the cluelessness of Ruport Murdoch. Here I look at some of our recent findings about engagement with ads and the role of intent. I’m convinced this is really important stuff in understanding how online advertising works.

4. The Cult of Technology

Bell curves always have fascinated me. I am always amazed by how we all feel we’re unique, yet statistically we’re so much alike. This is also true for how we interact with technology. The truth is, all digital marketers are outliers on the curve, yet we make decisions assuming we represent the majority. Bad mistake!

3. Google: Bad Behavior

What would a year be without at least one rant at a search engine? Eager not to disappoint, I went off on Google and their plans for behavioral targeting in this post. And, predictably, my posts with the highest degree of bile seems to be the ones that attract the most eyeballs.

2. Microsoft’s Walk vs Microsoft’s Talk

Yes, another rant snagged the top 2 spot. Microsoft’s announcement of their $100 million campaign to support the release of Bing got me a little hot under the collar. I still think the alternative I offered in the last paragraph was brilliant, if I do say so myself. In hindsight, I still believe I was right, but I do have to say that I believe Microsoft is moving in the right direction. They’re just going far too slow for my tastes. Less talk and more walk – and I stand by that!

1. Your Brain on Google: Interview with Dr. Teena Moody

By far my most popular post was the transcript of my interview with Dr. Moody at UCLA. Dr. Moody was with the team of researchers that did the first fMRI study on search engine usage. This, of course, was right up my alley so I was eager to talk to Dr. Moody about it. We touched on a number of interesting areas.

In looking over the list, I have to say that with a few exceptions the readers got it right. My most popular posts were also my best ones. I’ve learned that quality comes with quantity. You just have to keep pumping it out – some will be hits and some will be duds. And, while I’m writing the posts, I’m a terrible judge of which will be which. As you have probably realized, I made a commitment back in the fall after an unforgivable lapse to regular blogging and so far I’ve managed to keep it up.

I hope you’ve enjoyed the posts over the last year.

How Our Brain Finds Waldo

At Enquiro, we did some interesting work in 2009 with visual attention and engagement with ads. We found, for example, that attention significantly impacts how we see ads and retain the messages shown within them. We also found that brands can play a vital role in this process. Over the Christmas holiday, I found a number of neurological studies that start to shed some light on how we might visually process information on websites and the role advertising might play. This week, I’ll be breaking them into individual elements and exploring them a little more fully, showing the practical applications for advertisers and web designers. Much of this was also covered in my book, The BuyerSphere Project.

Today, let’s spend some time finding Waldo

The “Where’s Waldo” Neuronal Choir

whereswaldoHow much mileage can you get from creating exercises in visual attention. Well, if you’re Martin Hanford, the answer is: a lot! Hanford created the phenomenally popular “Where’s Waldo?” set of books. At last count, Hanford’s playful take on visual attention had produced a couple dozen books, video games, an animated series and even a potential movie deal. And it all comes down to the same basic premise: how long does it take us to find one distinct element in a visually busy environment? How do our eyes pick Waldo out of a visually dense picture, packed with details and optical red herrings?

That was the question researcher Robert Desimone, director of the McGovern Institute for Brain Research and the Doris and Don Berkey Professor of Neuroscience at MIT decided to tackle. Specifically, he wanted to explore two differing schools of thought:

Do we move our attention around the page like a spotlight, physically scanning the environment inch by inch looking for Waldo, the intended target of our attention; or,

Do we scan the image as a whole, looking for clues in the overall pattern about where Waldo might be?

The answer appears to be both. And the reason both systems are active come from our evolutionary past. We need to focus attention on the task at hand, but we also need to scan the environment for signals of something that might suddenly need our attention. And the way the brain does this is fascinating. It does it by literally creating a choir of neurons, all firing in a synchronized pattern. It seems to be this synchronization that represents the focusing of attention.

Picking Waldo Out of the Crowd

Let’s go back to Waldo. Neurons tend to have specialized functions. We have neurons that are better at picking out colors, neurons that a better a picking out the edges of shapes and other neurons that pick out patterns. In the case of Waldo, before we ever start scanning the page, we recruit the neurons that are best suited to recognized the distinct image of Waldo. For example, because Waldo is dressed in red, we recruit the red neurons. We create a picture of Waldo in our “mind’s eye.”

So, we have our handpicked neuronal “swat team” ready to intercept Waldo. But, how do we actually find Waldo? This is where the two mechanisms of the brain work in unison. In eye tracking, you soon learn the difference between foveal attention and peripheral attention. Foveal attention is where the brain focuses our eyes, allowing us to pick up fine detail. When we read, for example, we use foveal focus to pick up the shape of the letters and interpret them. Eye tracking only picks up foveal attention. This represents the “spotlight” function of attention.

But the brain has to tell the eyes where to move next. And to do this, it relies on peripheral attention. This is what we see out of the “corner of our eye”. Peripheral attention allows us to scan a much broader field of vision to determine if there are elements in it that merit the refocusing of foveal attention. Peripheral vision is particularly tuned to movements and coarser visual cues. This has significant impact on the effectiveness of advertising, which I’ll talk about in a future post. For today, it’s sufficient to understand that peripheral vision allows us to scan our environment in a repeating “quick and dirty” pattern.

Now, our neuronal swat team has identified the target pattern for us. This image has been implanted in our prefrontal cortex as a “top down” imperative, a directive to our visual cortex. And, through peripheral vision, we’re scanning the entire picture to find possible matches. To help separate the most promising areas of the picture from the background noise of the other detail, it appears that an area of the prefrontal cortex, the FEF, orchestrates our hand picked neurons to synchronize their firing. This synchrony helps the signals from this group of neurons stand out from the noise of the rest. It works just like the the synchronized dancing in these examples of flash mobs –  the Sound of Music in an Antwerp train station, a Glee medley in a Roman piazza and the Black Eyed Peas surprising Oprah.

Sound of Music | Central Station Antwerp (Belgium)
GLEE – Il FlashMob
Black Eyed Peas – I got a feeling on Oprah Chicago Flashmob

Just like the dancers in these Flash Mobs- the synchronization helps our “Waldo” neurons stand out from the crowd, raising above the noise. As we scan the image through the periphery of our visual focus, the FEF orchestrates the neural synchrony of our group of “Waldo” neurons, drawing the spotlight of foveal attention to the parts of the picture most likely to contain Waldo. There, we switch to a more detailed scanning to determine if Waldo is indeed present.

Tomorrow, we’ll use the same basic theory to talk about what happens when we first visit a website.

If you want to find out more about Dr Desimone’s work, read these two articles:

Long-Distance Brain Waves Focus Attention

Research Explains How The Brain Finds Waldo

How Google Became a Verb

First published December 31, 2009 in Mediapost’s Search Insider

It’s probably because I’m just finishing a book (The Stuff of Thought) by famed linguist and cognitive psychologist Steven Pinker, but grammar has been on my mind more than usual lately. And in particular, I was fascinated by how we use Google in our language. Google, of course, has been “genericided” – the fate that falls on brands that lose their status as a protected brand name and become a generic term in our vocabulary. This causes much chagrin with Google’s legal and marketing team. What is more interesting however is the way we’ve taken Google into our lexicon.

Of Nouns and Verbs

Most brands, when they get incorporated into our language, become nouns. Kleenex, aspirin, escalators, thermoses and zippers all went down similar paths on the road to becoming common terms that described things. It might interest you to know, for instance, that in Japan, staplers are known as Hotchkisses (or technically, hochikisu). Google, however, is different. The word Google doesn’t replace the noun “search engine,” it replaced the act of searching. We made googling a verb. And that is a vital difference. We don’t call all search engines Google. But we do refer to our act of searching as googling.

More than this, we made Google a transitive verb – “I googled it”. That means I (the subject) used Google (the verb) to do something with it (the object). Pinker says the way we use words betrays the way we think about the world. Verbs are the lynchpins of our vocabulary, because we use them to explain how we interact with our physical world. And transitive verbs, in particular, act as connectors between us and the world. I once said that search was the connector between intent and content. The enshrining of Google as a verb reflects this. The act of googling connects us with information.

Sampling the Outside World through Google

But the use of Google as a transitive verb also gives us a glimpse into how we regard the gathering of the content we Google. Transitive verbs tend to reflect a transfer from the outside to the inside, a consumption of the external, either physically or through our senses: I drank it, I ate it, I saw it, I heard it, I felt it. In that sense, their use is personal and fundamental. “I googled it” gives us a sense of metaphorical transference – the consumption of information.

So, what does this mean? If you look at the role of our language, there is something of fundamental importance happening here. Language is our collection of commonly accepted labels that allow us to transfer concepts from our heads into the heads of others. These labels are not useful unless they mean the same thing to everyone. When I say thermos, you know instantly what I mean. Your visualization of it might be slightly different than mine (a Batman thermos from grade 5 is the image that I currently have) but we can be confident that we’re thinking about the same category of item. We have a shared understanding.

Speaking a Common Language

This need for commonality is the threshold that new words must cross before they become part of common language. This means that critical mass becomes important. Enough of us have to have the same concept in our heads when we use the same label before that label becomes useful. Generally, when technology introduces a concept that we have to find a new label for, we try a few variations on for size before we settle on one that fits. Common usage is the deciding vote.

With things like new products, the dominant brand has a good chance of becoming the commonly used label. Enough of us have experience with the brand to make it a suitable stand in for the product category. We all know what’s meant by the word escalator. And new product categories creep up fairly regularly, forcing us to agree on a common label. In the last decade or two, we’ve had to jam a lot of new nouns in our vocabulary: ATM’s, fax, browser, Smartphones, GPS, etc. Few of these categories have had enough single brand domination to make that brand the common label. Apple has probably come the closest, with iPod often substituting for MP3 player.

The material nature of our world means that we’re forever adding new nouns to our vocabulary. There are always new things we have to find words for. That’s why one half of all the entries in the Oxford dictionary are nouns. The odds of a brand name becoming a noun are much greater, simply because the frequency is higher. And by their nature, nouns live apart from us. They are objects. We are the subjects.

The Rarity of a Verb

But verbs are different. Only one seventh of dictionary entries are verbs. Verbs live closer to us. And the introduction of a new verb into our vocabulary is a much rarer event. This makes the critical mass threshold for a verb more difficult to pass than for a noun. First of all, enough of us have to do the action to create the need for a common label. Secondly, it’s rare for one brand to dominate that action so thoroughly. The birth of googling as a verb is noteworthy simply because so many of us were doing something new at the same place.

Why did I share this linguistic lesson with you? Again, it’s because so many of us are doing something at the same place. New verbs emerge because we are doing new things. We do new things because something drives us to do them. That makes it a fundamental human need. And to have that fundamental human need effectively captured by one brand – to the point that we call the act by the brand’s name – offers a rare opportunity to catalogue human activity in one place. One of the most underappreciated aspects of search marketing is the power of search logs to provide insight into human behavior. That’s what my first column of 2010 will be about.

And, just to leave you with a tidbit for next week, currently another brand name is on the cusp of becoming a verb (although it’s exact proper form is still being debated). The jury is still being assembled, but Twitter could be following in Google’s footsteps.

The Decline and Fall of Our Mythologies

What happens when information swamps our common myths? What happens to humans when facts overtake commonly shared fantasies?

In yesterday’s post, I started by looking at how our culture might be moving too quickly for myths to keep up. This is important because human’s have historically used myths to create a “oneness” of mind. Myths often come bundled with behavioral codes and societal rules. Myths have dictated how we should think and act. Myths rule the mob.

But in the last century, one sweeping technical advance had two very different impacts on two different parts of our world. Today, I want to examine the impact of TV in North America and Communist Russia.

The Death of Mythology in America

bowlingaloneIn his book Bowling Alone, Robert Putnam noticed that American values did an abrupt u-turn somewhere in the middle of the 60’s. After a decades long trend of increasing participation in community activities, Americans stopped spending time together. They went to church less often, belonged to fewer service organizations, attended fewer PTA meetings, stopped having dinner parties, stopping playing Bridge with the neighbors and quit their bowling leagues. Not coincidentally, the percentage of voter turnout in elections also started to drop. Americans, once the most intensely community minded people on earth, stopped spending time with each other.

This trend didn’t make American’s bad people, however. At the same time that American’s became less concerned about the well being of their immediate community, they became more concerned about universal issues such as civil rights, equality of women, international piece, religious persecution, sexual intolerance, freedom of speech and nuclear disarmament. At the same time we were becoming less engaged with our communities we were becoming more open minded and tolerant in our ideologies.

bowlingalonegraphThe chart shown, from the BuyerSphere Project, provides one hint about why this mental about face may have happened in the middle of the 60’s:

As you can see, the 50’s and 60’s were also the decades where most of us brought TV into our homes. In 1950, only about 12% of American homes had TV. By 1960, that number had exploded to 78%. This meant we spent more time in our homes, which naturally meant we spent less time outside the home, interacting with others. That alone might explain our withdrawal from our communities. But a simple reckoning of where we spend our time wouldn’t explain the ideological blossoming of America. I believe it was more than just where we were spending our time. I believe it was what we were spending our time doing. As we viewed the world through a flickering blue screen, our common myths were being slowly but surely destroyed.

Myths rely on an absence of information. Myths depend on a singular point of view, supported by carefully chosen and disseminated information, in the guise of facts. The more singular the culture, the more important it is to carefully restrict the flow of information. Societies where there are strict codes of behavior and adherence to one ideology have the tightest censorship rules and the most virulent propaganda.

The Myth of the American Dream

While America in the first half of the 20th century was philosophically a democratic, pluralistic society, it was, in practice, a culture heavily bound by commonly held myths. In 50 years, America was rocked by two world wars and a decade long economic crisis. Well over half of these 50 years was spent united against a common enemy and sharing in common hardships. We were sustained by our mythologies – the importance of hard work, the ultimate rightness of democracy, the ultimate wrongness of tyranny, the ideal of the American dream. Our channels of information carefully supported these myths and filtered out dissenting facts. Even in the 50’s, the imagined spectre of Communism helped us maintain a common mythology, leading to McCarthyism and other irrational behaviors.

But in the 60’s, the electronic window of television provided a new channel of information. The history of television typically runs a similar path wherever it plays out. In the beginning, it is a tightly restricted channel that offers governments and other power structures an unprecedented opportunity to build and strengthen common mythologies through controlled programming and propaganda. But, over time, the leash on TV programming inevitably gets loosened. It’s difficult to keep too tight a reign on a communication medium that travels freely over the airwaves. The common mythological view gives way to a pluralistic, fragmented pipeline of information. We see other realities, other ideologies, other cultures. As awareness seeps into our collective consciousness, our myths start to die. Our “oneness” gets fragmented across multiple ideological and sociological lines.

This, I believe, is what happened to us, starting in the 60’s. Television forever changed how we looked at the world. TV provided the lens through which we lost our innocence, discovering other truths beyond the American mythology. Putnam also cites TV as one of the factors that eroded our social capital. I suspect it played a bigger part than even he imagined.

The Death of Mythology in the USSR

communist-poster-1967-grangerIf the effect of TV was earth shaking in a democratic America, at least it appears that most of our institutions will survive the transition. Our governments are essentially built on the same foundations they were a century ago. The same was not true for Communist Russia. There, the very structures of government crumbled along with their myths.

In the analysis of the decline and fall of Communism in the former Soviet Union, the role of television has only been mentioned in passing, but the timeline of the introduction of TV and the decline of the Soviet Communist government are suspiciously aligned. State controlled TV was introduced in the Soviet Union at roughly the same time as in North America (just before World War II) but its spread was delayed by the war. Also, the saturation rate of TV in the Soviet Union lagged far behind America. In 1960, when 78% of Americans had a set in their homes, only 5% of the Soviet population could watch TV. It wasn’t until the mid 80’s that over 90% of Soviets could watch TV. This coincided almost exactly with the introduction of glasnost (transparency, openness and freedom of information) and perestroika (a restructuring of government) by Mikhail Gorbachev. Demands for more openness and freedom moved in lock step with the adoption of TV and the lessening of restrictions on programming.

If the pervasiveness of myths was an important factor in the history of America, the very mythology of Communism was the foundation of Soviet history. History was literally rewritten to make sure that available information aligned with the mythology currently in vogue. And this mythology, the utopia of Communist ideology and the depravity of capitalism (myths that run directly counter to our western ones) kept the emotions of Soviets aligned for the first 60 years. But just like their American counterparts, TV provided Soviets with a glimpse of reality beyond the mythology. There were other channels of information that began to erode faith in the myths. The speed of TV surpassed the durability of the myths. The rest, as they say, is history.

The Accelerated Demise of Our Myths

The decline of our myths started with the introduction of TV, but the fragmentation of our ideologies and realities has been accelerated dramatically by the Internet. We are bombarded by information, much of which comes to us through unedited, unrestricted channels. The Internet is a massive organic hotbed of differing opinions from millions of different voices. Myths can hardly hope to survive in such an environment.

My original question was: what happens when information strips away our myths, along with the social codes embedded in them? What happens when our common views are shattered into billions of different fragments? If the introduction of TV caused the social fabric of America to unravel and the Soviet empire to crumble, what will the digital onslaught of information do?

What indeed?

Living Between the Disconnected Dots

We’ve been in transition for a long time. And it’s starting to wear us down.

Cognitive anthropologist Bob Deutsch had a column this morning that talked about the crisis of time we’re all experiencing in our lives. It seems we’re always rushing to do something. In the column, Bob had a paragraph that jumped out at me:

The consumer finds himself at a cognitive impasse, where America is presently “between mythologies.” We are not what we once were, and we do not yet know what we will become. This is a hard place for a culture. Worse, because of the speed of the culture, and the perceived complexity and unpredictability of things, people experience the world as a series of unconnected dots.

Myth-Beggoten

virginofguadalupewikiHis line – ‘between mythologies” – was particularly interesting. Humans are animals that need to share a lot of things. We are herding animals and this need to herd drives much of our behavior. We look for commonalities and feel more comfortable when we find them. It gives us a sense of belonging that is very important. And myths are an essential part of that formula.

For our entire history, our shared acceptance of myths has united us. Myths govern our view of the world. They are the tools we have invented to explain the unexplainable. But, one by one, science and technology have stripped down our myths and thrown them into question. Myths come from the deeper, darker recesses of our brain, down in the sub cortical regions of our neural basement. They don’t stand up very to the cold hard light of rational reasoning. And increasingly, we are forced to be reasonable about the things in our life. Information drives us towards reason, and we have more information thrown at us than ever before.

Moral Reinforcement

Myths also served another purpose. They gave us rules to govern our behavior. Most of our myths were religious in nature and came with a corresponding code of social behavior. The basic rules of herd survival,  including fairness and reciprocal altruism, were baked into the package. That’s why a variation of the Golden Rule is found in every single religion in the world.

But, when the myths start to break down, what happens to the rules of behavior that came bundled with them? We start to get confused. Things start to become disconnected.

The Atheist Next Door

There’s a mix up of cause and effect that we struggle with when we talk about things like religion. Even if we renounce our religion, we don’t suddenly become evil people. Just because atheists don’t believe in God doesn’t mean they’ve freed themselves from the obligation to do right  by their fellow man.  In fact, if you had to pick someone to be your neighbor, an atheist wouldn’t be a bad choice. Statistically speaking, the percentage of atheists in prison is far less than the percentage of atheists in the general population. Atheists are also less likely to get divorced. When you look at the types of behavior that govern the continuance of social harmony, atheists have a far better track record than most segments of the population.  Religion doesn’t cause morality. Morality superseded religion. You could say morality begat religion. Unfortunately, a lot of the less noble instincts of our species also got tied up in the whole religious bundle – including the tendency of humans belonging to different herds to try to kill each other.

But when our myths, including religion, start to slip away under the scrutiny of rationalization, we start to feel cut out from the herd. We start to become disconnected from our sense of “oneness”. We still try to do the right thing, but the reason why isn’t as clear as it once was. If we stop to think about it, we can come up with a Dawkinesque rationalization using things like game theory and “tit for tat” reciprocal strategies, but it was a whole lot easier just to believe that God would smite us if we weren’t nice. The fact is, we don’t take much time in our lives to “stop and think.” We cruise through live 95% of the time on emotional autopilot and myths are great guidance systems for emotions.

Myth-drift

So, back to Deutsch’s point. What happens as we drift between mythologies? The Pew Forum on Public Life and Religion has shown that the percentage of “non religious” people in America has grown from just over 7% in 1990 to over 16% in 2007. What is perhaps even more telling is to see how that group breaks down. Only 1.6% were atheists and 2.4% agnostics. These are the ones who were, to some degree, proactive about severing their ties with an accepted mythology. 12.1% were simply drifting away from their mythologies. They were wandering out there, beyond the idealogical boundaries of the herd.

Deutsch talks abut the increasing pace of our lives being the culprit in our sense of disconnection. And, in that drive to do more in less time, we tend to sample life in little commoditized chunks. Ironically, in the same email that continued the link to Deutsch’s article was a sidebar with the top 10 franchises of 2009, courtesy of Entrepreneur magazine:

Top 10 Franchises Of 2009
1.    Subway
2.    McDonald’s
3.    7-Eleven
4.    Hampton Inn/ Hampton Inn & Suites
5.    Supercuts
6.    H & R Block
7.    Dunkin’ Donuts
8.    Jani-King
9.    Servpro
10.    am/pm Mini Market

It was a fitting echo to Deutsch’s words. The most successful businesses are the ones that slice off some aspect of our lives and serves it up to us fast and shrink wrapped, preferably at a cheap price.

I’m not so sure we are simply “between mythologies” as Bob Deutsch suggests.  I suspect we’re moving too fast for myths to keep up. Myths, by their very nature, have to grow to critical mass to be effective. Historically, myths were the foundation for global religions. Today, myths are email strings that quickly get exposed on snopes.com. We deconstruct myths before they get a chance to gain enough traction to serve their purpose: uniting us in a common view. We have access to too much information for myths to stand much of a chance of survival. That’s where I’ll pick up in tomorrow’s post.