A single-celled slime mold (physarum polycephalum) can solve mazes, mimic the layout of man-made transportation networks and choose the healthiest food from a diverse menu – and all this without a brain or nervous system:
Lesson: deploy resources efficiently – really smart solutions often arise naturally, yet knowing what’s best still requires lots of prior research. But hey, if a slime mold can do it…
Scientists have created an artificial jellyfish using silicone and muscle cells from a rat’s heart. The synthetic creature, dubbed a medusoid, looks like a flower with eight petals. When placed in an electric field, it pulses and swims exactly like its living counterpart:
Lesson: even the most difficult concept can be somehow ‘brought to life’ – be it in a new context, through the addition of a couple of key ingredients, or sheer appliance of science!
I’ve written about Augmented Reality extensively in the past, but since the days of immersing myself in the purely theoretical potential for the medium, a few key players have rooted themselves in a very commercial reality that is now powering the fledgling industry.
And while B2B-focused vendors such as ViewAR remain behind the scenes, the likes of Aurasma and Blippar have soared in notoriety thanks to some quite excellent packaging and an impressive sales proposition. They are the standard bearers, at least in the eyes of the public.
I like Aurasma. But I also like Blippar. So which is better? Well, let’s find out… Here are some provocations I’ve been toying around with. See if it helps you decide, and let me know which side you fall on in the comments.
[twocol_one][dropcap]A[/dropcap]urasma has more technological power behind it. They have (supposedly) incorporated academic research into their proprietary tech and have a heritage in pattern recognition systems – remember their core business though: integrating with business critical processes and then slowly ramping up prices. They do this across all other Autonomy products! Also consider they are an HP property, whose business is hardware, not software. I believe Aurasma are only using this period of their lifespan to learn what does and doesn’t work, get better at it, gain status, equip users to enjoy AR, and then develop a mobile chipset (literally, hardware optimised for AR) that can be embedded in mobile devices, making HP buckets of royalties. They are chasing install base, but not because they want advertising bucks: they want to whitelabel their tech (i.e. Tesco, Heat & GQ) and then disappear into the background.[/twocol_one]
[twocol_one_last][dropcap]B[/dropcap]lippar have a proprietary AR engine, but are listed as using Qualcomm’s Vuforia engine – which is free to use. They seem focused on innovations in the augmented layer. Reading their interviews, they speak of AR not as a tech, platform or medium, but as a kind of magic campaign juice: stuff that reveals they are extremely focused on delivering a good consumer experience paid for by advertisers, with them as connective tissue. To this end, they too are chasing install base, but ultimately they have a different goal in mind. Being Qualcomm-backed, their future is in flexing their creative muscles and helping make AR a mass market medium through normalising behaviour. Big rivals: Aurasma in the short term, but I imagine that one day, Aurasma will revert back to being a tech platform, and companies like Blippar will provide the surface experience: where good content, not tech, will be what sells.[/twocol_one_last]
In B. F. Skinner’s famous experiment in operant conditioning, a lab rat is placed inside a container and rewarded with a food pellet on completion of a task, triggered by an external stimulus such as a light, a sound or a shock. The pattern of reward becomes increasingly inconsistent, following a ‘schedule of reinforcement’ controlled by the experimenter.
Skinner’s operant chamber allowed him to explore the rate of response as a dependent variable, as well as develop his theory of schedules of reinforcement. If the event increased the number of responses it is said to strengthen its responding and if it decreased the number of responses it weakens the responding.
In short: a Skinner Box allows one to observe habits being formed, through control of the conditions surrounding a subject and their reward.
The lessons learned span far beyond Psychology: Education; Behavioural Economics; Interpersonal Communication and even Video Gaming have each benefit from an understanding of operant conditioning, so it is no surprise to see advertisers capitalising on our easily pliable behaviours.
One such experimenter, a brand of flavoured rice cake, posed the research question “how far will you go for Fantastic Delites” – their conditions, a large scale Skinner Box and the baying masses of an Australian shopping mall.
The results are equal parts twisted, fascinating and funny:
The evidence suggests human subjects will endure an embarrassingly strict schedule of reinforcement, especially in a public scenario.
At last year’s TEDxObserver Cory Doctorow gave a talk comparing the machinations of Facebook to operant conditioning of a more dangerous kind… and I can’t help but feel he has a point.
We will go pretty far for free rice cakes – but would we go further knowing we were in a Skinner Box?
In this post I’ll introduce you to my new pet project: an experiment in Twitter automation. The Strategy Bot (pictured) is ‘programmed’ to select & retweet key digital media resources, case studies or news items that provoke a higher understanding of the formation of good digital strategy.
Some context… I will typically have the odd side project on the go at any one time. Recent examples have included:
Recategorising all my RSS feeds for mobile, web & iPad
Linking up Instapaper / ReaditLater / Pinboard & Twitter
Testing Facebook ads to see if I can drive Twitter followers
Playing with XFBML, the new Follow button and Google +1
Sketching people’s Twitter avatars with my new stylus
All of the above would be worthy of a blog post, and that might happen for a couple of them, but there’s been one project I’ve been thinking about for a while that I reckon just needs to be shared, because, dear reader, I need your help!
I’ve been interested in getting the most out of Twitter for a while, and I’ve been certain there is some utility among the network’s parasites: the lowly twitterbot. I’d love to perform an autopsy on one to see how they really work, as there are some excellent cases of these automata being actually quite useful or cool. For example:
Spotibot – @replies suggested music based on your requests
Easy Joke – RT’s with “that’s what she said” on certain phrases
There are loads more listed on the Twitter Fan Wiki, and of course there are millions of spambots that behave in similar ways. But I wanted to make something that would be primarily useful to me, and that others might enjoy too.
The idea arose from the need to detect, share and archive truly excellent links, without cluttering my personal Twitter feed. Did you know you can automatically add Twitter links to Pinboard for archiving? It’s a bloody useful way to passively log the stuff that’s held your attention. And did you know you can create a self-hosted archive of all your tweets? I use Tweetnest to this end, where I’ve been logging my personal tweets here. Try searching for something!
Mr. Strategy Bot is just another way to add useful stuff to my own personal content library. But throughout the course of his life, I’d like him to be useful to everyone. Or at least, everyone that works in digital media (you gotta have a niche). So how should I automate him to this end?
In my attempts to pin down what makes these robots work, I found a number of approaches, typically making use of Twitterfeed (a pretty blunt RSS syndication tool) or the Twitter API (way over my head). I needed something that would let me ‘scrape’ the top links from a list of Twitter users, and automatically RT the top five links.
I have totally failed in my attempts, even after a whole evening spent in the depths of Yahoo! Pipes. For now, I’ve had to settle on the manual way. Yep, I’m manually RT’ing the links until I find a better solution, five a day, with a bit of prose each time to help round out his character.
I will continue to research means of automating his behaviour, as I think the idea of one’s own personal virtual pet social robot is a really powerful idea. Wouldn’t you agree?
[box]Please leave a comment if you can help create virtual life! Let’s give this guy his own A.I. existence out in the digital ether.[/box]
In the meantime, you should follow him on Twitter here.
He’s programmed to follow back!
I’m talking about the principle that when things appear, or intend to appear as visibly human as possible they often can’t jump the gap in one’s perceptions, thereby freaking the living crikey out of an observer.
Take some time to digest the diagram above, and then hit up the video below to see what I mean. My suspicion is that, yeah, they’ve just about played it safe, but the characters in the film will feel less familiar than they did in the comics, or even the cartoon series.
For more on the Uncanny Valley, check out my post on Branded Robotics, where a leading scientist gives me his thoughts on what works and what doesn’t. Hopefully, the Tintin creators have done their research too.