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First there was the Furby, then the Tamagotchi, soon there will be the iKat, a virtual pet that you can only see through your phone. The iKat even has a shadow.

Though it looks pretty simple, the technology behind the iKat opens up a lot of possibilities for augmented reality apps. The technology allows a phone to recognize spaces in 3D and add virtual objects into them in realtime, which could be used to show directions in perspective, play games based on your local environment, and everything in between.

A quote from Google vice-president of Global Ad Operations John Herlihy has been getting some attention in the blogosphere lately. He was quoted as saying “In three years time, desktops will be irrelevant. In Japan, most research is done today on smart phones, not PCs.” Obviously that’s what Google is banking on, with heavy investments in operating systems for mobile phones (Android) and netbooks (ChromeOS) or whatever notebooks end up evolving into. I think saying desktop computers will be irrelevant in three years is over stating things by quite a bit. It would be more accurate to say that in three years the diversity of net connected devices will increase by a lot. Instead of just desktop computers, notebooks and mobile phones, consumers will have a wider spectrum of devices to choose from like the iPad, net enabled eBook readers, smart-phones on steroids, etc. We’re seeing the early signs of this already.

TechCrunch has a somewhat related article, In Mobile, Fragmentation is Forever. Deal With It. With new platforms and OS’s come new design and development challenges. Graceful degradation, which never worked well to begin with, won’t cut it when you have many, many levels of degradation to support. User experiences will have to be more specific to a platform. And the fragmented nature of devices outside of the conventional PC will likely not go away.

New Ideas, Users and You

October 15th, 2009 @ 12:37 pm

A co-worker of mine pointed me to this video on YouTube, Stone and Stone Wheel. I’ve been thinking a lot lately about innovating versus adhering to convention and when and when not to pay attention to user testing data, and this video really got me thinking.

I remember way back in 1999 observing my first user test, I was working for frog design on a web site for a large direct sales computer manufacturer. The client had taken it upon themselves to hire a third party to conduct user testing on the site which frog, in collaboration with the client’s own web team, had just launched. It was both awesome and horrifying to see users actually using that which we had created. Some of our design decisions succeeded exactly as we thought they would while some, that we had thought were pretty simple and straight forward, baffled users to point where they could not complete necessary tasks. The whole experience was very enlightening.

When I got back from user testing I talked to one of the managers at frog about user testing and asked why frog didn’t as a matter of process include it in their projects. I was told that frog doesn’t do user testing. Period. The argument against it was users often do not respond well to new or innovative ideas (and frog had built its reputation on new and innovative ideas.) New or innovative work will rarely test well, thus negating the relevance of user testing.

Since I left frog I’ve heard that they have changed this policy (if it ever was an official policy, rather than just a general stance by the management.) And since I’ve left frog I’ve gotten to work with a lot of user experience professionals. Some of which have insisted that everything be tested. Every decision should be in some way be run by users. I’ve seen the User Centered Design methodology be taken to great lengths, where paper prototypes, then wireframes, then design comps, then the finished site are tested revised and retested until the data shows what the usability experts are looking for. If a user does not figure it out on the first try, it’s a fail.

I’ve also worked with user experience professionals who have demonstrated that there are ways to test new ideas and that not all data from user tests should be taken at face value. Just because someone doesn’t figure something out on the first try doesn’t always make it wrong. Sometimes it’s when a user doesn’t figure it out on the second or third try that it means something is wrong, and the fact that the user found something compelling enough to try to use it multiple times should be given some weight. Innovative ideas introduce a learning curve, it’s whether or not users are willing to overcome the learning curve that should be paid attention to.

Designers should always listen to their users. Designers should really listen to everyone, you never know where a good idea might come from. But being a good designer means knowing which ideas to use and which feedback to listen to. Good designers also know when to take a risk and try something new and when to stick to convention. My own philosophy on the subject is based on a quote from Charles and Ray Eames, “Innovate as a last resort.” If an method exists that users are familiar with, use it. Use it unless you think you’ve really got something new that works, and when you do, test it. And if no one gets it in testing, weigh the costs versus benefits before going forward anyway.

Offline Cookies

September 30th, 2009 @ 1:39 pm
Tags: News, Technology

The New York Times article and the survey it covers reminds me of a blog post I wrote for my old blog about what referred to as offline cookies. I may be in the minority on this one, but I actually am OK with user/consumer behavior tracking, just as long as people are not identified by name in the data. I know it’s a short step between being user 098733 and actually being identified by name, and often it;s not technically difficult to figure out who user 098733 really is. But still to potential of tracking user behavior is huge. We, those of us in the internet industry just need to use this power for good and not evil. Here’s my blog post from January 28, 2002 titled Offline Cookies:

A few years back, Levis opened the new and improved Levis Store in San Francisco. Along with tailoring your jeans, the store would also remember your measurements. You could go into the store, walk up to a terminal, and via a DHTML interface, place an order to have new jeans made up on the spot, just for you. The system would let you choose between relaxed fit versus snug, black versus blue, strait leg versus tapered, etc. And you could bet that this info was stored for marketing purposes. I think this info was even available online for a while, so you could order more custom fit jeans. But the idea of storing info about customers in retail outlets never really caught on.

Now, the world of online/offline commerce is a little older and a little wiser, and a little greedier. CNN is running a very interesting article about the use of smart shopping carts and loyalty/discount card programs in grocery stores. Both of which are designed to collect information on, and in some cases make recommendations for, what individuals buy. Some of this info is collected anonymously, most of it not. This info is then used to determine how people shop, what they shop for, which promotions work and who the most loyal customers are. Much like online cookies, the potential to use and abuse of this information is huge. Is this information kept confidential, or is it sold to various marketing data collection groups? How complex are the customer profiles, do they know I’m a vegetarian? If I buy Tide, lighter fluid and a box of nails all in one visit to the store, are they going to call the cops? Or are they going to give me, and me alone, special discounts on oatmeal raisin cookies cause I buy them so much? Or how about reminding me when I haven’t bought toilet paper in a few months, so I don’t have to deal with the ugly and embarrassing consequences of completely running out? Should we fear or embrace this technology?