Given the current state of affairs in Japan’s nuclear facilities, I thought it would be good to do a quick analysis of what’s going wrong and why the officials on the ground act as they do (based on very limited information that’s trickling in via the news sources). As of today (morning of March 14th), we have two reactors that have experienced explosions, partial core meltdowns, and multiple other failures. I’ve put together data from the news with failure analysis for an alternative view of the ongoing nuclear crisis in Japan. Like many aspects of usability, FAA (Federal Aviation Administration) was the first to develop practical understanding of Information Awareness and Failure Analysis—pilots and airplane designers what to minimize errors in flight and understand failure when it happens. Like the rest of the world, I’m extremely grateful for their insight into these two aspects of systems design and usability. Below is a quick introduction to the basics. Information Awareness Information Awareness is a wonderful term that describes the state of user’s knowledge of the problem at any particular time. This means that Information Awareness changes in time and from person to person. For designers of a complex system that aims…
Anchoring Errors
Anchoring Errors result from developing an ingrained position due to overexposure to a rare event.
Anchoring Errors, Background Knowledge Errors, Causal Net Problems, Diagnostic Errors, Errors, Mental Model Traps, Pipsqueak Articles
Alternative Medicine, Placebos, and Rasputin
by Olga Werby •
In the last few weeks there has been several articles and studies published on the effectiveness of alternative medicines and placebos: “Placebos Help Patients Even Without Faking It, Scientists Say“; “Sugar Pills Help, Even When Patients are Aware of Them“; and “Alternative remedies ‘dangerous’ for kids says report“; “Doctors warn over homeopathic ‘vaccines’“. The gist of these beliefs derives from several factors: People Tend to Get Better: most of us get well over time even without medical intervention. Colds pass; flues do too. Most infections heal with time without the aid of antibiotics. Evolution have provided the human race with a great immune system. Medicine helps, we get better faster with treatment. But in most cases, we survive. So when you hear someone recommend an alternative medicine and predict that a cold will go away in three days, chances are you will get better. And over time, we the people develop p-prims (folksy wisdoms) that link health with alternative tratments. “Natural Chemicals” p-Prims: there is a strong belief among industrialized societies, at the present time, that “natural” is better for us than “artificial”. There are many sources of this belief, too many to cover in this short article. And somehow,…
Anchoring Errors, Causal Net Problems, Cognitive Blindness, Conceptual Design, Cultural Bias, Cultural Differences, Errors, Group Decision Errors, Mental Model Traps, Mirroring Errors, Misapplication of Problem Solving Strategies, Pipsqueak Articles, Product Design Strategy, Scaffolding
TSA: the Good, the Bad, and the Ugly
by Olga Werby •
There has been a lot of stories lately about the Transportation Security Administration (TSA), and most have been less than flattering (to say the least). How can an agency that was designed to “serve and protect” the citizens of the United States from harm evoke such wrath from ordinarily shy and non-vocal travelers? This blog is about product design, and so my analysis of the situation will treat this as a failure of product design. Where are the failures? Mistake #1 TSA Conceptual Design: Blocking There are bad guys out there that want to do us—citizen travelers from US—harm. There are the box-cutter carrying terrorists, the shoe-bombers, the liquid explosives bandits, the underwear-bombers, the printer cartridge explosives engineers. TSA installed airport security measures that would counteract each of these threats as they revealed themselves. The basic conceptual design strategy here is blocking: identify a threat and find an effective block. This is a strategy based on hindsight: if we knew that people could sneak bombs in their underwear, then we would have had a way to block it. We didn’t know, but now we do, and so we created systems to block this threat in the future. TSA Game Plan: Escalating…
Anchoring Errors, Background Knowledge, Background Knowledge Errors, Causal Net Problems, Diagnostic Errors, Featured, Mental Model Traps, Metaphor Mistakes, Misapplication of Problem Solving Strategies, Pipsqueak Articles, Product Design Strategy, Scaffolding
What is a p-prim?
by Olga Werby •
I’ve been using the p-prim ever since I’ve learned of them, back in my graduate school days at UC Berkeley. P-prims stand for phenomenological primitives and were “invented” by Andrea diSeesa, a UC Berkeley professor in the School of Education who also happens to be a physicist (diSessa, 1983). Visit his Wikipedia page and check out some of the cool projects he’s working at now. Before I give a definition of a p-prim, I think it would be good to give a few examples. Here’s a graph published by OkTrends on beliefs of various groups (in this case as defined by their sexual orientation) about the relative size of our sun versus the Earth (our planet). Even disregarding the differences in percentages due to sexual preference, an awesome 5 % to 10 % of our population believes that the planet we live on is larger than the star it orbits. Would this qualify as a p-prim? Yes: it’s not a formally learned concept; it describes a phenomenon; it’s a bit of knowledge based on personal observations: the sun looks like a small round disk in the sky; it’s a useful problem-solving tool when one has to draw a picture with…
Anchoring Errors, Diagnostic Errors, Mental Model Traps, Metaphor Mistakes, Perceptual Blindness, Pipsqueak Articles
Perception & Context
by Olga Werby •
It’s All About Context When it comes to real-estate, it’s location, location, location. When it comes to design, it’s context, context, context. Consider the following scenario: you are going shopping at Good Will. You see a brand new coffee maker for $10. “Oh My God,” you say, “that’s incredibly expensive!” You don’t buy it. You go to Starbucks and see the exact same coffee maker on sale for $120. You get it—how can you pass up such a bargain? In a different setting, the perception of price of the coffee maker resolves as cheap even as the actual price is higher. Why? Why do we care about the context in which the product is sold as opposed to some other intrinsic characteristic? There are people who buy empty Tiffany’s blue boxes and cases. Why? So they can place jewelry and other gift items in there. The mere fact of being inside a blue box makes those object more valuable—they work harder. Again, the perceived value it’s not just in the intrinsic characteristic of an object in a box, but rather in the combination of the two: the product and its context. If a gift-giver tells you that the present you’re…
Anchoring Errors, Diagnostic Errors, Group Decision Errors, Mirroring Errors, Pipsqueak Articles
Jury & Group Dynamics
by Olga Werby •
Anchoring Errors, Background Knowledge, Background Knowledge Errors, Diagnostic Errors, Mental Model Traps, Pipsqueak Articles
Working Memory Limitations vs. the Size of Problem
by Olga Werby •
The illustration above comes from Wikipedia, which has a complete entry on the Asian proverb about blind monks who examine an elephant and generate multiple hypotheses of what it could be. In product design speak, these monks are doing collaborative problem solving with a shared goal of identifying a mysterious object—the elephant. The monks, the story goes, all come from different backgrounds: an old tailor touching an elephant’s ear describes it as cloth; an aging gardner hugging the leg imagines a tree trunk; an elephant’s tusk is envisioned as a weapon by an arms master. Each monk brings his own life’s worth of experience to bear on the problem, but each has very limited access to the whole. It’s easy to see how this story can be used to explain the pains of collaborative and cooperative group projects in which individuals focus on product design. Each person brings their own expertise to the table, hopefully contributing positively to the whole process. But this story is also a good metaphor for understanding problem solving in context of our very limited working memory capacity. Unlike elementary school math problems that we all calculated, real world problems are messy and don’t come with…