I’ve started a discussion (or I hoped I did) the other day — it was about LinkedIn algorithms for auto moderating. These algorithms don’t work well. As an example, I invoked a group discussion I’ve started in a group where I am a moderator that was moved to “jobs” because LinkedIn didn’t understand the content. The article I shared was on the psychology of criminal sentencing research. It had nothing to do with jobs. Then when I looked around, I found other articles that people shared that ended up under “promotions” and “jobs” tabs. Different groups have different purposes. Some groups are about sharing information — I welcome people sharing articles about relevant topics. Such groups become magazines, news papers for narrow subject areas and self-selected audiences. That is very useful. Sometimes, there are discussion around these articles, sometimes not. That’s okay — that’s the kind of group it might be. When groups start, they are a potentiality — something wonderful might happen…or might not. It takes at least 500 group members to start the group moving and propagating. (I did a bit of research on this a few years ago.) Before that number, it is a lot of work…
Mental Model Traps
Mental Model Traps result from an erroneous representation of how something works.
Anchoring Errors, Background Knowledge, Background Knowledge Errors, Causal Net Problems, Cognitive Blindness, Conceptual Design, Cultural Bias, Cultural Differences, Diagnostic Errors, Errors, Interaction Design, Mental Model Traps, Metaphor Mistakes, Mirroring Errors, Misapplication of Problem Solving Strategies, Perceptual Blindness, Perceptual Focus Errors, Pipsqueak Articles, Reference, Scaffolding
Review eBook: Affordances and Design
by Olga Werby •
Victor Kaptelinin, a Professor at the Department of Information Science and Media Studies, University of Bergen, Norway, and the Department of Informatics, Umeaa University, Sweden, just published an eBook with Interaction Design Foundation: “Affordances and Design.” I was asked to write a review of this book and provide some insights into using affordances in interaction design and HCI. Let me start by providing the definition of affordance as given by Donald Norman: In his eBook, Victor Kaptelinin provides the history of the idea of affordance from its initial introduction by James Gibson in 1977 to the present day. The eBook’s bibliography and reference section is a great place to start the exploration of this topic for anyone new to these ideas. Unfortunately, the book doesn’t help much if an individual is looking for some guidance on how to apply these ideas in practical situations during interaction design or HCI design. For clarity’s sake, allow me to give a very brief explanation of affordances, from their roots to the present time. When James Gibson first introduced the concept of affordances, he focused on physical environment — what actions are possible? And the set of these action were invariable — just because…
Anchoring Errors, Conceptual Design, Interaction Design, Interface Design, Mental Model Traps, Product Design Strategy
When Design and Interface are Dictated by the Technology
by Olga Werby •
You’ve probably heard: If you have a hammer, everything looks like a nail. This is a commentary on how our problem solving perspective is influenced by the tools we happen to have in our hands at that moment. The tools, of course, don’t have to be physical. They can be systems, or lists, or a set of approaches that we’ve learned at school or that are enforced at work. And they can also be digital tools that we feel particularly comfortable using. These “tools” constrict our metal models, limiting the possible solutions to the design problems we face at work (or at home). It’s not a surprise that if we Google “WordPress Templates,” all the results look more or less the same. This is partly because of the tool — WordPress is a great tool, but as any tool, it limits the final creative output to what is easy. (Especially, if the designer is not a programmer.) Here’s a look at Google Image results for “WordPress Screenshots”: What’s interesting is the flip side of this phenomenon. Once we see a lot of nails, we expect nails as the solution. So it is not a surprise that not only do most…
Background Knowledge, Cognitive Blindness, Cultural Bias, Cultural Differences, Ethnographic & User Data, Language, Mental Model Traps, Metaphor Mistakes, Pipsqueak Articles, Users
Language, Culture, and Communication
by Olga Werby •
Where we come from — our background culture: our country of origin and language, our heritage and religion (or lack thereof), our family, our education, our friends, and where we live — has an enormous impact on our ability to communicate. What’s more, when people from different cultural backgrounds try to interact with each other, these differences can cause catastrophic failures. Direct versus Indirect Communication Styles Consider the following set of remarks about doing homework: Do your homework! Can you start doing your homework? Would you mind starting your homework now? Let’s clean the table so you can start your homework. Do you need help with homework? It’s getting late, do you have a lot of homework? Didn’t you say you have a lot of homework? Johnny’s mom said that he has a lot of homework today… Do you have everything ready for school tomorrow? Look how late it is — it’s almost time for bed. You have school tomorrow. Each of the statements above represents a progressively less direct command to do homework. In my family, I usually pick number 2 to communicate my desires for finished homework to my sons (although number 1 is perfectly acceptable, to me).…
Anchoring Errors, Cognitive Blindness, Conceptual Design, Mental Model Traps, Misapplication of Problem Solving Strategies, Pipsqueak Articles, Product Design Strategy
Build It and They Will Come…NOT!
by Olga Werby •
There’s a common misconception — a folksy wisdom, a p-prim, if you will — that in our many years of product design led many entrepreneurs astray: Build it and they will come! Oh, if only it was so… While this is a wonderfully optimistic world-view, it just doesn’t work out that way in real world. So rather than just say it isn’t so, I will give a few examples where I was personally involved either in the design of the product or the workings of the company. Please keep in mind that all of these examples were EXTREMELY well-funded, had a lot of design resources, and ALL believed that they were changing the world for the better. NEXT We all remember NEXT, right? If not, let me jug your memory… After leaving (or being forced out of Apple), Steve Jobs started NEXT — a computer hardware company to rival Apple. Even with Jobs’ charisma, talent, deep financial resources, access to the best minds in the business… he couldn’t make this work. Some say that NEXT is now part of Mac DNA, but it still stands that as a company is was a failure… Steve built it, and no one ever…
Background Knowledge, Causal Net Problems, Diagnostic Errors, Language, Mental Model Traps, Misapplication of Problem Solving Strategies, Perceptual Focus Errors, Pipsqueak Articles, Scaffolding
Musings on Failure in School
by Olga Werby •
The Math Obstacle In the past few years, reports came out showing strong correlation between failing Algebra and graduation rates — if a kid fails math, he/she won’t be getting their high school diplomas. Here are a few articles describing the studies: “Is Removing Algebra a Key to Reform?” by Daniel Duerden, August 13, 2012 “A Comprehensive Study of the Predictors of High School Outcomes: Why Some Students Graduate on Time While Others Drop Out”. “A Correlation Study of Accuplacer Math and Algebra Scores and Math Remediation on the Retention and Success of Students in the Clinical Laboratory Technology Program at Milwaukee Area Technical College” by James Manto, August 2006. “Is high school tough enough: Full report” by The Center for Public Education. There are many more… Some suggested that based on evidence, we might just want to drop the math curriculum from high school graduation requirement — if there’s a strong correlation, perhaps by removing math, we might remove the problem and more kids graduate. Obviously, I don’t think that this a great solution. But I do come across the math problem a lot as part of the educational evaluations I do in my small practice. What I see…
Background Knowledge, Background Knowledge Errors, Ethnographic & User Data, Language, Mental Model Traps, Pipsqueak Articles
The Language Comprehension Continuum
by Olga Werby •
Below is an example of communication error — Penn and Teller use strong emotional language and delivery to hide the true meaning of the message. In context — a pretty young woman anxiously and passionately asking individuals at a faire to protect the environment — signing the petition makes sense. People sign many petitions. And the more people sign (or the more signatures they see on the petition), the more likely others sign as well. A woman, seemingly in distress over an environmental problem, inspires an emotional reaction — people want to help. We have a built-in social value system that encourages this kind of behavior. And finally there’s a strong p-prim that all chemicals are bad — so just hearing a chemical compound in a petition gets a response from the crowd. The result? On the language comprehension continuum, these faire goers didn’t do so well…