Tag Archives: behavior design
I’m filling in for Ernesto. I hope you enjoy this week’s list of articles and visualizations!
Don’t Relax: Uncomfortability Is The New Convenience by Adele Peters. This article looks at some products where a tolerable level of inconvenience is built into the design that prompts healthy actions or occasions for reflection.
Using Biometric Data to Make Simple Objects Come to Life by Liz Stinson. A whimsical project on display at Dublin Science Gallery’s Life Logging exhibition uses household objects to reflect and amplify the signals from your body.
The High Price of Precision Healthcare by Joseph Guinto. This is a fairly in-depth article on the relationship between drug and insurance companies and what happens when drug companies are given incentives for developing medicine for smaller populations. Not a breezy read by any means, but important for understanding the unintended consequences of changes made to the American healthcare system.
If Algorithms Know All, How Much Should Humans Help? by Steve Lohr. An exploration of a quandary that arises from machine learning methods. At what point do the automatic, self-learning processes mature to the point where any human intervention for correction is seen as injecting sullying “human bias.”
Networking the Coffee Maker by David Taylor. A fun, little project using an ElectricImp micro-controller to track when the office coffee pot was brewing. The author helpfully includes his code.
Using 750words.com and self-quantification by Morris Villarroel. Morris has been using 750words.com for the past three months and reflects on his previous attempts to use the service consistently and how he uses it now.
My brain on electricity: a 130 day tDCS experiment. This is a fascinating self-experiment where the author tries different tDCS montages while doing thirty minutes of dual n-back training.
My Path to Sobriety by ERAU. From Reddit, the poster shares the data from an effort to reduce one’s alcohol consumption.
From the Forum
Nir Eyal writes about “behavior engineering” encompassing user experience design, behavioral economics, and a dash of neuroscience. In this Show & Tell talk at the May 3, 2012 Silicon Valley QS meetup, Nir offers suggestions for behavior change design based on understanding the distinction between four different behavior types: amateur, skillful, habitual, and addictive. He advocates responding to each in an appropriate and unique way.