Category Archives: tools
There have been many studies since the emergence of mobile phones that have aimed to show the extents to which using our phones can distract the brain, as well as how they can be detrimental to the cognitive development of children, but just as there are these studies, there are also many developers who have aimed to turn mobile phones into tools that we can use to train our brains.
For the past several months I have been testing the CNS Tap Test, a mobile phone adaptation of the Finger Tap test often used by neuropsychologists and fitness professionals to measure the status of the central nervous system. The objective of this measurement experiment was to see if I could use this app to measure more objectively my physical and psychological health (I currently use subjective scales). The results were interesting but not sufficiently conclusive to include this test in my self-tracking inventory.
I recently purchased Tinké sensor, and have been using it for the past couple of weeks. The full review will be coming later (I still need to accumulate enough data), but so far I LOVE IT! My first impression is: it is extremely easy to use! Just plug the sensor into your mobile phone, launch the app and tap on the screen. It also provides a lot of interesting metrics, which I hope to use in my self-tracking experiments and projects. Here is a quick breakdown.
Talking 20 is a young biotechnology start-up in California that aims at making low-cost, at home blood tests that could be used to track twenty essential amino acids (hence the name). In October 2012, I responded to their call for support on Twitter and purchased “T20 Starter Pack” home kit for ten dollars. I paid 12 dollars (2 dollars to cover shipping), and a couple of weeks later received the kit, which I mailed back to them in December. After waiting patiently for ten months, I can finally share with you what I learned from my blood test. Drumroll, please…
In this post, I will discuss three invisible temporal patterns that are likely to be present in your self-tracking data and which, if ignored during analysis, may lead to erroneous conclusions and interpretations. I am talking about trends, social rhythms and intra-day variability.
The Quantified Summer project has finally come to an end last week, and I am currently working on the report that will summarize and present the findings. The actual data will also be made available for download on this blog, and of course, I will share the most interesting results in the future posts. In the meantime, let me explain briefly what exactly this project was about.
Just received my July report from Gmail Meter (check out my post about awesome hacks you can do with Gmail data). As you can see, I am not a big fan of long email responses.
In this post, I would like to share some preliminary findings of my attempts at quantifying and tracking everyday situational and environmental context. Specifically, I will explain how I have been logging everyday situations and environment, and will talk about some interesting patterns that I found in my data.
A while ago I blogged about my search for the best self-tracking tools (link to part 1; , link to part 2), and one of the apps that came up in the final was rTracker. I have been using it since then, and have become a huge fan. rTracker now is a central tool in my Measured Me experiment – an attempt to capture and express my everyday life numerically. I usually try to stay as neutral and unbiased as possible in my reviews, but in case of rTracker, my engagement has evolved from being an enthusiastic user to becoming a “brand advocate.” I thought it would be great to finally “meet” a genius behind such an amazing app, so a couple of weeks ago I contacted Dr. Robert Miller, founder of Realidata Ltd. and developer of rTracker. He kindly agreed to answer a couple of questions for Measured Me blog.
The pursuit of creativity and self-expression are among the personal values that influence my happiness. Unfortunately, most of the creativity tests that exist today require you to perform certain tasks (e.g., solve a problem, draw something, etc.), involve other people rating your performance, and thus are not suitable for everyday self-tracking. I needed something more simple and more general, so one of my Quantified Self challenges this year was to develop a method to measure and track my creativity on a regular basis. After several unsuccessful tests in January-February, I finally ended up with a 4-question measure that may have a great potential.