Category Archives: personal data
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.
As promised, posting today the slides of my “100 Days of Summer” talk that I presented at the 2013 Quantified Self conference in San Francisco last Thursday (October 10). In this presentation, I shared most important and interesting results of the first phase of Measured Me project.
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.
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.
My Quantified Summer lifestream is now up! I plan to update it every 7-10 days. Check it out here or by clicking MY LIFESTREAM on the main menu of my blog.
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 March is almost over, so I thought it is a good time to tell what kind of things I am have been tracking and what self-experiments I have been conducting this month. As usual, at the end of the month I will export data from my rTracker log , analyze it and will share any interesting insights and findings with you.
If you have not noticed yet, the “modus operandi” for this blog and my self-tracking efforts is a bit different this year. The month of January was spent collecting data, testing apps and services, and blogging about various QS issues, and month of February was dedicated to analyzing collected data, reviewing tools, and sharing insights and recommendations. So I thought it would be helpful if I summarized briefly what I learned during the last two month, in one post.
As promised, posting the full Power Point slides of my “Hacking Happiness” presentation from NY Quantified Self meetup. In this self-tracking experiment, I looked at how different aspects of well-being, personal values and everyday activities predict my happiness.