Quantified Summer: Everyday Life Data Stream

Please note that this dashboard uses Scalable Vector Graphics (SVG) which is not supported by some versions of Internet Explorer.

BEING WELL: capturing state of body, psyche and mind
The state of BODY is quantified using two metrics: health score and subjective physical energy. The health score is primarily symptoms-based (5= “no symptoms”, 4 = “ignorable symptoms”, 3 = “distracting symptoms”, 2 = “debilitating symptoms”, 1 = “illness/limited functionality”), and physical energy is measured using 10-points sliding scale (1 = “dead”.. 10= “super energetic”). Since I log physical energy 4 times a day (morning, afternoon, evening, and right before going to bed), I can also estimate how quickly i get tired throughout the day (“energy flow rate”), by fitting simple regression model and looking at the slope. Health and physical energy are logged using rTracker app .

The state of PSYCHE is quantified using stress and mood metrics. The stress is logged using 10-point sliding scale (1 = “no stress” .. 10 = “extreme stress”). Additionally, exposure to three types of stressors: intra-personal, inter-personal, and non-personal, is tracked using intensity scale (1= ‘no exposure .. 10 = “extreme exposure”). The two dimensions of mood, positivity and intensity, are logged using 10-point sliding scale. Logging mood 3 times a day also allows me tracking “mood swings” (measured as the variance of mood, afternoon and evening mood ratings). Both mood and stress are logged using rTracker app .

The state of MIND is quantified using alertness and executive functions metrics. The alertness is measured using psychomotor vigilance task (Mind Metrics app). The brain executive functions are measured using stroop effect test (Stroop Effect app).

Finally, the combined state of BODY, PSYCHE and MIND can be also quantified using sleep quality. It is computed as Deep+REM Sleep as % of total time in bed. The sleep efficiency is measured using Sleep Time app .

The QUALITY OF LIFE is quantified using happiness and life satisfaction metrics. The happiness is measured using a 10-point sliding scale (1=”Extremely Unhappy”, 10= “Extremely Happy”). The life satisfaction is measured as an average of responses to six questions that reflect six Ryff’s dimensions of well-being. All six questions are logged using a 10-point sliding scale. Both happiness and life satisfaction are logged using rTracker app .

LIVING WELL: capturing everyday living

The ACTIVE LIVING is quantified using calories burned and miles walked or biked. Active walking includes walking dogs, sports walking, and hiking. Miles and calories burned are measured using BodyMedia armband and RunKeeper app.

The HEALTHY EATING is quantified using caloric intake and and eating speed. The calories are logged using rTracker app . The eating speed is tracked using 80 Bites app .

The LIVING INTERESTINGLY is quantified using time spent on major activities and “flow” (level of engagement and concentration) of these activities. For the sake of simplicity, instead of individual activities, this dashboard shows major categories: creative (blogging, programming, writing a book), ventures (stock trading, consulting, business ventures), loved ones (family, partner, dogs), social (friends, professional and hobbies networking), and entertainment (TV, movies, reading, Broadway shows and other entertainment). The “flow” is measured using a 10-point sliding scale (1 =”not at all engaged”, 10 = “very engaged”). Both time and “flow” for all activities are logged using rTracker app .

The RECHARGING is quantified using time spent sleeping and meditating. The time slept is measured using Sleep Time app . The meditation is tracked using Equanimity app

The Quantified Summer project has launched on May 27 and will continue until September 4th. In addition to the metrics reported above, I am currently tracking dozens of other variables pertaining to various aspects of everyday life. I hope to publish a report and release data by the end of September. I will be also presenting some findings at the QS Conference in San Francisco in October.

6 Responses to Quantified Summer: Everyday Life Data Stream

  1. Куда Tag Cloud пропал? Там было слишком много имен собственных? 🙂

  2. Measured Me says:

    Tag Cloud не очень quantitative 🙂 Хочу попробовать что-то более продвинутое – Ищу программу для семантического анализа, хочу посмотреть на корреляции между семантическими индикаторами в моих записях и числовыми значениями настроения, и тп.

  3. Kim Buck says:

    Have you tracked how much time you spend tracking each day? I am interested if tracking precludes planning – at least I’d like to figure out how to switch from so much time tracking (which I really enjoy) to more planning time (which I think would improve my life). Thanks for sharing!!

  4. Measured Me says:

    Hello Kim!

    I use app called rTracker; at the end of each day part (early morning, late morning, afternoon and evening) I enter how much time I approximately spent on each of 16 activities, rounding up to nearest 15 minutes. It is very easy because most of the time it is only 1 or 2 activities. I just emailed you the screenshot of my log to the email address that you provided in this comment.

  5. Bruce Walthers says:

    Is there an application that can connect to the 4+ devices (or their websites) that I use to track things like sleep, calories etc. Right now I have 4+ devices, 5 websites, and 1 excel spreadsheet I use for my tracking. I would love to simplify that. So I guess I am looking for some type of automated data consolidation tool or app. Thanks, Bruce.

  6. Measured Me says:

    Hello Bruce,

    I personally use TicTrac (https://tictrac.com), but you can also try Fluxstream (http://flxtest.bodytrack.org/welcome) which is also a nice QS data aggregator.

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