Tag Archives: BayAreaQS1

Ping’s Thesis – From Diary to Graph

Yesterday I wrote about the inaugural QS Show&Tell, where the very first show-and-teller, Ka-Ping Yee, stood up and explained that he had been tracking most of his activities over the last three years. (I didn’t want to use his name or link to his entry until I asked permission, which he quickly granted.) Below is a chart of a recent period.

thesis-timeline.pngThe orange is writing and the grey is sleep. (He was working on his dissertation at the time.) The large gap on the left hand side is when he went to burning man. Ping collects this data using a widget he wrote. There is a text box in the upper right hand side of screen, and he simply keeps a brief log of his activity. He writes a few words, and a time stamp is automatically added. Duration is calculated by subtracting the time one activity began from the time the subsequent activity began. He can edit the text, which allows him to note activity that takes place away from the computer; he just catches up on his list when he’s back. And by using some keywords – for instance, “fun” – in the text, he can easily write a script to graph the allocation of his time.

I liked this idea, because it permits Ping to log his actions in normal written language, but also allows him to gather data and graph it. No natural language processing AI needed!

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On September 10, 2008, twenty-eight people interested in collecting all kinds of data about themselves held the first QS Show&Tell in Pacifica, California. Even before the meeting started, it attracted some good-natured ridicule in the Washington Post. People tracking their most mundane activities? Why? It’s a reasonable question. One of the most interesting things I discovered at the QS Show&Tell is that even people who had wonderful graphs built from self-tracking data were wondering how to put this data to use.
Last night’s meeting began with Kevin Kelly asking us to say our name and five words that contained some information about ourselves. The words give a good sense of who was there. Here is a partial list:

software, math, chess, history, machine learning, athletic performance, language acquisition, cognition, sleep monitoring, unix, physics, design, radio, open-source health research, utopia, self-experimentation, lambda , graphics, usability, life-streaming, futurism, python, jazz piano.

People told me about tracking sleep, work, diet, location, weight, hormone levels, sex, attention, and many other things. I am going to be writing some accounts of these projects in the next few weeks. But for now I want to come back to why. The very first person to present, last night raised this question. He had a beautiful graph of his work, sleep, and other activity, based on data he had been tracking for three years. And he was at the meeting to get ideas about how to extract more meaning out of it.
Over the course of the night, I think he got some answers. The general consensus was that personal data has value as a basis for self-experiments. Aggregating this data can support new types of research. Sometimes the mere act of collecting the data helps lead to a better life through increased awareness. It can also be beautiful – a type of art. And at the end of the night Seth Roberts gave a brief account of how he uses his self-tracking data as a source of new ideas.
Still, I think if we’re to be honest, most of us will admit that the utility of self-tracking in achieving some specified goal doesn’t fully explain its fascination. There’s a compulsion, a curiosity, that seems to operate in advance of any particular use. This made me think about the early days of the personal computing revolution, when hobbyists bought themselves an Altair 8800 out of pure enthusiasm and then sat there asking themselves, “now what?” I’m glad they weren’t embarrassed to tinker. They enjoyed their curiosity, and used it to discover many new things.
The very first issue of Byte, published in September, 1975, tried to explain what the new, amateur-sized digital machines were good for. Note the large headline at the bottom of the cover. I take this is a very good reason.

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Quantified-Self Show-N-Tell

Next Wednesday, September 10, dedicated quantified selfers in the Bay Area will meet at my studio for the second Bay Area show and tell. For an explanation of “the quantified self” check my blog The Quantified Self.

In brief, the big idea is to use any measurement to bring about self-understanding and self-betterment. So we try out, modify, invent, collect, and recommend tools for self quantification. These include genetic sequencing, non-invasive body monitoring probes, automatic data gathering techniques, real-time medical diagnostics, and so on.

If you think you are part of this micro-niche movement, you are. We’ll be gathering at my studio in Pacifica to demo any tools we are using, to swap advice and tips, and to hear what others are doing. Interested folks should sign up via this Meetup link.

At the first QS show-n-tell, a member shows off a cheap location tracking device he cobbled together.


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