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QS NYC Meetup Recap

This guest post comes to us from Konstantin Augemberg who covers many interesting Quantified Self topics and his personal tracking experience on the wonderful MeasuredMe blog.  

On Monday, September 30, Quantified NYC group has held its 23th meetup. The event was graciously hosted by Projective Space which offers collaborative community space to over 60 startups. With over a hundred people in attendance, interesting demos and inspiring presentations (quantifying Starcraft gaming skills, predicting choice of clothes based on weather forecast, and other self-quantified awesomeness!), it turned out to be a great evening. Here is my brief report on what I saw and loved:

We started with our Demos session during which QS entrepreneurs showcased their products and services:

  • David Joerg (@dsjoerg) presented his GGTracker, web service that uses advanced analytics to help Starcraft players to track their stats and quantify and improve gaming skills
  • Paula Murgia presented Personal Beasties app that helps people to cope with anxiety, fatigue and stress by using simple breathing exercises
  • Stefan Heeke (@Stefan_Heeke) showcased My Online Habits, a webapp that uses Gmail and Google data to help analyze your productivity and communications habits
  • Mike McDearmon (@Mike_McDearmon) demoed an awesome online dashboard that he built to visualize his outdoors activities.

Steven Dean (@sgdean) also introduced the audience to our new co-organizer, Amy Merrill. Amy will be in charge of QSXX NYC group that will be organizing meetups for women in NYC area.

The Show & Tell session was opened by Mette Dyhrberg (@mettedyhrberg) and her “The Pomodoro Recovery” presentation. Following the bouncing castle accident, Mette has been diagnosed with concussion and was recommended to rest and avoid using electronic devices in order to recover. She started tracking her symptoms, diet, and resting and working habits using Pomodoro method and Mymee app. The lack of progress has prompted her to look at her tracking data, after which she realized that she may have been misdiagnosed. The visit to another doctor has revealed that she sustained a neck injury, which luckily, could be fixed right on the spot. The treatment procedure helped her to feel better almost immediately. You can watch Mette’s presentation here.

In “Quantifying What to Wear”, Andrew Paulus (@andrewcpaulus) shared how he used self-tracking to measure impact of weather on his choice of clothes. It started when Andrew noticed that one of his morning habits included checking weather on his phone in order to decide what to wear on that day. That led to an idea to measure efficiency of this process, by tracking his choice of clothes and then assessing at the end of the day, if the choice was correct. His first attempt at quantifying weather and wardrobe was unsuccessful, due to some flaws in methodology and measurement (e.g., the weather data was collected at different times of the day; the clothes data was not very well structured). Andrew then has revised the methodology, by subscribing to more reliable and comprehensive weather data from Farmer’s Almanac, and logging wardrobe data in a more consistent manner. His girlfriend kindly agreed to co-participate in this experiment. After six months of tracking, Andrew looked at their data. He found that the overall, he tended to be slightly more accurate in choosing what to wear, compared to his girlfriend: his accuracy rate was 78%, vs. her rate of 74%. Another interesting finding was that his choices were more weather appropriate. The correlation between the clothes and weather was nearly 0.7 for him, and nearly 0 .1 for his girlfriend, which suggests that her choices are often influenced by many other factors, not just weather. You can see the full presentation here.

Amy Merrill (@amyjmerrill) shared her experiences with “Sleep Tracking with Jawbone Up”. Since April 2013, she has been tracking her sleep (deep sleep phase, in particular) using Jawbone Up, as well as social and work related activities using Google Calendar. By analyzing the patterns in her data, she was able to see how certain activities affect her deep sleep. In particular, she learned that more physical activity and sleep deprivation led to more deep sleep, where as restful days tend to result in more light sleep. Certain social activities like attending wedding and taking trips on tour bus have also had a considerable impact on quality of her sleep. For the next phase, she plans to include some aspects of the diet, including consumption of alcohol, caffeine and over-the-counter drugs. You can watch Amy’s presentation here.

The session was concluded by Andrew Tarvin’s (@HumorThatWorks) funny and inspiring presentation “The Perfect Day”, in which he discussed the tracking system that he used to build some new habits. Andre has been rating each day based on the number of goals that he achieved (e.g., waking up without snoozing the alarm, do something active for 20+ minutes, eat at least 4 fruites a day, etc.) The days with at least 3 goals met were defined as “quality days”, and the days with all 5 goals accomplished were rated as “perfect”. Andre learned that the strive for perfection was the most demotivating factor: missing one goal earlier in the day often resulted in giving up on all other habits as well. Waking up without snoozing was the most influential habit in that regard. He also learned that the “streaks” of quality and perfect days was the most motivational factor; once he had several consecutive successful days in a row, it was much easier to continue meeting the goals. Andre has been using this system for three years, and plans to continue using it to acquire new habits. You can read more about his system on his site. You can watch video of the presentation here.

As always, before and after the sessions, I had a chance to mingle and meet a lot of interesting people. Special shout out to Stefan Heeke, Mike McDearmon, Sylvia Heisel, Michael Moore and Dave Comeau.

 

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David Sweet on Fist-Sized Volume and Weight Control

It seems that food tracking can have an enormous impact on weight loss and weight control, but counting calories can be difficult. David Sweet was looking to lose weight and wanted to use a system that kept him engaged for a long period of time. He devised a unique system to track his food – the Fist-Sized Volume. Watch this interesting talk, filmed at the New York QS Meetup, to learn how he did it and what he learned (stick around for the great Q&A).

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Robert Carlsen on Tracking Weight

“I was starting to feel a little bit out of control.”

Robert Carlsen used to be an amateur bike racer. When he moved to New York and stopped racing he found that his weight was slowly creeping up. He was still leading an active lifestyle, but he soon realized that most of daily food choices were the result of guess work. In this video, filmed at the New York City QS Meetup, Robert explains how he used different apps and tools to track his caloric inputs and outputs in order to move towards his goal weight.

Tools:
Body Weight Simulator
Lose It!
Runkeeper
Strava
MobileLogger
Withings Scale + App
Nike Fuelband

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Doug Kanter on Data, Diabetes, and Marathon Training

Doug Kanter has been a Type 1 diabetic for 26 years. Through this time he’s come to learn more about his disease by using many data-gathering tools and his own work in visual analysis at the NYU ITP program. We’ve featured Doug’s compelling work here on the blog before and we were excited to hear him talk at the NY QS Meetup about his new project to understand how marathon training and running effect his blood sugar and insulin treatment.

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Self Expression From Performance Data

rwl_sketch_1screen-shot-2012-10-15-at-3-00-43-pm

Typically when we think about Quantified Self and the associated collection and visualization of personal data we’re left struggling in the world of charts, graphs, and other well-worn visualizations. That’s not to disparage those of you who love spending some time tinkering in Excel. Those are valuable tools for understanding and there is a good reason we rely on them to tell us the stories of our data. It’s important to realize that those stories rooted in data aren’t always just about finding trends, searching for correlations, or teasing out significant changes. Sometimes data can represent something more visceral and organic – the expression of a unique experience.

Vincent Boyce is a an artist and designer who spends his free time riding on asphalt and water. Those experiences on his longboard and surfboard led him to starting thinking about how his rides, his performances, could be used as inputs for generating art and “exposing the hidden narrative.” After some tinkering with hardware and software Rideware Labs was born. Vincent has designed and built a prototype sensor pack and custom interface that ingests data from his riding and outputs unique visual representations. As you can see above, these aren’t your typical bar charts.

In his great talk filmed at the New York QS Meetup Vincent describes his motivation behind building his prototype system and his goals for future versions.

This is a great first step in turning data rooted in performance into artistic representations of self-expression. What do you think? What kind of data would you like to see hanging on your wall as works of art? Let us know in the comments!

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The New York QS Meetup Survey

Today’s post comes to us from Andrew Paulus, a member of the New York QS Meetup group.

QS Meetups are a great time to see demos, hear interesting show & tells, and talk to a few people after. With hundreds of members just in the local New York group it is impossible to meet everyone and hear about why they started tracking, get their thoughts on QS, or find out what tools/apps are popular. Consequently I created a survey to answer these questions and sent it out to the NY group. We received 102 responses that helped to paint a picture of who we are as a community. Many of my assumptions were confirmed, but there were also a few surprises. Let’s dig into the data!

Demographics & Basics

Age distribution: mean = 36.2 years old, youngest = 23 years old, oldest = 74 years old
Gender distribution: 67% male / 33% female
Currently working in a QS related company or have created a QS tool: 30%
Members who have a chronic health issue: 70%

Reflecting on the heavy male slant in the respondents made me wonder if there has been enough attention given to how QS tools could specifically help women. In the entire survey I neglected to mention any QS tools that are female-specific (such as pregnancy or menstrual cycle trackers), which is surely an area where self-tracking might play a prominent role.

We started by asking how many people self-track and what prompted them to start tracking. Ninety respondents, 94% of the sample, were actively engaged in a self-tracking practice. When we asked why individuals started self-tracking we found that in our sample the majority were interested in “understanding myself” or just plain curious. Given the common connection between QS practices and health we found it very interesting that health ranked fourth, tied with “work in the field or would like to start a business in the field.”

QSTOOLS_NYCWhat Tools Are You Using?

The top 10 most used tools were: Mint, Personal GoogleDoc/spreadsheet, Other, Foursquare, 23andMe, Fitbit, Runkeeper, Zeo, MyFitnessPal, and Goodreads with the Nike+ Fuelband and Lift just missing the top 10. Clearly personal tracking solutions are still prominent QS tools. I was surprised that over 20% of respondents had taken part in genome indexing through 23andMe, I didn’t realize how prominent this was in the QS community. (Click the image to see the breakdown of tools.)

Data Sharing & Privacy

Privacy is still important. Only 49% of respondents share their data with anyone and only 27% of respondents said they were ‘vey open’ to sharing their data with others.

Share data with someone else: 51%
Share data with a spouse/partner: 39%
Share data with a health professional: 14%

QS Tool Design Considerations

Over 60% of respondents said that the ability to export the data was important. Many of the major tools currently on the market do not allow you to easily export your data and you have to wonder if consumer pressure will finally get them to open up this data to the users. This also brings up two other points: first, whether there will be a standardization of data metrics across different platforms, and second, will there be a dominant platform or many smaller platforms that allow you to aggregate your data and help you derive meaning from the large amounts of data collected with various tools. (Editors note: Please see Gary’s wonderful post about “The QS World I’d Like to Live In“)

QSTOOLS_DESIGN_NYC

 

Thanks Andrew for putting out that survey and sending us the results. If you’re interested in more data from this survey you can view the full results and Andrew’s notes here.

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New York QS Show and Tell #18 Recap

We had a great turnout at our last meetup in New York hosted at startup accelerator program Blueprint Health in Soho. Thank you to my co-organizers, Patrick Whitaker and Andrew Paulus , who helped pull together this recap. And thank you to the rest of my co-organizers Brian Gallegos, Mark Brooks and Konstantin Augemberg for helping out with another fascinating evening of demo and show&tell talks.

Demo Hour
Our latest demo hour included five presenters with concepts ranging from behavior change to respiratory training. QS attendees mingled around tables and engaged in interactive discussions with five demonstrators, who had come to present some interesting and diverse initiatives.

Susan Alexander from app4Mind presented a mental model she created for behavior modification. Susan was inspired by her own experience, those of others, and the world’s wealth of research on change, growth, and how to change behavior. The model distills all of this down to four memorable principles, each word beginning with the letter M. Together, they serve as a “mind app” which she presented in illustrated form. Susan is planning to launch a new website by year’s end to serve as a platform for app4Mind.

Matt Stanfield demonstrated BagIQ, a platform he is developing to give people product-level purchase data and insight into spending habits. BagIQ renders detailed product-by-product, dollar-by-dollar analysis, and presents them in simple, digestible ways. The power is in taking that product level data and connecting it to personally relevant 3rd party data specific to each user’s health, diet, ethics, shopping. Matt’s demo culminated with sweeping discussions about potential applications and insights that could be derived from the data and it will be interesting to see how BagIQ develops.

Melody Wilding presented eCaring, a care management system that seeks to generate comprehensive, real-time behavioral & clinical data from a patient’s home. eCaring was developed to enable hospitals, healthcare providers & families to track & respond to conditions, making early intervention possible, reducing hospital readmissions, lowering care costs, & improving care quality for seniors & people with chronic conditions. eCaring currently has several programs underway with hospitals & for long term care management.

Anthony Ina demonstrated a prototype of HealthBoard, which was developed to allow active duty military personnel the ability to interact with their own personal health information and electronic medical records, and to offer healthcare providers better access to patients and their decisions. By integrating information design principles, HealthBoard seeks provides users with enhanced and streamlined access to information, making it less intimidating and easier to understand the impacts of decisions on health outcomes.

Bez Arkush demonstrated a device that can measure inspiratory and expiratory breathing. Different resistance levels support breathing measurements and exercises to be used in respiratory therapy and respiratory sport training. The device connects with iPads and creates a game-like environment while keeping track of your activity.

Show&Tell Talks

Following demo hour, we had six show&tell talks on guitar playing, lucid dreaming, salt sensitivity, exercise, headaches and the unconscious.

Exploring the Sleep Frontier – Lucid Dreaming with the Zeo
The evening started with Dave Comeau, a lucid dreaming enthusiast who described his experiments hacking the Zeo to help trigger lucid dreams. Although Dave had been experimenting with lucid dreaming for many years, the launch of the Zeo Sleep Manager gave him fresh insight into his sleeping patterns, specifically about when he entered the REM sleep states most conducive to lucid dreaming. Dave introduced resources like Zeoscope and Sleep Stream Online and told of his experiments using the Zeo extensions to trigger visual and auditory cues with hopes of inducing lucid dreaming, although they often backfired by waking him up. Following the presentation, there was an interactive Q&A in which the potential of other sensory cues was discussed (e.g. olfactory or gustatory cues like using X10 to trigger a Glade PlugIn). When asked what drew him to lucid dreaming, Dave said “I don’t know what the benefits of those are — except being awesome!”

Exercise and Consumption
The next talk was by Emily Chambliss, who had completed several months of tracking her consumption and exercise in a comprehensive, color-coded spreadsheet. When asked about the motivation behind this effort, Emily noted that she didn’t trust her own perceptions, which is why she needed to start tracking. Informed by her nutrition and activity tracking, Emily was able to strategize, set goals, and implement greater levels of self discipline into her daily life. Over time she learned that her behavior was surprisingly predictable, and clear insights emerged about her self-described “lack of discipline on weekends.” In response to audience questions about the scope and challenges of her tracking project, Emily clarified that she tracked “everything — including booze, which was painful” and was quick to note that “a shot of whiskey has 64 Calories, according to most sources.”

Salt Sensitivity
Midway through the evening, we heard from Greg Pomerantz on a self experiment he had conducted on salt sensitivity. Greg noted that health authorities generally recommend salt restriction, which is controversial since people have varying levels of sensitivity to salt that cannot be addressed by blanket advice. Greg raised one of the challenges that “you need IRB approval when you do experiments on humans — except, you know, when you do it on yourself.” Thus empowered with the administrative freedom of n=1 self-experimentation, Greg weighed himself every morning and deliberately varied his salt intake through three phases over a period of several weeks. Although Greg had conceived this experiment since his blood pressure was at the higher end of the normal range, he was surprised by his findings that he was not particularly sensitive to salt, and moreover that the only adverse consequences he experienced (e.g., impair thermoregulation) seemed to be caused by insufficient salt consumption. Since his experiment, Greg has made a point to add more salt to his meals to ensure sufficient levels of consumption. When asked if he had talked to his primary care physician about this, Greg smiled and said, “not yet, but I’m sure he would be interested.”

200 Hours of Guitar Practice in a Year
Jake Jenkins had always wanted to play the guitar, and he told an impressive story of pursuing this goal with the help of commitment devices and Beeminder. Based on his prior experiences learning kite surfing, indoor rock climbing, and downhill skiing, Jake estimated he would need to spend 400 hours deliberately practicing the guitar to be “good enough” and set a goal of practicing for 35 minutes every day for two years. After mixed results and missed practice sessions at the beginning, Jake grew interested in commitment devices and discovered the website Beeminder.com, which helped hold him accountable on a daily basis and achieve remarkable consistency with his guitar practice. Although Jake said at the outset that “[he] would classify[himself] as without rhythm,” he has been continuously improving through one year and 200 hours of guitar practice, which is evident by the videos he posts on YouTube every few months to show himself playing. Although Jake found self-tracking to be a powerful motivator, he learned that it isn’t always enough and can sometimes use the assistance of external commitment devices to stay on track. Jake’s talk was a compelling example of using QS concepts to motivate and manage his efforts to develop a challenging new skill.

Figuring out a Headache’s Source
The next presenter was Michael Wenger, who implemented a series of lifestyle experiments in response to some startlingly vague advice from a doctor. Prompted by chronic headaches, Michael had undergone an MRI which revealed a benign brain tumor. Extreme risks ruled out surgery as a viable option, so a physical simply recommended that Michael “make some lifestyle changes” to try to reduce the frequency and intensity of his headaches. With this sudden burst of motivation, Michael made some critical lifestyle changes including easing the pressure of academic overachieving by electing some pass/fail courses, improving his sleeping habits and eliminating all consumption of alcohol. Michael used various mobile apps to track relevant activities, and over the short term, Michael learned that the best remedy for an excruciating headache was “driving a car with the windows down while having a milkshake.” More importantly, Michael learned that “you can fix things” over the long term by tracking relevant measure to increase awareness of lifestyle choices and making changes to improve your condition.

Storyboarding the Psyche
The final talk of the night was delivered by Cliff Atkinson, who started with the question of “how do you quantify the unconscious?” Interested in exploring such tendencies as procrastination in the context of knowledge about the unconscious developed by the early psychoanalysts, Cliff took a remarkably visual approach to his self tracking by tracking his body, emotions, and thinking through the creative use of iPhone apps, including Insight Timer and Penultimate. By importing clip art in the shape of a body and a head, Cliff created a template where he would visually annotate his feelings and observations each day, and he could zoom out in Penultimate to see many days at once and reflect on the visual storyboard of his tracking activities over time.

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Cristian Monterroza: My Autobiography Through Quantification

Cristian Monterroza felt like his life was slipping in a direction that he didn’t like, and was inspired to start tracking by the amazing lifelogging project of artist On Kawara. Cristian started out using several different apps, then created his own app to passively record his daily activities, called wrkstrm. In the video below, Cristian shares the insights he gained from six months of building a self-tracking autobiography, and asks us to consider if we are recording the right things. (Filmed by the New York QS meetup group.)

Christian Monterroza – Autobiography Through Quantification from Steven Dean on Vimeo.

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Sharla Sava on Shooting Herself: 365 Days of Self-Portraits

Sharla Sava decided to take a daily picture of herself for a year, without missing a day. She was inspired by this Flickr self-portrait group. While it was a surprisingly grueling commitment, Sharla learned that self-portraits can be an outlet for public dialog, a powerful mirror, and a creative way to explore the expression of different states of mind. Watch her fascinating story below. (Filmed by the New York QS meetup group.)

Sharla Sava – I Shot Myself: 365 Days of Self-Portraits from Steven Dean on Vimeo.

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New York QS Show&Tell #17 Recap

At our last meetup in New York, we had a packed house at NYU’s ITP, one of our great supporters of QS here in NY. Thank you to my co-organizers, Ben Ahrens and Brian Gallegos, who helped pull together this recap for the blog.

DEMO HOUR

Brad Hammonds and Stan Berkow gave a large-scale, real time demonstration of their web app StudyCure – an online platform that allows its users to create and run interactive experiments geared toward understanding their health in the best possible way. Each experiment is set up in an if…then… fashion (eg. IF I focus on breathing during the day, THEN I will be less stressed). This keeps experiments clean and simple and helps participants make meaningful use of their data that leads to positive change. StudyCure will eventually be able to compare your data with a range of population norms within a given experiment, giving you the ability to benchmark your results against the larger community.

Lead by Lisa and Dr. Mike Gerstenfeld, MD, along with their team of developers, Cloud2Health solves the problem of decentralized and disconnected health data from health & fitness apps and medical records. It does this by providing its customers with one centralized site which serves as “a single source of truth.” In an age of ever-increasing data streams, wouldn’t that be nice? A video presentation was given in a private demo room and projected on the wall while QS experts and enthusiasts crowded around. View their comprehensive video demonstration on the site!

Back in the main demo room, Kuan Huang and partners gave QS members a trial run on Feelytics.me – their iPhone app that allows you to log your ever changing emotional state and associate with your peers based on how they are feeling. The app is characterized by cute and expressive faces ascribed to each emotion and the ability to connect with others, centered on the feelings the faces portray.

Another and very different emotional state tracking platform was being demonstrated across the table by Dan Bretl. Emotish allows you to take a photo of yourself in a particular state (e.g., blissful, serene, calm, excited, etc.) and tag it accordingly. These labels then function a lot like hash tags on twitter and allow you to filter and search for photos of other users in a particular mood or mind state. This app offers a lot of potential and creative leeway for it’s users to search, follow, filter, crowd-source, and of course track their own patterns of emotional change as depicted by a photo journal.

Smart Diaper – this demo was just as cool as it is practical – one of those, “why didn’t I think of that” product ideas. Conceived and created by Yaroslav Fabishenko while taking a 4-hour car ride with his two kids in the back, the Smart Diaper harbors an embedded urinalysis patch that measures ketone bodies, ph balance, presence of certain proteins, and a host of other useful information for keeping on top of your babies health every time they… do their business. The diaper is linked with a phone app that lets you snap a picture of the test patch for the data to be logged and analyzed. Based on the analysis, parents may then, for instance, receive a message suggesting that their child be sent for a checkup or even a particular screening.

SHOW&TELL TALKS

Following the demo hour, we had four inspiring show&tell talks.

Autobiography Through Quantification

Christian Monterroza was inspired by On Kawara, an artist that self tracked each day of the year through paintings and newspaper headlines. He wanted to do something similar with his life and asked himself the question, “How can I know if what I’m doing is wrong if I never track what I do?” So he started a regimen of tracking. He found himself using several tools but soon became fed up and created his own tool. He used On Kawara’s work as an example of changing the power of a simple time stamp. He started calling his own self tracking time stamps “self portraits.”

His tracking consisted of sending postcards to friends of the city he was in and recorded everywhere he went in that city. He took this concept and gave it a name, Wrkstrm. To help with this, he built a tool that did the monitoring for him. It’s an application on his phone that automatically tags when he’s in certain regions.

Christian gained a lot of value from his tracking. He learned that it’s not all about numbers. It’s about the perspectives his experiences provided. He learned that sometimes we record the wrong things. For example, we spend a lot of time tracking obvious moments but serendipitous moments are getting lost. He also learned that passive tracking is better than active tracking and that gamification doesn’t really help. In the end, he succeeded in optimizing his day.

I Shot Myself: 365 Days of Self-Portraits

Next up was Sharla Sava with her photo project. Her project was to take a photo every day. But the rules were that a) she could never miss a day and b) she had to appear somewhere in the photo. She added the photos to a group pool on Flickr and collected feedback from the members. She found that having an immediate and responsive audience is addictive. She wondered if her self portraits were just for her and not really for anyone else. But she learned that self portraits, while not very practical, are also not trivial. They can be a site for public dialog.

For example, she explored how the body functions in journalism to send a message. She discovered how certain gestures communicating different messages based on the reactions from the Flickr group. She began to explore and capture a state of mind that’s difficult to convey.

While self portraits may not be meaningless, a question she set out to answer is how do we quantify the meaning? She found that the numbers are related to external factors. For example, Flickr tracks views, etc. She was able to draw conclusions from this data, but it didn’t really allow her to measure meaning. This project ultimately taught her something meaningful about her connection to the world.

Audio Jack Sensor Hack

This was Joel Murphy’s second time presenting at QS New York and this time, along with Leif Percifield, they showed everyone a project to find a better way of getting sensor data into a smart phone or tablet. The basis for their project is that once the data is in there, you can do anything with it. But getting the data into these devices is sometimes difficult. In fact, it’s fairly easy if you have a large processor, but an 8bit processor like the Arduino doesn’t work very well.

Their goal is to create a cheap way to develop hardware that gets data to a phone or tablet easily. So they figured out a way to essentially turn speaker outputs into digital outputs (analog waves to digital). They created a mini-IDE on the phone where you can type in calculations and mine the raw data.

Joel and Lief are hardware hackers trying to get more powerful data transfer from sensors and other devices in a cheaper way. In the end, they showed a quick and dirty etch-a-sketch that displayed the power of their new device. Joel’s notes from the talk are at Phone Jack Hack.

Spaced Repetition: A Cognitive QS Method for Knowledge Acquisition

The final presenter of the night was another veteran of the Quantified Self circuit, Roger Craig. Roger presented on the concept of spaced repetition. Spaced repetition is not about how fast we learn, but how fast we forget. Roger described how Hermann Ebbinghaus, a quantified self pioneer, spent decades of time on memory experiments with himself and discovered what he called the “forgetting curve.” The forgetting curve says that when you remember something, you will forget it, but the decay gets flatter and flatter the more often you are exposed to it.

In the 1930′s, Cecil Mace developed the concept of spaced repetition. With this, you take the forgetting curve and create essentially an algorithm to ping yourself with a piece of information you’d like to remember. You then optimize this process of review. So some information is reviewed more frequently when you first learn it, but then it’s refreshed less often later on as you are able to show fast recall. The advantage of this process is that you learn where to ‘aim’ your learning based on the speed at which you can recall.

Roger has tried many applications to practice spaced repetition and currently uses Anki. He learned that it’s a great way for self trackers to optimize learning.

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