We’ve just heard from Camille Nicodemus about the sixth Auckland, New Zealand QS Show&Tell held on July 15, 2014 . Since Auckland is still getting off the ground they’re currently hosting about 6-8 people at the meetup, where they discuss their personal tracking projects in a open round-table format. They have been getting some recognition in their area as a camera crew filmed one of their previous meetups for an upcoming feature in a local current affairs TV program.
It’s great to see such a wonderful diversity of projects and experiments from the QS Aukland community. Members are actively engaged in citizen science projects, oxygen tracking, accountability groups, sleep tracking, tracking the effect of cold showers on metabolism, and habit tracking. The groups is also discussing a variety of tools and applications they’re using and exploring. These include:
- XY Leap - Exercise genomics
- Promethease- Literature retrieval system that builds a personal DNA report.
- Withings scale
- Cure Together (now part of 23 and me)
- Misfit Shine - Activity tracker.
- Lift App - Habit tracking
- MyFitnessPal - Diet and exercise tracking
If you’re in the Auckland area we invite you to join this great QS Meetup and share your story!
Tidings are notes, recaps, and insights from our wonderful worldwide network of QS Show&Tell meetup groups. If you’re organizing a group and have something to share let us know!
We’ve heard from our friend, and Pittsburg QS meetup co-organizer, Anne Wright, many times before. She’s a wonderful proponent of the power of self-tracking and using data, research, and continuous exploration to discover and learn about what is meaningful in your life. All of that passion stems from a personal experience with overcoming various health issues. In this talk, presented at the London QS meetup group, Anne talks about how self-tracking played the key role in helping her recover. Anne then goes on to make the case for using self-tracking to learn how to forge your own unique path towards understanding in a world built around the idea of what is normal.
At our 2014 Quantified Self Europe Conference, as with all our events, we sourced all of our content from the attendees. During the lead up were delighted to have some amazing interactions with attendees Alberto Frigo and Danielle Roberts, both of whom have been engaged with long-term tracking projects. This theme of “Tracking Over Time” was nicely rounded out by our longtime friend and New York QS meetup organizer, Steven Dean. Steven has been tracking himself off and on for almost two decades. In the talk below, Steven discusses what led him to self-tracking and how he’s come to internalize data and experiences in order to create his sense of self.
Quantified Sense of Self
by Steven Dean
Twenty years ago, I was in grad school getting an MFA. I was making a lot of objects that had very strong autobiographical component to it. Some I understood the source of. Many I did not. Continue reading
This week there are six QS meet ups planned all over the world. Follow the links below to learn more. You can also find the full list of the over 100 QS meet ups in the right sidebar. Don’t see one near you? Why not start your own!
Rio de Janeiro, Brazil
Looks like QS Rio has three great show&tell talks on tap for their meetup!
Los Angeles, California
Join QS LA members for an informal “Happy Hour” to talk about QS, new tools, and interesting projects you’re working on.
Austin QS meetup organizers, Mark and Laurie Frick are inviting the community to join them for evening of socializing and story sharing. They’ll also have a featured interview with Peter Zandan, “a Big-Data guru, investor and advisor to the Quantified-Self community. He’s noted for finding surprises in the data, and will curious to hear his take on self-tracking.” Sound like fun!
Our friends at the Berlin QS Meetup are having their 7th show&tell Thursday evening. From the description it sounds like a fascinating talk on sleep tracking is on the agenda.
Join the QS Indianapolis meetup group as they discuss experiences using the the popular productivity and computer use tracker, RescueTime.
As a long-time meditator, Peter Lewis had a suspicion that meditation could improve brain function, so he conducted a self-experiment and enlisted a few other individuals to help test his hypothesis. By using an arithmetic testing application, a timed meditation app, and an ABA research design he was find out that there was some support for meditation improving his brain function. However, other participant’s results weren’t as supportive. Watch Peter’s talk, presented at the 2013 Quantified Self Europe Conference, to learn more about his process and hear what he learned by conducting this experiment. We also invite you to read Peter’s excellent write up on Seth Robert’s blog: Journal of Personal Science: Effect of Meditation on Math Speed and the great statistical follow-up by our friend Gwern.
Today’s post comes to us from June Lee and Jennifer Kotler. June and Jennifer are researchers at Sesame Workshop, where they are conducting work exploring children’s media use. Below you can read their description of a breakout session they led on the topic at the 2014 Quantified Self Europe Conference. If you have ideas about measuring media use or want to continue this conversation we invite you to join the discussion in the forum.
Measuring with Muppets
by June Lee & Jennifer Kotler
The goal of the session was to exchange ideas for ways to measure and track children’s media use across contexts (which include physical spaces such as work vs. school, and social contexts such as with whom they are using media). An ideal device would be a wearable device that’s a “Shazam meets LENA,” which would identify the media content being used, as well as capture the conversation taking place around media use.
Currently, different technologies approximate what we would like to do. For instance, iBeacon is used in shopping malls to track and deliver messages to shoppers; smartwatches could be good for capturing audio; Bluetooth recognition could identify devices that are nearby and partly capture the social context. Different apps, however, don’t use the same system and are difficult to integrate. The main takeaway from the session is that nothing exists yet that does what we would like to do. We would need different apps and systems.
The session generated other useful ideas, such as the asking what parents would like to track in terms of media and their child, and what parents currently track (if they do). Another suggestion was to look at the rare disease or health care community, which is ahead of the curve in terms of tracking and managing child health; Human-Computer Interaction departments or Interaction Design departments at universities could be another good resource. Many agreed that we could start with simple, low-tech approaches: observations and/or manual paper recording. Or do the research in stages, using technology that does exist. In short, we needed to narrow our research questions because the tool we’re looking for does not (yet) exist.
Editor’s note: While doing some research around measurement and children we stumbled upon this great Sesame Street video. Enjoy Elmo singing about the power of measuring!
Our friend Sky Christopherson first spoke at a Bay Area QS meetup in 2012, when he unveiled an interesting discovery about sports performance, deep sleep, and room temperature, made while he was training for a cycling competition in which he set a new world record.
(You can watch Sky’s QS show&tell talk here: The Quantified Athlete.)
Sky’s experience led him on a new journey of helping other athletes us self-tracking and personal data to obtain their best performances, culminating in a surprise silver medal for the 2012 women’s olympic track cycling team, on which he served as a training advisor. In March of this year, Sky and his wife Tamara gave another QS talk in which they told the wonderful story of how the 2012 Olympic team rode to their medal, a journey captured in the documentary, Personal Gold.
Today’s post come to us from Lukasz Piwek. Lukasz is a behavioral science researcher at the Bristol Business School, University of West England. We were happy to welcome Lukasz, who led an well attended breakout session at the 2014 Quantified Self Europe Conference where conference attendees discussed current issues and new dimensions of behavior change. We encourage you to read his description below (which first appeared on his cyberjournal, Geek on Acid) and join the conversation in our forum.
The Future of Behavior Change
by Lukasz Piwek
I gave a short talk, and moderated a breakout discussion, on the future of behaviour change in the context of quantified self approach. It was an inspiring session for me so I summarised my slides here with the discussion that followed.
First, I highlighted that behaviour change interventions require multidisciplinary approach in order to target a broad range of behaviours related to health (e.g. healthy eating, alcohol & drug use, stress management), sustainability (e.g. travel habits change, energy saving, recycling) or education.
Health interventions are good example where behaviour change can enormously benefit from smart technology. Currently we have what we call a “sick care” model: when we notice a specific symptoms of illness we share it with our GP, and we get prescription, or we’re referred for more detailed diagnosis. This classic and dominant “sick care” model focuses on relatively passive way to manage illness “after” it occurs.
However, in the future we can envision ourselves being empowered by smart devices that track various variables in our daily life (such as heart rate, body temperature, activity levels, mood, diet). This variables will get combined in sophisticated analysis merged with our illness history and DNA screening. This continuously provides us with information about “risk factors” for illnesses, which enables us in turn to act and change our behaviour before the onset of a disease. This is what we call a real “preventive care” model of healthcare. Clearly we’re not there yet.
The key question we discussed was: “what critical features or solutions we are missing to make a breakthrough in behaviour change interventions with quantified self approach?” I started the discussion with giving two possible answers.
First, we lack long-term user engagement for smart wearables and self-tracking solutions. A recent study showed that 32% of users stop using wearables after 6 months, and 50% – after just over a year. Similarly, there is a high drop rate amongst smartphone apps users: 26% of apps being used only once and 74% of apps are not used more than 10 times (although discussion pointed out that we might not need long-term engagement for many interventions).
Second, existing devices for self-tracking lack data validity and reliability. Proprietary closed platforms and limited access APIs make it difficult for us scientists to validate how well self-tracking devices measure what they intend to measure. This is a major problem from the perspective of methodology for behaviour change interventions in clinical context.
In the discussion that followed my presentation, the major reoccurring theme was a lack of robust and reliable feedback provided to users/clients. We agreed that new model of feedback would incorporate such concepts as: narratives, actionable advices on specific consequences of behaviour, and personalised, rapid, relevant data visualisation.
Another problem highlighted was related to psychological resistance towards smart technologies in our lives, especially in the groups that are not motivated to use wearables/self-monitoring.
Finally, it seems clear that we’re currently focusing on “exploratory” side of quantified self, and its important we start moving towards more “explanatory” and predictive approach, like in the healthcare example described above. This requires a development of new methodology for n=1 research and creation of data bank of personal analytics. Such bank would enable better generalisation and evaluation of results for larger-scale interventions.
I’m totally on it.
If you’re interested in the intersection of Quantified Self and behavior change we invite you to join the conversation in our forum.
Debbie Chaves is a science and research librarian at Wilfred Laurier University and was interested in understanding her job and the various demands placed on her time. Using methods she’d employed previously she set about tracking different aspects of her work. The data she gathered allowed her to advocate for new changes and policies within her library. In this video, presented at the 2014 Quantified Self Europe Conference, Debbie explains her tracking, what she found, and what she was able to accomplish.