Topic Archives: Videos
We’re always interested in the way individuals with chronic conditions use self-tracking to better understand themselves. A great example of this is our good friend, Sara Riggare. Sara has Parkinson’s Disease and we’ve featured some of her amazing self-tracking work here before. At the 2014 Quantified Self Conference, Sara gave a short talk on what she feels is her most troublesome symptom: freezing of gait. In this talk, she explains why it’s such a big part of her daily life and how she’s using new tools and techniques to track and improve her gait.
Vanessa Sabino was curious about how well she was sleeping. By using the Sleep as Android app, she was able to track a year of sleep data. Before she was able to dig into the data she ran into a problem with the data export format and had to write her own custom data parser to create usable CSV files. Vanessa was then able to use the data to explore her question, “When do I get the most amount of deep sleep?” In this talk, presented at the Toronto QS meetup group, Vanessa explains her process and what she learned from analyzing 340 days of sleep data.
Paul LaFontaine was interested in understanding his anxiety and negative emotional states. What was causing them? When were they happening? What could he do to combat them? Using TapLog, a simple Android-based tracking app (with easy data export), Paul tracked these mental events for six months as well as the triggers associated with each one. In this talk, presented at the 2014 Quantified Self Europe Conference, Paul dives deep in to the data to show how he was able to learn how different triggers were related to his anxiety and stress. While exploring his data, he also discovered a few surprising and profound insights. Watch his great talk below to learn more!
Jenny Tillotson is a researcher and fashion designer who is currently exploring how scent plays a role in emotion and psychological states. As someone living with bipolar disorder, she’s been acutely aware of what affects her own emotions states and has been exploring different methods to track them. In this talk, presented at the 2014 Quantified Self Europe Conference, Jenny discusses her new project, Sensory Fashion, that uses wearable tracking technology and scent and sensory science to improve wellbeing. Be sure to read her description below when you finish watching her excellent talk.
You can also view the slides here.
What did you do?
I established a new QS project called ‘SENSORY FASHION’, funded by a Winston Churchill Fellowship that combines biology with wearable technology to benefit people with chronic mental health conditions. This allowed me to travel to the USA and meet leading psychiatrists, psychologists and mindfulness experts and find new ways to build monitoring tools that SENSE and balance the physiological, psychological and emotional states through the sense of smell. My objective was to manage stress and sleep disturbance using olfactory diagnostic biosensing tools and micro delivery systems that dispense aromas on-demand. The purpose was to tap into the limbic system (the emotional centre of our brain) with aromas that reduce sleep and stress triggers and therefore prevent a major relapse for people like myself who live with bipolar disorder on a day to day basis. I designed my own personalized mood-enhancing ‘aroma rainbow’ that dispenses a spectrum of wellbeing fragrances to complement orthodox medication regimes such as taking mood stabilizers.
How did you do it?
Initially by experimenting with different evidence-based essential oils with accessible clinical data, such as inhaling lavender to aid relaxation and help sleep, sweet orange to reduce anxiety and peppermint to stimulate the brain. I developed a technology platform called ‘eScent’ which is a wearable device that distributes scent directly into the immediate vicinity of the wearer upon a biometric sensed stimuli (body odor, ECG, cognitive response, skin conductivity etc). The scent forms a localized and personalized ‘scent bubble’ around the user which is unique to the invention, creating real-time biofeedback scent interventions. The result promotes sleep hygiene and can treat a range of mood disorders with counter-active calming aromas when high stress levels reach a pre-set threshold.
What did you learn?
I learnt it is possible to track emotional states through body smells, for example by detecting scent signals that are specific to individual humans. In my case this was body odor caused by chronic social anxiety from increased cortisol levels found in sweat and this could be treated with anxiolytic aromas such as sweet orange that create an immediate calming effect. In addition, building olfactory tools can boost self-confidence and communication skills, or identify ‘prodromal symptoms’ in mood disorders; they learn your typical patterns and act as a warning signal by monitoring minor cognitive shifts before the bigger shifts appear. This can easily be integrated into ‘Sensory Fashion’ and jewelry in a ‘de-stigmatizing’ manner, giving the user the prospect of attempting to offer them some further control of their emotional state through smell, whether by conscious control or bio-feedback. The next step is to miniaturize the eScent technology and further explore the untapped research data on the science of body (emotional) odor.
Natty Hoffman was interested in learning more about how she spent her money. Not satisfied with just categorizing expenses, she dove deeper into two years of transaction data to understand where here money was going and how well her spending habits reflected her ideals. In this talk, presented at the Boston QS Meetup group, Natty explains how she examined her spending data to see if she was supporting ethical, healthy, and local businesses.
Stefan Hoevenaar’s father had Type 1 Diabetes. As a chemist, he was already quite meticulous about using data and those habits informed how he tracked and made sense of his blood sugar and insulin data. In this talk, presented at the 2014 Quantified Self Europe Conference, Stefan describes how his father kept notes and hand-drawn graphs in order to understand himself and his disease.
Memory, cognition, and learning are of high interest here at QS Labs. Ever since Gary Wolf published his seminal piece on SuperMemo, and it’s founder Piotr Wozniak, in 2008, we’ve been delighted to see how people are using space repetition software. Our friend and colleague, Steven Jonas, has been using SuperMemo since he read Gary’s article and slowly transition to daily use in 2010. Steven has been quite active in sharing how he’s used it to track his different memorization and learning projects with his local Portland QS meeup group. At the 2014 Quantified Self Europe Conference, Steven introduced a new project he’s working on, memorizing his daybook – a daily log he keeps of interesting things that happened during the day. Watch his fascinating talk below to hear him explain how he’s attempting to recall every day of this life. If you’re interested in learning more about spaced repetition we suggest this excellent primer by Gary.
You can also download the slides here.
What did you do?
I used a spaced repetition system to help me remember when an entry in my daybook occurred.
How did you do it?
Using Supermemo, I created a flashcard each morning. On the question side, I typed what I did the previous day. On the answer side, I typed down the date. SuperMemo would then schedule the review of these cards. I also played around with adding pictures and short videos from that day to the card, as well.
What did you learn?
First, that this seems to work. I’ve built up a mental map of my experiences, unlike anything I’ve ever experienced. I also learned that I hardly ever remember the actual date for a card. Instead, it’s a logic puzzle, where I can recall certain details such as, “It was on a Saturday, and it was in October, the week before Halloween. And Halloween was on a Thursday that year.” From there, I can deduce the most likely day that it occurred. I’m also learning which details are most helpful for placing a memory. Experiences involving other people and different places are very memorable. Noting that I started doing something, like “I started tracking my weight”, are not memorable.
As much as we talk about self-tracking being about health or fitness. . . I think it’s about identity. I think it’s about us. It’s about seeing something meaningful in who we are.
Laurie Frick is a self-tracker and visual artist. It this unique combination that has led her down a path of learning about herself while using the data she collects to inform her artistic work. What started with time and sleep tracking rapidly expanded to included other types of data. In this short talk, presented at the 2014 Quantified Self Europe Conference, Laurie explains how her past experiences have informed her new way of thinking about data, “Don’t hide. Get more.”
If you’re interested in Laurie’s artistic work I highly recommend spending some time browsing the gallery on her website.
We’ve heard from our friend, and Pittsburgh 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