Tag Archives: disney

What We Are Reading

Articles
LifeLogging: Personal Big Data by Cathal Gurrin, Alan Smeaton, and Aiden Doherty. A wonderful overview of the field of lifelogging. Special attention is given to how information retrieval plays a role in how we can understand and use our lifelogs.

What happens when patients know more than their doctors? Experiences of health interactions after diabetes patient education: a qualitative patient-led study by Rosamund Snow, Charlottle Humphrey, and Jane Sandall. In this qualitative study, the authors engaged with 21 patients with type 1 diabetes who had developed expertise about their condition. Some interesting findings about how healthcare providers may be uncomfortable with patient who understand themselves and their condition. (Thanks to Sara Riggare for sharing this article with us!)

Internet of You: Users Become Part of the City-as-a-System by Tracy Huddleson. An good look into how wearables and personal technology might have an impact on the public infrastructure, institutions, and spaces.

Welcome to Dataland by Ian Bogost. Not sure how I missed this one piece from late July, but glad I stumbled across it this week. Ian Bogost takes a tour through the actual and imagine implications of the Disney Magic Band. I especially enjoyed the historical context describing the history of futurism at Disney.

Show&Tell
Gary Wolf on Cool Tools Show #15. QS co-founder, Gary Wolf, speaks with Mark Frauenfelder and Kevin Kelly on the Cool Tools Podcast about his favorite self-tracking tools and what he’s learned from using them.

My Life Analysis Spreadsheet by Reddit user batting_1000. A really interesting example of using Excel to track various aspects of daily life. Make sure to click through for the example screen shots.

Visualizations
BasisInterstellarMy heart rate during Interstellar (via Basis Peak) by Reddit user javaski. An nice use of the BasisRetreiver tool to download and analyze heart rate data from the new Basis Peak device.

Seasonal-compliance1-1024x576Activity Time vs. Device Wear Time by Shannon Conners. Shannon plotted her actual wear time using the BodyMedia Fit against the activity data to show that low activity numbers are probably caused by hotter summer months when wearing the armband caused unwanted tan lines.

“If I had not explored my activity and usage data first to remind me of this usage pattern, I could have created any number of plausible explanations for why my activity levels were so much lower during the hot North Carolina summer months.”

From the Forum
Wearable for Stress – Olive
Necklace worn fitness trackers?
MoodTraces App
New Heart Rate Variability and Coherence Papers
Artistic Apps

This Week on QuantifiedSelf.com
Ben Finn: Improving My Sleep
Nan Shellabarger: 26 Years of Weight Tracking

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What We Are Reading

We’ve collected another fun batch of reading for you. Enjoy!

High tech in vehicles puts drivers’ privacy up for grabs by Karl Henkel.The cars we’re driving are collecting, storing, and in some cases, transmitting all sorts of data. What are the implications of cars as computers?

Are Companies tracking us, or merely “observing” us? by James Robinson. Another privacy piece here. When large corporations collect consumer data are they able to understand us individually, or are they just making observations about general patterns? Don’t forget, we’ve been down this road before.

Here’s what happens when a data scientist goes to Disney World by Derrick Harris. Apparently the theme to start the list this week is consumer tracking. This article takes a look at the newly implemented “Magic Band” system at the Disney World Resort. Disney is clearly leading the field here, but experience augmentation based on personal data is coming very soon to a store near you.

NBA players start wearing wearable health trackers by John Comstock. Not a surprising move here by the the NBA to equip players with wireless healthy and activity tracking systems. This isn’t the first time we’ve seen self-tracking technology being adopted by professional athletes. I for one am looking forward to watching basketball games with integrated player data visualizations.

Self-surveillance: Should you worry or simply embrace your personal data? By Laurie Frick. A great piece here by our friend, Laurie Frick. Laurie is an artist based in Austin (and part of the Austin QS meetup group) that uses self-tracking data as the inspiration for her various artistic explorations. In this piece she explains her work and he feelings about self-tracking.

Home Automation is an EasyHard Problem by Scott Jenson. I’m a big fan of the Internet of Things and look forward to a more connected future. However, maybe our ideas about what is possible are misguided. In this short piece Scott explains that it’s possible we’re not properly classifying the actual problem at hand,  “[...] humans are messy, illogical beasts and simplistic if/then rules are going to create a backlash against this technology.

Summer Internship in Advanced Analytics. Our friends at Pew are looking for interns to work on advanced analytics and data science. We’d love to see a member of our QS Community help them out.

Visualizations of the Week

brianhouseEternal Portraits by Brian House. Facebook uses facial recognition algorithms to know what their users look like. At one point they exposed that data to users as part of the data export feature. Says Brian, “The information is unusable in its raw form without knowing the specifics of Facebook’s algorithm. But as an irrevocable corporate byproduct, the future implications of such data remain unclear.

 

 

xkcd-d3XKCD-style Plots in D3 by Dan Foreman-Mackey. Not a complete visualization per se, but this example demonstrates how to manipulate D3 to show plots in the style of the great Randall Monroe of XKCD.

 

 

 

fb_loveThe Formation of Love by Carlos Diuk. The Facebook data team crunched the numbers and started to learn what happens as users fall in and out of love.

 

 

 

 

Visualizing Health. A great new project from our friends at the Robert Wood Johnson Foundation and their collaborators at the University of Michigan. Browse the galleries to find scientifically vetted visualization techniques related a variety of health information situations.

From the Forum

Reporter App Question
Drowzy: app made by Board certified Psychiatrist and Sleep Medicine Expert
Fitness tracker and Jawbone Up data analysisa
Sentiment analysis on my own writing
Best iOS app to track water/coffee/alcohol intake?

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