I appeared on the TV2 “Go’ aften Danmark” show tonight (May 12) to discuss the phenomenon quantified self (in Danish: selvmåling) and also the potential for our future health care system. The hosts were really good sports, as they had themselves been self-tracking steps, weight, body fat, activity, and mood for about a week.
The show is available on the TV2 Play website (subscription required) starting out with a general discussion of quantified self and self-tracking and in the end of the show we discuss the future potential of self-tracking.
This weekend (May 9-11) I attended the Quantified Self Europe Conference 2014 in Amsterdam. Yet again a very packed conference program with lot’s of interesting presentations, show&tell, breakout sessions, and as usual 10 different things going on at the same time.
I presented our poster on Visualizing QS Data Using Time Spirals (PDF), which got a lot of attention from the conference participants. The poster was co-authored with my PhD student Andrea Cuttone, and collegue Associate Professor Sune Lehmann.
In addition I led a breakout session on “Strategies for Managing Personal Data”, which led into an interesting discussion of strategies, tools, and the common struggle experienced by multiple participants that personal data management is still a largely complex process.
Interestingly the conversation recently have moved more towards discussing the potential of self-tracking in healthcare. And sure enough the conversation during the Q&A session was primarily focused on the potential and the consequences for the healthcare system (and patient) in the future. Some addressed this as a question of power and who has the upper hand (doctors and the system losing power), but I believe it’s not productive for the conversation to see it that way. Of course the stakeholders will eventually need to change their roles, but improved tools will be beneficial for all stakeholders. The conversation continues…
This week I’m attending the Quantified Self Global Conference 2013 in San Francisco.
Quantified Self, Personal Informatics, and Life Logging has gained increased attention among scientists and researchers. So at the conference I will be leading a breakout session on QS Research, where we will discuss challenges, opportunities, and future directions in this research domain.
Per Bækgaard joins the lab as a new PhD student in the Cognitive Systems Section at DTU Compute under my supervision and co-supervised by Michael Kai Petersen. Per will work on the Eye Tracking for Mobile Devices project. The working title of the PhD project is Enhancing User Experience on Next Generation Mobile Devices by Combining Eye Tracking with Biometric Data. Welcome, Per!
Andrea Cuttone joins the lab as a new PhD student in the Cognitive Systems Section at DTU Compute under my supervision and co-supervised by Sune Lehmann. Andrea will work in part on the Sensible DTU project and use that as an experimental platform for his PhD project. The working title of the PhD project is Data mining and visualization tools for human behavior data. Welcome, Andrea!
Over the last couple of years self-tracking has gained increased interest with the availability of smartphones and low-cost wearable sensors. The increasing quantities of data that we can capture about human behavior and interactions are key to future improvements in health and well-being.
Our paper on Crowds, Bluetooth and Rock’n’Roll: Understanding Music Festival Participant Behavior is available in arXiv. At a large music festival (8 days and 130,000+ participants) we applied Bluetooth sensing to discover Bluetooth-enabled mobile phones carried by the participants, which enabled us to observe patterns of behavior in terms of participant mobility and offline social interaction. An overall summary of the mobility data collected during the 8 day festival is shown below.
As part of the ACM CHI2013 conference we held our two day Personal Informatics Workshop and hackathon. We had a record number of submissions and accepted 24 papers. Google had kindly sponsored the workshop with a number of self-tracking devices that participants could use as part of their hackathon projects.
During the two day hackathon five groups developed personal informatics concepts and systems and we concluded the workshop with a joint meetup with the local Quantified Self Paris Meetup Group where the groups presented their results.
In the paper we propose an interactive visualization technique QS Spiral that aims to capture the periodic properties of quantified self data and let the user explore those recurring patterns. The approach is based on time-series data visualized as a spiral structure. The interactivity includes the possibility of varying the time span and the time frame shown, allowing for different levels of detail and the discoverability of repetitive patterns in the data on multiple scales.
I had the opportunity to be part of the PerCom Pervasive Computing conference where I presented our paper on Participatory Bluetooth Sensing, as well as chairing a session in the PerMoby 2013 workshop on “Understanding Context”. Our paper was well received and generated a lot of interesting questions and comments.