Today my PhD student Andrea Cuttone successfully defended his PhD thesis “Data Mining and Visualization of Large Human Behavior Data Sets”. Congratulations, Andrea!
Tag Archives: sensing
Arek Stopczynski defended his PhD thesis
Today my PhD student Arek Stopczynski successfully defended his PhD thesis ‘Mobile Phones as Cognitive Systems‘. Congratulations, Arek!
TEDx Talk: Human Data for Life
My TEDx talk entitled Human Data for Life from the recent TEDxCopenhagenSalon event is available.
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.
Crowds, Bluetooth and Rock’n’Roll: Understanding Music Festival Participant Behavior
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.
A nice popular summary of the article was made by MIT Technology Review in Music Festivals, Bluetooth Monitoring and the Behavior of Crowds.
QS Spiral: Visualizing Periodic Quantified Self Data
As part of the Personal Informatics Workshop at CHI2013 we presented our paper QS Spiral: Visualizing Periodic Quantified Self Data. The paper is co-authored with Andrea Cuttone and Sune Lehmann.
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.
PerCom 2013
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.
Data enables a better life
My colleague Carsten Stahlhut and I gave an interview to P1 Harddisken about our smartphone brain scanner and the recent Quantified Self Conference in Amsterdam.
The interview (in Danish) is available as a podcast and starts about the 14:20 mark.
Observing the mobile user experience
Our paper “Observing the Context of Use of a Media Player on Mobile Phones using Embedded and Virtual Sensors” presented in the first workshop on Observing the Mobile User Experience at the 6th Nordic Conference on Human-Computer Interaction Oct 16-20 in Reykjavik, Iceland.
