Today my PhD student Simon Kamronn successfully defended his PhD thesis ”Monitoring and modelling of behavioral changes using smartphone and wearable sensing”. Congratulations, Simon!
I participated in the QS2018 conference Sept 22-23 in Portland – two very intense days as (again!) I had committed to do too many different talks and sessions during the conference.
This included a breakout session on subjective experience tracking and a how-to session on building self-tracking instrumentation. In addition I did a personal show and tell talk and was invited to the panel in the closing plenary session.
In particular I enjoyed the opening of the QS18 conference by Allen Neuringer, professor of psychology saying “I have waited 50 years to be here”.
I participated in the QS2017 conference June 17-18 in Amsterdam – two very intense days as I had committed to do four different talks/breakouts during the conference.
Together with Quantified Self Institute we did a breakout on QS research. Thomas Blomseth Christiansen and I organized a workshop/breakout session on Tracking Subjective Experience. I organized another breakout session about food tracking, which included a group of people with type 1 diabetes. And finally I did a show and tell talk about longitudinal tracking of sleep and resting heart rate.
Had the opportunity to participate in SAA 2017 – the 5th biennial conference of the society for ambulatory assessment and present our work on Instrumenting ecological momentary assessment with a wearable smartbutton as part of a session on Methods and Protocols.
Moreover I had the opportunity to attend the keynote by Arthur Stone on “Challenges remaining for the field of real-time data capture”, including his shout out to the “Quantified Self Movement”, as he phrased it. During the Q&A I asked him to elaborate on the role of QS from his perspective, to which he responded: I think it’s really interesting that people are becoming so interested in monitoring themselves and get feedback about themselves. To me it seems like again maybe we should think about what they are doing and what they are saying and talk to them. And perhaps talk about the hypothesis generation, because I don’t see them doing the kind of stricter scientific research that we need to do in order to confirm the associations. But I think, I mean it’s great that people are doing this and are interested in this. It’s a little worrisome that the big corporations are getting into this – I mean maybe it’s worrisome, maybe it’s great. I’m not sure. Something is happening now and I don’t know quite how this is all going to turn out.
I was invited to give a keynote at the Quantified Self Institute at Hanze University of Applied Science. My talk was entitled (Repurposing) self-tracking tools to obtain insights, where I discussed some of the practices observed among the experienced self-trackers in the Quantified Self Community over the years.
Today my PhD student Per Bækgaard successfully defended his PhD thesis ”Enhancing User Experience in Next Generation Mobile Devices Using Eye Tracking as a Biometric Sensor”. Congratulations, Per!
We got invited to showcase the work on the smartphone brain scanner as part of a EURO Tech meeting in Bruxelles. Yet again we got a lot of enthusiastic response on our work.
The theme of the event was ”Breaking Currents” and the ambiguous wording of the theme inspired me to the ambiguous title of my talk: Human Data for Life.
Videos from the event should be posted within a couple of weeks.
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.
At the recent MeeGo 2011 conference Arek Stopczynski and I gave a well received presentation on ‘Mobile Platforms in Research and Teaching’, where we gave a set of specific examples of research projects that have included prototyping on high-end smartphone/tablet devices.
The online Prezi presentation is available here.