activity
20132018
most citedMeasuring large-scale social networks with high resolution

422 citations · 633 across the 9 of their papers we have counts for

collaborators

10 papers

cs.HC2018★ 6 cited

Fostering Bilateral Patient-Clinician Engagement in Active Self-Tracking of Subjective Experience

Jakob Eg Larsen, Thomas Blomseth Christiansen, Kasper Eskelund

In this position paper we describe select aspects of our experience with health-related self-tracking, the data generated, and processes surrounding those. In particular we focus o…

cs.HC2017

The Blank Stare: Retrieving Unique Eye Tracking Signatures Independent of Visual Stimuli

Per Bækgaard, Michael Kai Petersen, Jakob Eg Larsen

Using Low Cost Portable Eye Tracking for Biometric Identification Or Verification: Eye tracking technologies have in recent years become available outside of specialised labs, and…

cs.HC2016

Separating Components of Attention and Surprise

Per Bækgaard, Michael Kai Petersen, Jakob Eg Larsen

Cognitive processes involved in both allocation of attention during decision making as well as surprise when making mistakes trigger release of the neurotransmitter norepinephrine,…

cs.CY2016★ 68 cited

SensibleSleep: A Bayesian Model for Learning Sleep Patterns from Smartphone Events

Andrea Cuttone, Per Bækgaard, Vedran Sekara +3

We propose a Bayesian model for extracting sleep patterns from smartphone events. Our method is able to identify individuals' daily sleep periods and their evolution over time, and…

cs.GR2016★ 3 cited

Geoplotlib: a Python Toolbox for Visualizing Geographical Data

Andrea Cuttone, Sune Lehmann, Jakob Eg Larsen

We introduce geoplotlib, an open-source python toolbox for visualizing geographical data. geoplotlib supports the development of hardware-accelerated interactive visualizations in…

cs.CY2016★ 2 cited

Who Wants to Self-Track Anyway? Measuring the Relation between Self-Tracking Behavior and Personality Traits

Georgios Chatzigeorgakidis, Andrea Cuttone, Sune Lehmann +1

We describe an empirical study of the usage of a mobility self-tracking app, SensibleJournal 2014, which provides personal mobility information to N=796 participants as part of a l…

cs.HC2015

Assessing Levels of Attention using Low Cost Eye Tracking

Per Bækgaard, Michael Kai Petersen, Jakob Eg Larsen

The emergence of mobile eye trackers embedded in next generation smartphones or VR displays will make it possible to trace not only what objects we look at but also the level of at…

cs.SI2014★ 422 cited

Measuring large-scale social networks with high resolution

Arkadiusz Stopczynski, Vedran Sekara, Piotr Sapiezynski +4

This paper describes the deployment of a large-scale study designed to measure human interactions across a variety of communication channels, with high temporal resolution and span…

stat.AP2013

Crowds, Bluetooth, and Rock-n-Roll. Understanding Music Festival Participant Behavior

Jakob Eg Larsen, Piotr Sapiezynski, Arkadiusz Stopczynski +2

In this paper we present a study of sensing and analyzing an offline social network of participants at a large-scale music festival (8 days, 130,000+ participants). We place 33 fix…

cs.HC2013★ 132 cited

The Smartphone Brain Scanner: A Mobile Real-time Neuroimaging System

Arkadiusz Stopczynski, Carsten Stahlhut, Jakob Eg Larsen +2

Combining low cost wireless EEG sensors with smartphones offers novel opportunities for mobile brain imaging in an everyday context. We present a framework for building multi-platf…