Wednesday, September 26, 2018

Workshop program

Friday 12th of October:
08:00 Registration opens

09:00 Workshop begins

09:10 - 10:30 Four presentations and personal introductions

9:10 Inferring the Mood of a Community From Their Walking Speed: A Preliminary Study. Oludamilare Matthews, Zhanna Sarsenbayeva, Weiwei Jiang, Joshua Newn, Eduardo Velloso, Sarah Clinch, Jorge Goncalves

9:30 Moodbook: An Application for Continuous Monitoring of Social Media Usage and Mood, Heng Zhang, Shkurta Gashi, Hanke Kimm, Elcin Hanci, Oludamilare Matthews

9:50 Towards Group-Activities Based Community Detection, Sumeet Kumar

10:10 Robust Device-Free Localisation with Few Anchors, Francesco Potorti, Pietro Cassara, Filippo Palumbo

10:30 - 11:00 Coffee break

11:00 - 12:30 Four presentations and personal introductions

11:00 Mapping the Important Sensor Limitations to Design Robust Occupant Sensing Systems, Anooshmita Das, Fisayo Caleb Sangogboye, Mikkel Baun Kjaergaard

11:20 A Mobile Scanner for Probing Liquid Samples in Everyday Settings, Weiwei Jiang, Gabriele Marini, Niels van Berkel, Zhanna Sarsenbayeva, Chu Luo, Xin He, Tilman Dingler, Yoshihoro Kawahara, Vassilis Kostakos

11:40 Toward a Bayesian Approach for Self-Tracking Personal Pollution Exposures, Debaleena Chattopadhyay

12:00 Challenges in Capturing and Analyzing High Resolution Urban Air Quality Data, Matthias Budde, Till Riedel

12:30 - 14:00 Lunch

14:00 - 16:30 Afternoon program (Coffee break between 15:00-15:30)

During the afternoon program, we invite all workshop participants to form conversation groups based on similar interests - based on the introductions during presentations - to discuss and innovate potential collaboration topics. We will reconvene to the workshop location at around 15:30 to give each group a short demonstration of what they have come up and discuss these ideas further.

18:00 Workshop dinner & drinks (location decided later, each attendee pays on his own)

Thursday, August 9, 2018

Workshop Merger

At the Ubicomp conference this year, a number of workshops were organised and in some of them - including ours - the topics overlapped with each other significantly. This likely caused the submission numbers to be lower than anticipated.

In order to maintain a level of quality during the workshop session, we have decided to merge our workshop with the 'Mood Sensing in the Wild' workshop. As an author, this does not require any extra attention, it simply means the authors who submitted to either of these two workshops will attend the same session.

We chose to merge these two particular workshops because of the similarity in their topic.

In behalf of the SaB Workshop organisers,

- Aku Visuri

Friday, July 20, 2018

Submission deadline extended

According to the Ubicomp guidelines we have decided to extend the submission deadline until the 30th of July. This will ensure higher quality and higher number of submissions to each of this years workshops.

In case of any questions regarding submitting to our workshop, do not hesitate to contact the organisers.

See you in Singapore!

Thursday, May 3, 2018

Sensors & Behaviour

Our world is increasingly interconnected via a wide variety of computers, IoT, wearable and mobile devices. The information provided collectively through these devices offers insightful information on our everyday lives, daily patterns, and behaviour on both an individual and group level. The SaB’18 (Sensors & Behaviour) workshop brings together researchers interested in collecting and augmenting context to understand device specific behaviour and routines. The outcomes of this workshop are new tools, methodologies, and potential collaborations at the boundary of behavioural studies and sensing technologies.

The rapidly increasing use of computers, IoT-devices, and interconnected wearables and mobile devices have given individuals, researchers, (commercial) organisations, and governments access to nearly unlimited information in the form of digital data. This personal information offers unique insights on different tiers of behaviour – individual behaviour traits, combined traits, and group behaviours as observed through a combination of data from multiple individuals.

In the context of mobile computing, mobile and wearable devices can collect an uninterrupted stream of information about the user’s activity, location, and e.g., device usage related information. Mobile devices have several built-in sensors (e.g., accelerometer, proximity sensor, gyroscope). These mobile sensors are primarily used by the mobile operating system to enhance the user experience, such as app functionality or mobile device user interaction (e.g., vibration feedback, screen orientation detection). Other sensed measurements (e.g., overall device use, application choices, battery-related characteristics) can reveal information on a user’s device usage behaviour. Information retrieved via these sensors and further processed can further reveal associations with the users behaviour in vivo, or daily affect, such as boredom or stress.

In this workshop, we bring together researchers who take advantage of the proliferation of mobile devices, use these devices as instruments for research on human activities and device usage behaviour. We investigate new and existing methods and tools for collecting instrumented data. We are especially interested in mobile devices, systems, applications, methods and tools that were built to collect, augment, and explore such rich datasets. More so, we want researchers to share their experiences, successes, and frustrations on conducting research and analysing information from such power and processing constrained devices to capture the state-of-the-art.