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)
UBIQUITOUS MOBILE SENSING: BEHAVIOUR, MOOD, AND ENVIRONMENT workshop
From Mobile Sensors to Measuring Activity and Behaviour: International Workshop on Sensors and Behaviour in Ubiquitous Computing
Wednesday, September 26, 2018
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
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!
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.
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.
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