AwareCast 2015 - 4th Workshop on recent advances in behavior prediction

AwareCast 2015: 4th Workshop on recent advances in behavior prediction
and pro-active pervasive computing
(http://www.comtec.eecs.uni-kassel.de/awarecast/)
In conjunction with 2015 ACM International Joint Conference on Pervasive
and Ubiquitous Computing (UbiComp 2015)
September 07, 2015, in Osaka, Japan
===
Context prediction breaks the border from reaction on past and present
stimuli to proactive anticipation of actions. Research directions spread
from applications for context prediction over event prediction,
architectures for context prediction, data formats, and algorithms.
Recent work focuses on three main challenges:
1. Prediction beyond location
2. Benchmarks and common data sets
3. Common development frameworks
While there have been contributions targeting some of these challenges,
we still see them as unsolved. Thus we invite unique contribution
addressing these challenges and provide a forum to facilitate
collaboration among research groups focusing on context prediction.
TOPICS OF INTEREST INCLUDE, BUT ARE NOT LIMITED TO:
* ACCURATE PREDICTION OF SELDOM EVENTS: Important events are frequently
also seldom events. How can we train a system on events which are not
likely covered by training data sets?
* IDENTIFICATION OF ACTIONS AND SITUATIONS SUITABLE FOR CONTEXT
PREDICTION: User behavior is noisy and not necessarily contains
patterns, which can be predicted. In particular, predictable patterns
are frequently interleaved with non-predictable patterns. Inherently,
the underlying (stochastic?) process has to feature some regularity or
trends.
* CONTINUOUS LEARNING: User behavior and habit changes over time. To
guarantee constant accuracy, the approach must be able to ‘forget’
patterns which grow unimportant.
* DEVELOPMENT FRAMEWORKS: To pave the way for a broader use of context
prediction in applications, robust and easy to use frameworks are in
need. These frameworks should simplify the development of context
prediction applications and preferably be available as open source.
* NOVEL APPLICATIONS: As discussed above, research on context prediction
used to focus heavily on location prediction. While contributions
dealing with location prediction are welcome, when they address at
least one of the other topics, we like to see novel application of
context prediction.
* MULTI-USER AND MULTI-SENSOR PREDICTION: Since humans tend to behave
similar, context time series of other users may be helpful to
increase the accuracy of context prediction for similar users.
Additionally the utilization of multiple sensors may affect the
robustness of the prediction approaches.
* DATA SETS AND BENCHMARKS: Currently, comprehensive data-sets are
created for context-computing. However, these data-sets are hardly
sufficient to be applied for context prediction applications. In
particular, data has to be sampled over longer time-spans and cover
stochastic processes which are inherently predictable.
* PRIVACY AND TRUST: Shared time series but also the fact that context
time series might cover events and actions of remote entities rises
questions of privacy and trust.
* DATA PROPERTIES AND METRICS: Context data may have properties
leveraging context prediction, e.g. periodicity of predictable
patterns. How can properties of context data be generalized? Which
properties make data suitable for context prediction, and which
properties don’t? Can we define metrics to measure data properties?
IMPORTANT DATES:
Extended Submission Deadline: May 27, 2015
Author Notification: June 18, 2015
Camera-ready version due: July 03, 2015
Workshop: September 07, 2015
PROGRAM COMMITTEE, SUBMISSION INSTRUCTIONS:
See the workshop website:
http://www.comtec.eecs.uni-kassel.de/awarecast/
CHAIRS:
Klaus David, Kassel University, Germany
Rico Kusber, Kassel University, Germany
Sian Lun Lau, Sunway University, Malysia
Stephan Sigg, Georg-August University Goettingen, Germany
Christine Julien, University of Texas at Austin, USA
CONTACT INFO:
?Email: awarecast-AT-comtec.eecs.uni-kassel.de