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amon rapp <[log in to unmask]>
Mon, 19 May 2014 16:01:25 +0200
text/plain (136 lines)
 Apologies for cross posting

LinkQS: Workshop on Linking The Quantified Self - (LQS 2014)
in conjunction with Hypertext 2014, Santiago del Chile, Chile, September
1-4, 2014

Submission deadline: 30 May 2014 (extended)
Notification of authors: 06 June 2014
Delivery of camera-ready copy: 13 June 2014
Workshop day: 01 September 2014

Quantified Self (QS), also known as Personal Informatics (PI), is a school
of thought that aims to use technology for acquiring and collecting data on
different aspects of the daily lives of people. These data can be internal
states (such as mood or glucose level in the blood) or indicators of
performance (such as the kilometers run). The purpose of collecting these
data is self-monitoring, performed in order to gain self-knowledge or some
kind of change or improvement (behavioral, psychological, therapeutic,
etc.). Although the current spread on the market of these kinds of tools,
many issues arise when we consider their usage in the daily lives of common
people, such as the meaningfulness and utility of the gathered data for the
final users. We can think to address some of these issues looking beyond
the Quantified Self for finding new technologies and design techniques that
could be applied to this field.

One of the main challenges of self-tracking data is that it comes in
heterogeneous and often very unstructured form. One of the possible ways is
leveraging Semantic Web techniques for integrating heterogeneous data
originated from different devices and applications and give them some kind
of structure. In Quantified Self, in fact, the information gathered by QS
tools are scattered in autonomous silos, that can hardly be meshed together
in order to provide users a complete and satisfying mirror of their
behaviors and physical or psychological states. Besides, often QS tools
simply juxtapose different data in their visualizations but they are not
able to highlight meaningful correlations and provide structures for the
data gathered.

Given that the quantified-self trend is just gaining momentum, it is not
unlikely that we will soon have more and more users who create their own
personal repositories, also referred to lifelogs.  Structuring the data in
these lifelogs is of particular importance in the context of user modeling.
User Modeling techniques can provide useful insights for reasoning on data
gathered, since users are not only in search of the possibility to
visualize their behavioral data, but also to receive useful suggestions for
improving their habits and behavior. Although QS tools have at their
disposal huge amount of data on user behavior, they are not currently
exploiting them for modeling users and providing them personalized

Other topics of interest regard privacy and security issues for the data
gathered, since users perceive QS data as extremely private and are
constantly worried about their final destination. Both aspects are of
particular importance when very sensitive information is recorded, such as
biometrical data or locations. Besides, Information visualization
techniques actually used, for example, for visualizing social data, could
suggest new ways for displaying behavioral data in meaningful manner.
Suggestions for interacting in new ways with Intelligent Objects that are
intertwined through the Internet of Things and are embedded with data
gathering functions are also of interest for the workshop.

Case studies, position papers, future research challenges, reflections in
other domains such as Ubiquitous computing, Ambient intelligence,
Cyber-Physical Systems are welcome.
Relevant workshop topics include but are not limited to:
- (Long-term) User Modeling
- Semantic web
- Web of Things
- Information visualization
- Privacy and security
- Interoperability
- Semantics for reusing
- Sharing of data
- User interaction with linked things
- Ubiquitous computing
- Lifelogging

Papers: 4-8 pages

All accepted papers will be included in the workshop proceedings and will
be published in the Extended Proceedings of ACM Hypertext 2014.

All submissions should be formatted according to the official ACM SIG
proceedings template.
Accepted format: PDF.

Please submit your paper via EasyChair until 30 May 2014:
You need to open a personal account upon the first login, if you do not
have one.

All accepted papers will be included in the workshop proceedings and will
be published in the Extended Proceedings of ACM Hypertext 2014.

Amon Rapp Università di Torino
Frank Hopfgartner Technische Universität Berlin
Till Plumbaum Technische Universität Berlin
Bob Kummerfeld University of Sydney
Judy Kay University of Sydney
Eelco Herder L3S Research Center Hannover

e-mail: [log in to unmask]
Web page:

Amon Rapp
University of Torino - Computer Science Department Svizzera, 185 10149 Torino, Italy
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