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CHI-ANNOUNCEMENTS  January 2015, Week 3

CHI-ANNOUNCEMENTS January 2015, Week 3

Subject:

UMUAI Special Issue on Physiology in Personalized Systems - CFP

From:

Marko Tkalcic <[log in to unmask]>

Reply-To:

Marko Tkalcic <[log in to unmask]>

Date:

Thu, 15 Jan 2015 00:50:48 +0100

Content-Type:

text/plain

Parts/Attachments:

Parts/Attachments

text/plain (139 lines)

****************************************************
CALL FOR PAPERS

Special Issue on Physiology in Personalized Systems

User Modeling and User-Adapted Interaction: The Journal of 
Personalization Research (UMUAI)

*** Submission deadline for extended abstracts: June 1, 2015
*** Submission deadline for full papers (for accepted abstracts): 
September 1, 2015
Special Issue web site: 
http://www.cp.jku.at/people/tkalcic/umuai_physiology.html

GUEST EDITORS:
Marko Tkalčič, Johannes Kepler University, Linz, Austria 
([log in to unmask])
Stephen Fairclough, Liverpool John Moores University, Liverpool, United 
Kingdom ([log in to unmask])
Cristina Conati, University of British Columbia, Vancouver, Canada 
([log in to unmask] )
Aleksander Väljamäe, Linköping University, Linköping, Sweden 
([log in to unmask])
****************************************************

SCOPE OF THE SPECIAL ISSUE

Personalization techniques, in general, build upon user models. These 
models are application-specific and account both for long-term user 
characteristics (traits, such as preferences, attitudes, personality, 
which are stable over longer time periods) and short-term user 
characteristics (e.g. affective/cognitive states, which change more 
rapidly). Long-term characteristics can be acquired with existing 
acquisition techniques using either one-time intrusive questionnaires or 
slowly and unobtrusively via various modalities, e.g. ratings, browsing 
history, social media streams. However, these approaches may not be as 
effective for measuring short-term characteristics, which change 
rapidly. Personalisation in response to short-term states often depends 
on implicit measures of behaviour and psychophysiology. Hence, a lot of 
research has been done to develop quick, responsive and unobtrusive 
techniques to acquire the short-term user characteristics.

The measurement of peripheral physiology and brain activity of users can 
provide insight into short-term, dynamic changes in user behaviour. 
Physiological measurement can be continuously available, quantitative 
and relatively unobtrusive (given recent advances in sensor 
technologies). Therefore, personalized systems can accommodate a dynamic 
representation of the user that incorporates adaptive changes in 
cognitive and affective states. In addition, if these physiological data 
are collected over a long period of time, long-term user characteristics 
(e.g. personality traits) can be derived without any need to consult 
directly with the user. Finally, physiological measures can be combined 
with behavioural data to provide a more detailed multimodal model of the 
user.

TOPICS

The topics of interest for the special issue include (but are not 
limited to):
* Physiological user models for personalized systems
* Physiology acquisition for user modeling in
     * personalized gaming and serious gaming
     * personalized education
     * multimedia consumption
     * personalized medical applications
     * other applications/domains
* Datasets with physiology information in personalized 
systems/human-computer interaction
* Privacy issues
* Evaluation of physiology-based personalized services;
* Novel applications considering physiology including
     * games
     * student modeling in intelligent tutoring systems
     * multimedia content consumption/creation
     * social media
     * recommender systems
     * personalized medical applications
     * pervasive applications

PAPER SUBMISSION & REVIEW PROCESS

The prospective authors must first submit an extended abstract of no 
more than 4 single-spaced pages, formatted with 12-pt font and 1-inch 
margins, through easychair:

https://easychair.org/conferences/?conf=umuai-physiology-201

by *** June 1, 2015 ***. This abstract should be preceded by a completed 
UMUAI self-assessment form that can be found at 
http://www.umuai.org/self-assessment.html, preferably both in a single 
PDF file.

All submitted abstracts will receive an initial screening by the editors 
of the special issue.  The authors of the abstracts will be notified 
about the results of the initial screening by *** June 15, 2015 ***.  
Abstracts that do not pass this initial screening (i.e., the abstracts 
that are deemed not to have a reasonable chance of acceptance) will not 
be considered further.

Authors of abstracts that pass the initial screening will be invited to 
submit the full version of the paper by *** September 1, 2015 ***. The 
formatting guidelines and submission instructions for full papers can be 
found at http://www.umuai.org/paper_submission.html. Papers should not 
exceed 40 pages in journal format.  Each paper submission should note 
that it is intended for the Special Issue on Physiology in Personalized 
Systems and be submitted via email to the address mentioned in the 
submission instructions given above ([log in to unmask]).

The tentative timeline for the special issue is as follows:
* June 1, 2015:         Submission of extended abstracts
* June 15, 2015:        Notification regarding abstracts
* September 1, 2015:    Submission of full papers
* December 30, 2015:    First round review notifications
* March 15, 2016:       Revised papers due
* May 15, 2016:         Final notifications due
* June 15, 2016:        Camera-ready papers due
* August 15, 2016:      Publication of special issue

-- 
----------------------------------------------------------------------
Dr. Marko Tkalcic
mailto:[log in to unmask]
http://markotkalcic.wordpress.com
Skype : markotkalcic
Twitter: https://twitter.com/#!/RecSysMare
Linkedin: http://www.linkedin.com/in/markotkalcic
Google Scholar: http://scholar.google.com/citations?user=JQ2puysAAAAJ
----------------------------------------------------------------------

    ---------------------------------------------------------------
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    To unsubscribe from CHI-ANNOUNCEMENTS send an email to
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December 1998, Week 4
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December 1997, Week 3
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