Department of Computational Perception
Department of
Computational Perception
Johannes Kepler Universität Linz


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UMUAI - Special Issue on Physiology in Personalized Systems

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

Extended abstract submission deadline: 20. September 2015 June 1, 2015

Paper submission deadline (for accepted abstracts): 15. December 2015 September 1, 2015

Special Issue Web site: http://www.cp.jku.at/people/tkalcic/umuai_physiology.html

UMUAI Web site: http://www.umuai.org/

Flyer (PDF)

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 properties (e.g. preferences, attitudes, personality traits, which are stable over longer time periods) and short-term user properties (e.g. affective/cognitive states, which can change more rapidly). Long-term properties 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 short-term properties, which change rapidly. Hence, personalization techniques may lack quick, responsive and unobtrusive techniques to acquire the short-term user properties.

The measurement of peripheral physiology and brain responses of users can complement the traditional user feedback acquisition techniques by providing insight into short-term changes of the user. Physiological measurement can be continuously available, quantitative and relatively unobtrusive (given recent advances in sensor technology). Therefore, personalized systems can aim to accommodate a more detailed and temporally adaptive user models that try to mimic the dynamics of the user’s cognitive and affective states. In addition, these physiological data can be used for complementing long-term user properties (e.g. personality traits). 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 this special issue include (but are not limited to):

Paper submission and reviewing 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 20. September 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 30. September 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 15. December 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 (submission@umuai.org).

The tentative timeline for the special issue is as follows:

GUEST EDITORS

Marko Tkalčič, Johannes Kepler University, Linz, Austria
marko.tkalcic@jku.at

Stephen Fairclough, Liverpool John Moores University, Liverpool, United Kingdom
s.fairclough@ljmu.ac.uk

Cristina Conati, University of British Columbia, Vancouver, Canada
conati@cs.ubc.ca

Aleksander Väljamäe, Linköping University, Linköping, Sweden
aleksander.valjamae@gmail.com


last edited by mt on 14. July 2015