[agents] UMUAI Special Issue on Personality in Personalized Systems - 2nd cfp

Tue Sep 30 14:10:16 EDT 2014

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2ND CALL FOR PAPERS

Special Issue on Personality in Personalized Systems

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

*** Extended abstract submission deadline: December 1, 2014
*** Paper submission deadline (for accepted abstracts): March 1, 2015
Special Issue Web site:=20
http://www.cp.jku.at/people/tkalcic/umuai_personality.html
UMUAI Web site: http://www.umuai.org/
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SCOPE OF THE SPECIAL ISSUE

Personality has been found to correlate with a number of real-world=20
behaviors. For example, it correlates with musical taste: popular music=20
tends to be liked by extroverts, whereas people with a tendency to be=20
less open to experience tend to prefer religious music and to dislike=20
rock music. Personality also impacts on the forming of social relations:=20
friends tend to be, to a very similar extent, open to experience and=20
extrovert. Furthermore, there is a strong correlation between=20
personality and how people prefer to learn, indicating that learning=20
styles can be seen as a subset of personality. Since personality has=20
been shown to affect real-world user preferences (e.g. preferences for=20
interaction styles, preferences for learning, preferences for musical=20
genres), we might conclude that the design of online services (e.g.,=20
personalized user interfaces, music recommender systems, adaptive=20
educational systems, and games) might also benefit from personality studi=
es.

This is the reason why researchers have recently explored the extent to=20
which personality traits impact on the use of interactive and hypermedia=20
systems. They found, for example, that personality is associated with=20
specific preferences for music genres online, and that this greatly=20
impacts on music-information retrieval services. Collaborative filtering=20
techniques have also benefited from assessing the users=E2=80=99 personal=
ity=20
traits. It has also been shown that users open to new experiences (one=20
of the big five personality traits) tend to prefer more diverse and=20
serendipitous items (e.g., movies). Furthermore, learning styles have=20
been heavily used in educational systems to personalize courses in terms=20
of the structure and presentation of learning materials. In the context=20
of games, for example, it has been found that personality seems to=20
impact on the motivation for playing online games. Also, certain=20
personality traits have been found to correlate with communication=20
styles and, as a consequence, the adoption of location-sharing social med=
ia.

The five-factor model of personality, or the Big Five, is the most=20
commonly used set of personality concepts and one of the most reliable=20
and comprehensive models of personality. In this model, an individual is=20
associated with five scores that correspond to the five main personality=20
traits. The names of those traits form the acronym OCEAN: Openness,=20
Conscientiousness, Extraversion, Agreeableness, and Neuroticism.

Other models of personality are, for example, the Four Temperaments (the=20
oldest general model), the Benziger brain type (a work-related model),=20
the Belbin team roles model, the Myers-Briggs types (general and=20
team-working model), the RIASEC vocational model or the Bartle types=20
(describing personalities in video games).

While personality traits are normally identified by asking people to=20
complete a questionnaire, researchers have recently shown that=20
personality traits can be extracted implicitly from the users' streams=20
(e.g., tweets, Facebook updates) without resorting to time-consuming=20
questionnaires. Furthermore, players=E2=80=99 behaviors in games have bee=
n=20
investigated and can also provide information about a player=E2=80=99s=20
personality. Similarly, several researchers have conducted studies on=20
using data from learners=E2=80=99 behaviors in a course to automatically=20
identify their learning styles.

TOPICS

The topics of interest for this special issue include (but are not=20
limited to):
* Personality models for personalized systems;
* Personality prediction/extraction/assessment from behavior and/or=20
preference data in
     * games
     * multimedia content (e.g., music, films, etc.)
     * social media
     * educational systems
     * business applications
     * other modalities (e.g., mobile devices etc.)
* Automatic prediction/extraction/assessment of other (e.g., lower-level=20
or application- specific)  personality factors such as
     * learning styles
     * cognitive styles
     * communication styles
     * thinking styles
* Privacy issues;
* Enhancing user/learner models with personality;
* Evaluation of personality-based personalized services;
* Novel applications considering personality including
     * personality in games
     * personality and learning styles in educational systems
     * personality and multimedia content
     * personality in social media
     * personality and recommender systems

PAPER SUBMISSION & REVIEW PROCESS

The prospective authors must first submit an extended abstract of no=20
more than 4 single-spaced pages, formatted with 12-pt font and 1-inch=20
margins, through easychair:

https://www.easychair.org/conferences/?conf=3Dumuai-personality-20

by December 1, 2014. This abstract should be preceded by a completed=20
UMUAI self-assessment form that can be found at=20
http://www.umuai.org/self-assessment.html, preferably both in a single=20
PDF file.

All submitted abstracts will receive an initial screening by the editors=20
of the special issue.  The authors of the abstracts will be notified=20
about the results of the initial screening by *** December 15, 2014 ***.=20
   Abstracts that do not pass this initial screening (i.e., the abstracts=20
that are deemed not to have a reasonable chance of acceptance) will not=20
be considered further.

Authors of abstracts that pass the initial screening will be invited to=20
submit the full version of the paper by *** March 1, 2015 ***. The=20
formatting guidelines and submission instructions for full papers can be=20
found at http://www.umuai.org/paper_submission.html. Papers should not=20
exceed 40 pages in journal format.  Each paper submission should note=20
that it is intended for the Special Issue on Personality in Personalized=20
Systems and be submitted via email to the address mentioned in the=20
submission instructions given above (submission at umuai.org).

The tentative timeline for the special issue is as follows:
* December 1, 2014:        Submission of extended abstracts
* December 15, 2014:    Notification regarding abstracts
* March 1, 2015:        Submission of full papers
* June 30, 2015:        First round review notifications
* September 15, 2015:    Revised papers due
* November 15, 2015:    Final notifications due
* December 15, 2015:    Camera-ready papers due
* February 15, 2016:    Publication of special issue

GUEST EDITORS:

Marko Tkal=C4=8Di=C4=8D, Johannes Kepler University, Linz, Austria
marko.tkalcic at jku.at

Daniele Quercia, Yahoo Labs, Barcelona, Spain
dquercia at yahoo-inc.com

Sabine Graf, Athabasca University, Edmonton, Canada
sabineg at athabascau.ca

--=20
----------------------------------------------------------------------
Dr. Marko Tkalcic
mailto:marko.tkalcic at gmail.com
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=3DJQ2puysAAAAJ
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