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Sabine Graf <[log in to unmask]>
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Tue, 4 Mar 2014 09:13:00 -0700
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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:
UMUAI Web site:


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

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

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

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

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


The topics of interest for this special issue include (but are not limited
* Personality models for personalized systems;
* Personality prediction/extraction/assessment from behavior and/or
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 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


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:

by December 1, 2014. This abstract should be preceded by a completed UMUAI
self-assessment form that can be found at, preferably both in a single PDF

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 *** December 15, 2014 ***.  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

Authors of abstracts that pass the initial screening will be invited to
submit the full version of the paper by *** March 1, 2015 ***. The
formatting guidelines and submission instructions for full papers can be
found at Papers should not
exceed 40 pages in journal format.  Each paper submission should note that
it is intended for the Special Issue on Personality 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:
* 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


Marko Tkalčič, Johannes Kepler University, Linz, Austria
[log in to unmask]

Daniele Quercia, Yahoo Labs, Barcelona, Spain [log in to unmask]

Sabine Graf, Athabasca University, Edmonton, Canada [log in to unmask]

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