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Mon, 20 Nov 2017 04:39:28 +0100
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------------------------------------------------------------------------
*Please forward to anyone who might be interested*
Apologies for cross-posting.
------------------------------------------------------------------------
 
2nd Call For Papers:
2nd Workshop on Theory-Informed User Modeling for Tailoring And
Personalizing Interfaces (HUMANIZE)
https://humanize2018.wordpress.com
 
March 11, 2018, Tokyo (Japan)
 
In conjunction with IUI 2018
http://iui.acm.org/2018/
 
------------------------------------------------------------------------
MOTIVATION AND GOALS
 
The HUMANIZE workshop aims to explore the interface between data-driven
and theory-driven approaches for constructing intelligent/personalized
user interfaces. Data-driven approaches for personalized user interfaces
can rely on building models from observed and measured user interaction
behavior that can predict future behavior from historic behavior.
Theory-driven approaches rely on understanding of how certain
psychological traits (e.g. personality, cognitive styles, interests)
affect the experience/needs of the intended users.
 
The combination of these two approaches, model-driven and data-driven,
provides an interesting research direction. Understanding what traits of
a user influence how an interface can be best personalized to match
their needs and experience can be captured in a formal user model.
Through data mining of interaction data these formal models can be fit
to the data and as a result interfaces can be personalized in an
informed, grounded way.
 
Advances in combining formal user models with data mining can be and
have been made in grossly two ways that complement each other. On the
one hand this can be done by identifying formal user models that can be
used to base personalization on (such as cognitive style). On the other
hand this can be done by finding ways to infer these user models from
data. These two ways complement each other can be combined in a
theory-informed personalization.
 
The HUMANIZE workshop combines practical data mining methods and
theoretical knowledge for personalization, providing a venue where
researchers from different fields come together to share their thoughts
and experiences. In addition, the workshop will allow for an exploration
of future opportunities in hopes of identifying possible links between
the algorithmic side of behavioral analysis and the theoretical
understanding of users for personalization.
 
 
TOPICS OF INTEREST
 
An non-exhaustive list of topics for this workshop is:

* Identification of psychological traits that can be used as a formal
user model for personalization (e.g., personality, level of domain
knowledge, need for cognition, cognitive styles)
* Data mining methods to infer user profiles in terms of identified
formal user models (e.g., how to infer someone's personality from their
social media)
* How (user) interfaces can be tailored to better match certain user
psychological traits (e.g., altering the number of search results for
users with a higher need for cognition, ordering of interface elements,
using visual versus textual representations)
* Of particular relevance are user studies that combine one or more of
the above points
 
 
TYPES OF PAPERS
 
For this workshop we encourage three kinds of submissions:
 

* Full papers (anonymized 8-10 pages)
* Short papers (anonymized up to 4-6 pages)
* White papers/Position Statements (anonymized up to 2-4 pages)
* page count is excluding references
 
Submissions should follow the standard SigConf format. Use either the
Microsoft Word template or the LaTeX template:
http://www.acm.org/publications/article-templates/proceedings-template.html/
 
 
IMPORTANT DATES
 

* 17th December - Submission Deadline
* 23rd January - Acceptance Notification
* 6th February - Camera-ready of Accepted Papers
* 11th March - Workshop
 
 
SUBMISSION & PUBLICATION
 
All submissions will undergo a peer-review process to ensure a high
standard of quality. Referees will contechnical soundness, clarity of exposition, and relevance to the
workshop?s topics. The reviewing process will be double-blind so
submissions should be properly anonymized.
 
Research papers should be submitted electronically as a single PDF
through the EasyChair conference submission system:
https://easychair.org/conferences/?conf=humanize2018
 
Accepted submissions will be included in the joint ACM IUI workshop
proceedings published as a CEUR-WS volume. In order for accepted papers
to be included, at least one author should be registered
(http://iui.acm.org/2018/attending.html#registration) and attend the
workshop.
 
 
ORGANIZING COMMITTEE
 
Graus, Mark - [log in to unmask]
Human-Technology Interaction Group
Eindhoven University of Technology (NL)
http://www.tue.nl/staff/m.p.graus
 
Ferwerda, Bruce - [log in to unmask]
School of Engineering
Jönköping University (SE)
http://www.bruceferwerda.com
 
Tkalcic, Marko - [log in to unmask]
Faculty of Computer Science
Free University of Bozen-Bolzano (IT)
http://www.inf.unibz.it/~tkalcic/
https://markotkalcic.wordpress.com/
 
Germanakos, Panagiotis - [log in to unmask]
UX, Mobile & Business Services
P&I Industry Cloud & Custom Development
SAP SE (DE)
Department of Computer Science
University of Cyprus (CY)
http://scrat.cs.ucy.ac.cy/pgerman/
 
 
 
PROVISIONAL PROGRAM COMMITTEE

* Ardissono, Liliana (University of Turin)
* Belk, Marios (CognitiveUX)
* Burke, Robin (DePaul University)
* Cantador, Iván (Universidad Autónoma de Madrid)
* Celli, Fabio (University of Trento)
* Conati, Cristina (University of British Columbia)
* Elahi, Mehdi (Free University of Bozen-Bolzano)
* Ge, Mouzhi (Bundeswehr University Munich)
* de Gemmis, Marco (University of Bari Aldo Moro)
* Graf, Sabine (Athabasca University)
* Herder, Eelco (Radboud University Nijmegen)
* Kleanthous, Styliani (University of Cyprus)
* Knees, Peter (Vienna University of Technology)
* Kumar, Vikas (University of Minnesota)
* Lee, Michael (New Jersey Institute of Technology)
* Loepp, Benedikt (University of Duisburg-Essen)
* Ludmann, Cornelius (University of Oldenburg)
* Mobasher, Bamshad (DePaul University)
* Musto, Cataldo (University of Bari Aldo Moro)
* Skowron, Marcin (Austrian Research Institute for Artificial
Intelligence)
* Yang, Yi-Hsuan (Academia Sinica)
* Zanker, Markus (Free University of Bozen-Bolzano)
* Zheng, Yong (Illinois Institute of Technology)


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