Call: 1st Workshop on Theory-Informed User Modeling for Tailoring And Personalizing Interfaces (HUMANIZE)

Call For Papers:

1st Workshop on Theory-Informed User Modeling for Tailoring And Personalizing Interfaces (HUMANIZE)
March 13, 2017, Limassol (Cyprus)

In conjunction with IUI 2017


When designing (user) interfaces, practitioners rely on knowledge and experience about the interfaces’ intended users and their needs (in the form of a theory-informed model, such as the user’s cognitive style or personality) in order to provide the optimal interface for its users. In contrast to this, in content recommendations, a more data-driven approach is taken without the need to have to rely on user knowledge.

Combining these two approaches, model-driven and data-driven, provides an interesting research direction. By relying on knowledge about what types of users require what type of interface, and by using data mining techniques to infer the types of users from interaction behavior, interfaces can be personalized in an informed, grounded way.

Advances in combining formal user models with data mining can be 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, so it provides 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.


A non-exhaustive list of topics for this workshop is:

  • Psychological theory that can be used for personalization (e.g., personality, level of domain knowledge, need for cognition, cognitive styles)
  • Data mining methods to infer user profiles in terms of psychological models (e.g., how to infer someone’s personality from their social media)
  • How (user) interfaces can be tailored to better match certain user profiles (e.g. altering the number of search results, ordering of interface elements, visual versus textual representations)
  • User studies investigating one or more of the above points


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 SigCHI format. Use either the Microsoft Word template or the LaTeX template:


16th December – Submission Deadline
8th January – Acceptance Notification
13th January – Camera-ready of Accepted Papers
13th March – Workshop


All submissions will undergo a peer-review process to ensure a high standard of quality. Referees will consider originality, significance, technical 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:

Accepted submissions will be included in the ACM Digital Library as part of the IUI 2017 proceedings. In order for accepted papers to be included, at least one author should be registered ( and attend the workshop.


Graus, Mark –
Human-Technology Interaction Group
Eindhoven University of Technology (NL)

Ferwerda, Bruce –
Department of Computational Perception
Johannes Kepler University (AT)

Schedl, Markus –
Department of Computational Perception
Johannes Kepler University (AT)

Tkalcic, Marko –
Faculty of Computer Science
Free University of Bozen-Bolzano (IT)

Willemsen, Martijn –
Human-Technology Interaction Group
Eindhoven University of Technology (NL)

Germanakos, Panagiotis –
UX, Mobile & Business Services
P&I Industry Cloud & Custom Development
Department of Computer Science
University of Cyprus (CY)


  • Ardissono, Liliana (University of Turin)
  • Burke, Robin (DePaul University)
  • 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 (L3S Research Center)
  • Karapanos, Evangelos (Cyprus University of Technology)
  • Knees, Peter (Johannes Kepler University)
  • 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)
  • Zanker, Markus (Free University of Bozen-Bolzano)
  • Zhen, Yong (Illinois Institute of Technology)




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