• 09-12 June
  • Golden Bay Beach Hotel | Larnaca | Cyprus


HAAPIE : Human Aspects in Adaptive and Personalized Interactive Environments


The vision of HAAPIE 2019 workshop is to bring more inclusively the “human-in-the-loop” in UMAP for increasing the usability, user experience and overall quality of systems and interactions. State-of-the-art approaches in adaptation and personalization research that consider information regarding the “traditional” user characteristics (i.e., experience, knowledge, interests, context), and related contextual or technology aspects (i.e., displays, connectivity, processing power) have shown significant improvements and benefits to the end-users. However, there is an urgent need for a step change in user modeling and adaptation that considers human aspects thoroughly, producing more holistic human-centered adaptation and personalization theories and practices. This requires broadening the scope including intrinsic human characteristics and abilities, such as perceptual, personality, visual, cognitive, and emotional factors as well as other diversity parameters ranging from more recognizable user characteristics, such as age, culture, status, to more inherent ones, such as motivation, self-actualization, and socio-cultural behavior. Accordingly, main goal of HAAPIE 2019 is to bring together researchers and practitioners working in the areas of human aspects in adaptation and personalization to shape new human-centered adaptive interactive environments and personalized platforms that can contribute towards viable long-term solutions.


Panagiotis Germanakos, SAP SE & University of Cyprus, Cyprus
Vania Dimitrova, University of Leeds, UK
Ben Steichen, California State Polytechnic University, Pomona, USA 
Alicja Piotrkowicz, University of Leeds, UK

WEB-SITE LINK : http://haapie.cs.ucy.ac.cy

ExHUM : Explainable and Holistic User Modeling


ExHUM workshop focuses on Transparent Personalization Methods based on Heterogeneous and Personal Data, and aims to investigate two different research lines: (1) How to implement effective personalization and adaptation strategies based on the merge of low-level personal information and high-level textual and social data – (2) How to guarantee transparency and explainability of user modeling, personalization and adaptation processes.


Cataldo Musto, University of Bari
Amon Rapp, University of Torino
Federica Cena, University of Torino
Frank Hopfgartner ,University of Glasgow
Judy Kay, University of Sydney
Aonghus Lawlor, University College Dublin
Pasquale Lops, University of Bari
Giovanni Semeraro, University of Bari
Nava Tintarev, Delft University of Technology

WEB-SITE LINK : http://exhum19.wordpress.com

FairUMAP : Fairness in User Modeling, Adaptation and Personalization


Machine learning, recommender systems, and user modeling are key enabling technologies used in personalized intelligent systems. However, there has been a growing recognition that these underlying technologies raise novel ethical, policy, and legal challenges. System properties such as fairness, transparency, balance, openness to diversity, and other social welfare considerations are not always captured by typical metrics based on which data-driven personalized models are optimized. Bias, fairness, and transparency in machine learning are topics of considerable recent research interest. However, more work is needed to expand and extend this work into algorithmic and modeling approaches where user modeling and personalization is of primary importance. In particular, it is essential to address these challenges from the standpoint understanding stereotypes in users’ behavior and their influence on user or group decisions. The workshop aims to bring together a growing community of experts from academia and industry to discuss ethical, social, and legal concerns related to personalization and user modeling with the goal of exploring a variety of mechanisms and modeling approaches that help mitigate bias and achieve fairness in personalized systems.


Bamshad Mobasher, DePaul University, USA
Robin Burke, University of Colorado, Boulder, USA
Michael Ekstrand, Boise State University, USA
Bettina Berendt, KU Leuven, Belgium
Styliani Kleanthous, Open University of Cyprus
Tsvi Kuflik, University of Haifa, Israel
Jahna Otterbacher, University of Michigan at Ann Arbor, USA
Alan Hartman, University of Haifa, Israel
Veronika Bogina, University of Haifa, Israel

WEB-SITE LINK : https://fairumap.wordpress.com/

ADAPPT : Adaptive and Personalized Persuasive Technology


Persuasive technologies are increasingly being used to bring about behavior change in various domains of human endeavor, including health, education, commerce, energy conservation, safety, etc. However, research on personalizing and adapting them to their target users, in order for them to be more effective, is still in its infancy. The 2019 ADAPPT workshop aims to bring together researchers and practitioners from academia and industry—working in the area of adapting and personalizing persuasive technologies—to present, discuss and share their work in progress with other members of the research community. Specifically, the workshop will provide a platform for stakeholders to brainstorm, identify and discuss the opportunities and challenges in the ADAPPT field as well as emerging techniques, methods and approaches to personalization and adaptation of persuasive technologies to the target users. The workshop will focus on diferrent areas of persuasive technology personalization and adaptation. They include, but are not limited to, user modeling, user interface adaptation, and personalization, computational personalized models, personalized persuasive technology design, implementation, and evaluation, etc. We invite submissions from the domain of persuasive technology and welcome papers from related areas such as Human-Computer Interaction (HCI) in the following—but not limited to—fields: health, education, sustainability, games, entertainment, art, commerce, social media, safety, and security


Kiemute Oyibo, University of Saskatchewan, Canada
Ifeoma Adaji, University of Saskatchewan, Canada
Rita Orji, Dalhousie University, Canada
Julita Vassileva, University of Saskatchewan, Canada

WEB-SITE LINK : https://adappt2019.wordpress.com

APPS : Adaptive and Personalized Privacy and Security


Recent privacy and security incidents of famous online services have once more underpinned the necessity towards further investigating and improving current approaches and practices related to the design of efficient and effective privacy and security. In order to achieve this objective, one possible direction is related to providing adaptive and personalized characteristics to privacy- and security-related user tasks, given the diversity of the user characteristics (like cultural, cognitive, age, habits), the technology (like standalone, mobile, mixed-virtual-augmented reality, wearables) and interaction contexts of use (like being on the move, social settings, spatial limitations). Hence, adaptive and personalized privacy and security implies the ability of an interactive system or service to support its end-users, who are engaged in privacy- and/or security-related tasks, based on user models which describe in a holistic way what constitutes the user’s physical, technological and interaction context in which computation takes place. APPS 2019 aims to bring together researchers and practitioners working on diverse topics related to understanding and improving the usability of privacy and security software and systems, by applying user modeling, adaptation and personalization principles.


Marios Belk, UCLan Cyprus, Cyprus
Christos Fidas, University of Patras, Greece
Elias Athanasopoulos, University of Cyprus, Cyprus
Andreas Pitsillides, University of Cyprus, Cyprus

WEB-SITE WORKSHOP LINK: http://appsworkshop.cs.ucy.ac.cy

EvalUMAP: Towards comparative evaluation in user modeling, adaptation and personalization


A significant challenge in the User Modelling, Adaptation and Personalization space is that of comparative evaluation. It has always been difficult to rigorously compare different approaches to personalization, as the function of the resulting systems is, by their nature, heavily influenced by the behaviour of the users involved in trialling the systems. Developing comparative evaluations in this space would be a huge advancement as it would enable shared comparison across research, which to-date has been very limited. The two previous iterations of the EvalUMAP workshop have created a platform for this topic to be discussed and advanced. In this the 3rd EvalUMAP workshop, final steps towards shared challenge generation will be made.


Liadh Kelly, Maynooth University, Ireland 
Bilal Yousuf, Trinity College Dublin, Ireland 

Owen Conlan, Trinity College Dublin, Ireland 
Kevin Koidl, Trinity College Dublin, Ireland 
Séamus Lawless, Trinity College Dublin, Ireland

WEB-SITE LINK: http://evalumap.adaptcentre.ie

PATCH: Personalized access to Cultural Heritage


Following the successful series of PATCH workshops, PATCH 2019 will be again the meeting point between state of the art cultural heritage research and personalization – using any kind of technology, while focusing on ubiquitous and adaptive scenarios, to enhance the personal experience in cultural heritage sites. The workshop is aimed at bringing together researchers and practitioners who are working on various aspects of cultural heritage and are interested in exploring the potential of state of the art of mobile technology (onsite as well as online) to enhance the CH visit experience. The expected result of the workshop is a multidisciplinary research agenda that will inform future research directions and hopefully, forge some research collaborations.


Liliana Ardissono, University of Torino, Italy
Cristina Gena, University of Torino, Italy
Tsvi Kuflik, University of Haifa, Israel
Noemi Mauro, University of Torino, Italy

WEB-SITE LINK: http://patch2019.di.unito.it/