APPS
Title of the workshop:
APPS: Adaptive and Personalized Privacy and Security
List of organizers:
- Argyris Constantinides, University of Cyprus & Cognitive UX LTD, Cyprus
- Marios Belk, Cognitive UX GmbH, Heidelberg, Germany
- Christos Fidas, University of Patras, Greece
- Juliana Bowles, University of St. Andrews, UK
- Andreas Pitsillides, University of Cyprus, Cyprus
Abstract:
Adaptive and personalized privacy and security in the context of interactive systems reflects the support such systems provide to end-users engaged in privacy- and/or security-related tasks. They require an understanding of user models, which capture holistically the users’ physical characteristics (e.g., cultural, cognitive, age, habits), technology (e.g., standalone, mobile, mixed-virtual-augmented reality, wearables), and their interaction context (e.g., being on the move, social settings, spatial limitations). APPS 2022 aims to bring together researchers and practitioners working on diverse topics related to understanding and improving the usability of privacy and security systems, by applying user modeling, adaptation and personalization principles. Our special focus in 2022 will be on the security and privacy of remote activities (e.g., remote work environments, distance learning) related to the Covid-19 outbreak. Additionally, we will introduce a dedicated invited session from EU-funded projects that focus on the security and privacy of data within the healthcare and education domains (e.g., H2020 Serums, Erasmus+ TRUSTID).
Website:
http://appsworkshop.cs.ucy.ac.cy/
CAESAR
Title of the workshop:
Third International Workshop on Adapted intEraction with SociAl Robots (cAESAR)
List of organizers:
- Berardina (Nadja) De Carolis, University of Bari, Italy
- Cristina Gena, University of Torino, Italy
- Antonio Lieto, University of Torino, Italy
- Silvia Rossi, University of Napoli Federico II, Italy
- Alessandra Sciutti, Italian Institute of Technology, Genova, Italy
Abstract:
Human Robot Interaction (HRI) is a field of study dedicated to understanding, designing, and evaluating robotic systems for use by, or with, humans (Goodrich, 2007). In HRI there is a consensus about the design and implementation of robotic systems that should be able to adapt their behavior on the basis of user actions and behavior. The robot should adapt to emotions, personalities, and it should also have a memory of past interactions with the user in order to become believable. This is of particular importance in the field of social robotics and social HRI. The aim of this Workshop is to bring together researchers and practitioners who are working on various aspects of social robotics and adaptive interaction. The expected result of the workshop is a multidisciplinary research agenda that will inform future research directions and hopefully, forge some research collaborations
Website:
https://caesar2022.di.unito.it/index.html
ExUM
Title of the workshop:
ExUM 2022 – Explainable User Modeling and Personalized Systems
List of organizers:
- Cataldo Musto, University of Bari Aldo Moro, Italy
- Amra Delic, University of Sarajevo, Bosnia and Herzegovina
- Oana Inel, University of Zurich, Switzerland, Italy
- Marco Polignano, University of Bari, Italy
- Amon Rapp, University of Turin, Turin, Italy
- Giovanni Semeraro, University of Bari, Italy
- Jürgen Ziegler, University of Duisburg-Essen, Germany
Abstract:
Adaptive and personalized systems have become pervasive technologies which are gradually playing an increasingly important role in our daily lives. Indeed, we are now used to interact every day with algorithms that help us in several scenarios, ranging from services that suggest us music to be listened to or movies to be watched, to personal assistants able to proactively support us in complex decision-making tasks. As the importance of such technologies in our everyday lives grows, it is fundamental that the internal mechanisms that guide these algorithms are as clear as possible. Unfortunately, the current research tends to go in the opposite direction, since most of the approaches try to maximize the effectiveness of the personalization strategy (e.g., recommendation accuracy) at the expense of the explainability and the transparency of the model. Several research lines are triggered by this question: building scrutable user models and transparent al-gorithms, analyzing the impact of opaque algorithms on final users, studying the role of explanation strategies, investigating how to provide users with more control in the personalization and adaptation problems. The workshop aims to provide a forum for discussing such problems, challenges and innovative research approaches in the area, by investigating the role of transparency and explainability on the recent methodologies for building user models or for developing personalized and adaptive systems.
Website:
http://www.di.uniba.it/~swap/exum
FairUMAP
Title of the workshop:
Fairness in User Modeling, Adaptation and Personalization (FairUMAP 2022)
List of organizers:
- Bamshad Mobasher, DePaul University, USA
- Styliani Kleanthous, Open University of Cyprus
- Bettina Berendt, TU Berlin, Weizenbaum Institute and KU Leuven, Belgium
- Jahna Otterbacher, Open University of Cyprus
- Robin Burke, University of Colorado, Boulder, USA
- Tsvi Kuflik, University of Haifa, Israel
- Avital Shulner Tal, University of Haifa, Israel
- Nasim Sonboli, University of Colorado, Boulder, USA
Abstract:
Personalization has become a ubiquitous and essential part of systems that help users find relevant information in today’s highly complex information-rich online environments. Machine learning, recommender systems, and user modeling are key enabling technologies that allow intelligent systems to learn from users and adapt their output to users’ needs and preferences. However, there has been a growing recognition that these underlying technologies raise novel ethical, legal, and policy challenges. It has become apparent that a single-minded focus on the user preferences has obscured other important and beneficial outcomes such systems must be able to deliver. System properties such as fairness, transparency, balance, openness to diversity, and other social welfare considerations are not captured by typical metrics based on which data-driven personalized models are optimized. Indeed, widely-used personalization systems in such popular sites such as Facebook, Google News and YouTube have been heavily criticized for personalizing information delivery too heavily at the cost of these other objectives. 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 personalization and user modeling are of primary importance. In particular, it is essential to address these challenges from the standpoint of understanding stereotypes in users’ behaviors and their influence on user or group decisions. The 5th Workshop on Fairness in User Modeling, Adaptation, and Personalization aims to bring together 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.
Website:
https://fairumap.wordpress.com/
GMAP
Title of the workshop:
GMAP 2022: Workshop on Group Modeling, Adaptation and Personalization
List of organizers:
- Federica Lucia Vinella, Utrecht University, Netherlands
- Amra Delić, University of Sarajevo, Bosnia and Herzegovina
- Francesco Barile, Maastricht University, Netherlands
- Ioanna Lykourentzou, Utrecht University, Netherlands
- Judith Masthoff, Utrecht University, Netherlands
Abstract:
Group modeling adaptation and personalization is an area explored in parallel by two different research communities. On the one side, the user modeling community focuses on the preferences aggregation problem: how to combine preferences of individuals in a group so as to personalize, adapt, and explain content for this group to consume or experience? On the other side, the computer-supported collaboration community focuses on the group formation problem: how to construct a group that will work together efficiently to solve a particular task? This area becomes increasingly significant as work becomes more flexible, online, and distributed. The connecting tissue between both communities is the urgent need to design algorithms, whether for recommending group content or group formations, that steer away from top-down algorithmic decision-making, which has proven to stifle user agency and create power inequalities between users and algorithms. The aim of the workshop is, for the first time, to bring together the two communities working on the two sides of Group Recommendations, inviting academics and researchers to share their contributions, work-in-progress and latest research results with an overall goal to rethink group recommendation and shift paradigms from the current algorithm-centric to user- and group-centric focus.
Website:
https://sites.google.com/view/gmap2022
HAAPIE
Title of the workshop:
7th International Workshop on Human Aspects in Adaptive and Personalized Interactive Environments – HAAPIE 2022
List of organizers:
- Panagiotis Germanakos, SAP SE, DE
- Vania Dimitrova, University of Leeds, UK
- Ben Steichen, California State Polytechnic University, Pomona, USA
- Bruce Ferwerda, Jönköping University, SE
- Marko Tkalcic, University of Primorska in Koper, SI
Abstract:
The vision of HAAPIE 2022 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, the main goal of HAAPIE 2022 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.
Website:
PATCH
Title of the workshop:
The 13th International Workshop on Personalized Access to Cultural Heritage (PATCH 2022) – Towards Hybrid CH Experience
List of organizers:
- TSVI (TSVIKA) KUFLIK, The University of Haifa, Israel
- NOEMI MAURO, University of Torino, Italy
- GEORGE E. RAPTIS, Human Opsis, Greece
- ALAN J. WECKER, The University of Haifa, Israel
Abstract:
Following the successful series of PATCH workshops, PATCH 2022 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. This year, the workshop will focus specifically on the impact of COVID-19 on CH – the introduction of virtual and hybrid visits to CH sites. The workshop is aimed at bringing together, physically and/or virtually, researchers and practitioners who are working on various aspects of cultural heritage and are interested in exploring the potential of state of the art mobile technology (onsite as well as online) to enhance the CH visit experience. The expected result of the workshop is a sharing and discussing novel ideas and creating a multidisciplinary research agenda that will inform future research directions and hopefully, forge some research collaborations.