We welcome submissions related to *user modeling, personalization, and adaptation in any area*. The topics listed below are not intended to limit possible contributions. **Detailed descriptions and the suggested topics for each track are reported in the online version of the CFP on the UMAP 2022 web site.**
### **Personalized Recommender Systems**
**Track Chairs: Osnat Mokryn (University of Haifa), Eva Zangerle (University of Innsbruck, Austria) and Markus Zanker (University of Bolzano, Italy, and University of Klagenfurt, Austria)**

(*) This is a joint track between ACM UMAP and ACM Hypertext (same track chairs, overlapping PC). Authors planning to contribute to this track can submit to either conference, depending on their broader interest in either Hypertext or UMAP. Track chairs organize a special issue in the journal New Review of Hypermedia and Multimedia.

This track aims to provide a forum for researchers and practitioners to discuss open challenges, the latest solutions, and novel research approaches in the field of recommender systems. In addition to mature research works addressing technical aspects pertaining to recommendations, we also particularly welcome research contributions that address questions related to user perception and the business value of recommender systems.
### **Adaptive Hypermedia, Semantic, and Social Web**
**Track Chairs: Alexandra I. Cristea (Durham University, UK) and Peter Brusilovsky (University of Pittsburgh, US)**

This track aims to provide a forum to researchers to discuss open research problems, solid solutions, the latest challenges, novel applications, and innovative research approaches in adaptive hypermedia, semantic and social web. We invite original submissions addressing all aspects of personalization, user models building, and personal experience in online social systems.
### **Intelligent User Interfaces**
**Track chairs: Elisabeth Lex (Graz University of Technology, Austria) and Marko Tkalcic (University of Primorska, Slovenia)**

This topic can be characterized by exploring how to make the interaction between computers and people smarter and more productive, which may leverage solutions from human-computer interaction, data mining, natural language processing, information visualization, and knowledge representation and reasoning.
### **Technology-Enhanced Adaptive Learning**
**Track chairs: Judy Kay (University of Sydney, Australia) and Sharon Hsiao (Santa Clara University, US)**

This track invites researchers, developers, and practitioners from various disciplines to present their innovative learning solutions, share acquired experiences, and discuss their modeling challenges for personalized adaptive learning.
### **Fairness, Transparency, Accountability, and Privacy**
**Track chairs: Bamshad Mobasher (DePaul University College of Computing and Digital Media, US) and Munindar P. Singh (NC State University, US)**

Adaptive systems researchers and developers have a social responsibility to care about the impact of their technologies on individual people (users, providers, and other stakeholders) and on society. This track invites work that pertains to the science of building, maintaining, evaluating, and studying adaptive systems that are fair, transparent, respectful of users’ privacy, and beneficial to society.
### **Personalization for Persuasive and Behavior Change Systems**
**Track chairs: Julita Vassileva (University of Saskatchewan, Canada) and Panagiotis Germanakos (SAP SE, Germany)**

This track invites original submissions addressing the areas of personalization and tailoring for persuasive technologies, including but not limited to personalization models, user models, computational personalization, design and evaluation methods, and personal experience designing personalized and adaptive behaviour change technologies.
### **Virtual Assistants and Personalized Human-robot Interaction**
**Track chairs: Radhika Garg (Syracuse University, US) and Cristina Gena (University of Torino, Italy)**

This track aims at investigating new models and techniques for the adaptation of synthetic companions (e.g., virtual assistants, chatbots, social robots) to the individual user.
### **Research Methods and Reproducibility**
**Track chairs: Odd Erik Gundersen (Norwegian University of Science and Technology, Norway) and Dietmar Jannach (University of Klagenfurt, Austria)**

This track accepts works on methodologies for the evaluation of personalized systems, benchmarks, measurement scales, with particular attention to the reproducibility of results and of techniques.

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**SUBMISSION AND REVIEW PROCESS**
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Please consult the conference website for the submission link: http://www.um.org/umap2022/.

The maximum length is **14 pages (excluding references) in the ACM new single-column format**. We encourage papers of any length up to 14 pages; reviewers will be asked to comment on whether the length is appropriate for the contribution.

**Additional review criteria are available in the online version of the CFP on the UMAP 2022 web site.**

Each accepted paper will be included in the conference proceedings and presented at the conference.

UMAP uses a **double-blind** review process. Authors must omit their names and affiliations from submissions, and avoid obvious identifying statements. For instance, citations to the authors' own prior work should be made in the third person. Failure to anonymize your submission results in the desk rejection of your paper.

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**ORGANIZERS**
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**General chairs**

* Ludovico Boratto, University of Cagliari, Italy
* Alejandro Bellogín, Universidad Autónoma de Madrid, Spain
* Olga C. Santos, Spanish National University for Distance Education, Spain

**Program Chairs**
- Liliana Ardissono, University of Torino, Italy
- Bart Knijnenburg, Clemson University, US

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**RELATED EVENTS**
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Separate calls will be sent for Workshops and Tutorials, Doctoral Consortium, and Demo/Late-Breaking Results, as these have different deadlines and submission requirements.

Nasim Sonboli (Researcher, University of Colorado Boulder), Helma Torkamaan (Researcher, University of Duisburg-Essen, Germany)

UMAP'22 Publicity Chairs