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# **30th ACM Conference on User Modeling, Adaptation and Personalization (UMAP ’22)**

Barcelona*, Spain, July 4–7, 2022


(*) Due to the ongoing COVID-19 pandemic, we are planning for a hybrid conference and will accommodate online presentations where needed.

Submission Deadline:
- Abstracts due:  February 10, 2022 (mandatory)
- Full paper due: February 17, 2022


**ACM UMAP** – ***User Modeling, Adaptation and Personalization*** – is the premier international conference for researchers and practitioners working on systems that adapt to individual users or to groups of users, and that collect, represent, and model user information. **ACM UMAP** is sponsored by ACM SIGCHI (https://sigchi.org) and SIGWEB (https://www.sigweb.org), and organized with User Modeling Inc. (https://um.org) as the core Steering Committee, extended with past years’ chairs. The proceedings are published by the **ACM** and will be part of the ACM Digital Library (https://dl.acm.org).

**ACM UMAP** covers a wide variety of research areas where personalization and adaptation may be applied. The main theme of **UMAP 2022** is ***“User control in personalized systems”***. Specifically, we welcome submissions related to user modeling, personalization, and adaptation in all areas of personalized systems, with an emphasis on how to balance adaptivity and user control. Below we present a short (but not prescriptive) list of topics of importance to the conference.

ACM UMAP is co-located and collaborates with the ACM Hypertext conference (https://ht.acm.org/ht2022/). UMAP takes place one week after Hypertext, and uses the same submission dates and formats. We expect authors to submit research on personalized systems to UMAP and invite authors to submit their Web-related work without a focus on personalization to the Hypertext conference. The two conferences will organize one shared track on **personalized recommender systems** (same track chairs and PC, see the track description).

- Paper Abstracts:   February 10, 2022 (mandatory)
- Full paper:             February 17, 2022
- Notification:           April 11, 2022
- Conference:          July 4-July 7, 2022

**Note**: The submissions deadlines are at 11:59pm AoE time (Anywhere on Earth)

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, 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 the 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, 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 experience, 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 reproducibility of results and of techniques.

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.


**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

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

Helma Torkamaan

University of Duisburg-Essen
Interactive Systems Group

Room LF 288, Forsthausweg 2, 47057 Duisburg, GERMANY
helma.torkamaan@uni-due.de / +49 203 379-2276