User Modeling and User-adapted Interaction - Impact Factor

User Modeling and User-adapted Interaction - Springer Nature | 2024 Impact Factor:3.5 | Cite Score:7.8 | Q1

User Modeling and User-adapted Interaction Journal

Impact Factor and Journal Rank of User Modeling and User-adapted Interaction

About: User Modeling and User-Adapted Interaction (UMUAI), published by Springer Nature, is a premier interdisciplinary journal dedicated to publishing high-quality research on the theory, design, and applications of systems that adapt to users or user models. The journal focuses on the personalization and adaptive interaction in various technological contexts, aiming to enhance user experience and system effectiveness through tailored interactions.
Objective:
The primary objective of UMUAI is to advance the understanding and development of user modeling and adaptive interaction technologies. The journal seeks to publish original research articles, comprehensive review papers, and innovative application reports that explore the creation, evaluation, and implementation of personalized systems. UMUAI aims to support the growth of knowledge and practical insights in the field, fostering the development of effective and user-friendly adaptive systems.
Interdisciplinary Focus:
UMUAI encourages interdisciplinary research that integrates concepts from computer science, cognitive psychology, artificial intelligence, human-computer interaction, and information science. The journal covers a wide range of topics including user modeling techniques, adaptive hypermedia, personalized information retrieval, recommendation systems, and adaptive educational systems. By promoting cross-disciplinary collaboration, UMUAI seeks to address the diverse challenges and opportunities in creating adaptive and personalized technologies.
Peer Review and Publication:
Submissions to UMUAI undergo a rigorous peer-review process to ensure the publication of high-quality and impactful research. The journal is committed to academic excellence and provides a platform for innovative and evidence-based studies. By maintaining high standards, UMUAI aims to contribute significantly to the field knowledge base and influence the practice of designing adaptive systems.
Impact and Innovation:
UMUAI evaluates contributions based on their potential to impact the field of user modeling and adaptive interaction and their innovative approaches to system personalization. The journal seeks to highlight cutting-edge research and practical applications that demonstrate effective user adaptation and modeling techniques. By publishing significant findings, UMUAI aims to promote the adoption of best practices and inspire further research and development in the field.
Global Reach:
With an international readership and a diverse group of contributors, UMUAI facilitates global collaboration and the exchange of knowledge in the field of user-adapted interaction. The journal serves as a critical resource for researchers, developers, and practitioners worldwide, providing insights into the latest trends, technologies, and methodologies in user modeling and adaptive systems. UMUAI global perspective ensures that it addresses the needs and interests of a wide audience, fostering a more connected and informed community in the field of user-adapted interaction.

Journal Home: Journal Homepage

Editor-in-Chief: Judith Masthoff

Scope: User Modeling and User-adapted Interaction Journal is published by Springer Nature and focuses on:
1. User Modeling:
Techniques and methodologies for creating and maintaining user models.
2. Adaptive Systems:
Research on systems that adapt their behavior based on user models.
3. Personalization:
Methods for personalizing content and interfaces to individual users.
4. Human-Computer Interaction:
Studies on the interaction between humans and adaptive systems.
5. Artificial Intelligence:
AI techniques applied to user modeling and adaptive interaction.
6. Data Mining and Machine Learning:
Utilizing data mining and machine learning for user modeling and adaptation.
7. User Experience:
Evaluations and studies on the user experience with adaptive systems.