Springer

User Modeling And User-Adapted Interaction

(ISSN 1573-1391)

User Modeling and User-Adapted Interaction provides an interdisciplinary forum for the dissemination of novel and significant original research results about interactive computer systems that can adapt themselves to their users, and on the design, use, and evaluation of user models for adaptation. The journal publishes high-quality original papers from, e.g., the following areas:

acquisition and formal representation of user models, including modeling of affect, personality, knowledge, expertise, interests, preferences, attitudes, goals, plans, culture, relationships and mental models

conceptual models and user stereotypes for personalization

student modeling and adaptive learning

models of groups of users

user model driven personalised information discovery and retrieval

recommender systems

adaptive user interfaces and agents

adaptation for accessibility and inclusion

generic user modeling systems and tools

interoperability of user models

personalization in areas such as

affective computing

ubiquitous and mobile computing

language based interactions

multi-modal interactions

virtual and augmented reality

social media and the Web

human-robot interaction

behaviour change interventions

personalized applications in specific domains, such as: health, mobility, vehicular operation, news, workplace, consumer electronics, e-commerce and retail, cultural heritage, tourism, smart cities, games, cyber-security

privacy, accountability, and security of information for personalization

responsible adaptation: fairness, accountability, explainability, transparency and control

methods for the design and evaluation of user models and adaptive systems

In addition to papers from Computer Science, relevant papers from the fields of Psychology, Linguistics, Information Systems, Information Science, Education, Rehabilitation and Medicine are also considered if they have implications for the design of computer systems. The journal mainly publishes empirical research papers. Theoretical proposals should normally be appropriately substantiated, e.g., by empirical results, by an analytical discussion of the results of a computer implementation, or in very rare cases by a formal analysis.

The central audience of the journal are researchers, students and industrial practitioners from the following areas: Adaptive Systems, Human-Computer Interaction, Artificial Intelligence, the Instructional Sciences, Information Systems, Linguistics, and the Information Sciences.