Aims and scope

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.