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.

Journal information

Editor-in-Chief
  • Judith Masthoff
Publishing model
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Journal metrics

4.682 (2019)
Impact factor
5.383 (2019)
Five year impact factor
71 days
Submission to first decision
345 days
Submission to acceptance
77,745 (2019)
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Electronic ISSN
1573-1391
Print ISSN
0924-1868
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