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User Modeling and User-Adapted Interaction

The Journal of Personalization Research

Publishing model:

Overview

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.

Editor-in-Chief
  • Judith Masthoff
Impact factor
3.0 (2023)
5 year impact factor
4.3 (2023)
Submission to first decision (median)
18 days
Downloads
226,192 (2023)

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Journal information

Electronic ISSN
1573-1391
Print ISSN
0924-1868
Abstracted and indexed in
  1. ACM Digital Library
  2. ANVUR
  3. BFI List
  4. Baidu
  5. CLOCKSS
  6. CNKI
  7. CNPIEC
  8. Current Contents/Engineering, Computing and Technology
  9. DBLP
  10. Dimensions
  11. EBSCO
  12. EI Compendex
  13. Google Scholar
  14. INSPEC
  15. Japanese Science and Technology Agency (JST)
  16. Naver
  17. OCLC WorldCat Discovery Service
  18. Portico
  19. ProQuest
  20. PsycINFO
  21. SCImago
  22. SCOPUS
  23. Science Citation Index Expanded (SCIE)
  24. TD Net Discovery Service
  25. UGC-CARE List (India)
  26. WTI AG
  27. Wanfang
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