User Modeling and User-Adapted Interaction Q1 Unclaimed

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 modelsconceptual models and user stereotypes for personalizationstudent modeling and adaptive learningmodels of groups of usersuser model driven personalised information discovery and retrievalrecommender systemsadaptive user interfaces and agentsadaptation for accessibility and inclusiongeneric user modeling systems and toolsinteroperability of user modelspersonalization in areas such as affective computingubiquitous and mobile computinglanguage based interactionsmulti-modal interactionsvirtual and augmented realitysocial media and the Webhuman-robot interactionbehaviour change interventionspersonalized 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-securityprivacy, accountability, and security of information for personalizationresponsible adaptation: fairness, accountability, explainability, transparency and controlmethods for the design and evaluation of user models and adaptive systemsIn 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.

Categories: Computer Science Applications (Q1) Education (Q1) Human-Computer Interaction (Q1)

Price

2290 €

Inmediate OA

NPD

Embargoed OA

0 €

Non OA