User Modeling and User-Adapted Interaction

Papers
(The H4-Index of User Modeling and User-Adapted Interaction is 17. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2022-07-01 to 2026-07-01.)
ArticleCitations
Sandra Carberry, in memoriam158
Influence of Device Performance and Agent Advice on User Trust and Behaviour in a Care-taking Scenario109
Learner models: design, components, structure, and modelling62
Recommending on graphs: a comprehensive review from a data perspective43
Persuasion-enhanced computational argumentative reasoning through argumentation-based persuasive frameworks40
Generalisable sensor-free frustration detection in online learning environments using machine learning38
Design, development, and evaluation of an interactive personalized social robot to monitor and coach post-stroke rehabilitation exercises30
Deep adversarial group recommendation with user feature space separation29
Informative representations for forgetting-robust knowledge tracing28
Investigating different recommender algorithms in the domain of physical activity recommendations: a longitudinal between-subjects user study25
Exploring the added effect of three recommender system techniques in mobile health interventions for physical activity: a longitudinal randomized controlled trial21
Preface to the special issue on conversational recommender systems: theory, models, evaluations, and trends21
Correction: Twenty-Five Years of Bayesian knowledge tracing: a systematic review20
Preface on the special issue on group recommender systems19
Ensuring accuracy and fairness: a de-biasing framework for sequential recommendation19
Preface to the special issue on personalization and adaptation in human–robot interactive communication18
Balancing exploitation and exploration: how preference characteristics influence users' evaluation of Spotify's Discover Weekly18
Intra-list similarity and human diversity perceptions of recommendations: the details matter17
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