OOIR: Observatory of International Research

Papers

(The median citation count of User Modeling and User-Adapted Interaction is 4. 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 2021-10-01 to 2025-10-01.)

Article	Citations
Influence of Device Performance and Agent Advice on User Trust and Behaviour in a Care-taking Scenario	100
Persuasion-enhanced computational argumentative reasoning through argumentation-based persuasive frameworks	51
Recommending on graphs: a comprehensive review from a data perspective	50
An adaptive decision-making system supported on user preference predictions for human–robot interactive communication	44
Generalisable sensor-free frustration detection in online learning environments using machine learning	39
Theory-based habit modeling for enhancing behavior prediction in behavior change support systems	34
Design, development, and evaluation of an interactive personalized social robot to monitor and coach post-stroke rehabilitation exercises	25
Investigating different recommender algorithms in the domain of physical activity recommendations: a longitudinal between-subjects user study	24
Deep adversarial group recommendation with user feature space separation	24
Informative representations for forgetting-robust knowledge tracing	24
Correction: Twenty-Five Years of Bayesian knowledge tracing: a systematic review	23
Exploring the added effect of three recommender system techniques in mobile health interventions for physical activity: a longitudinal randomized controlled trial	21
Preface to the special issue on conversational recommender systems: theory, models, evaluations, and trends	21
Preface on the special issue on group recommender systems	20
Ensuring accuracy and fairness: a de-biasing framework for sequential recommendation	19
Preface to the special issue on personalization and adaptation in human–robot interactive communication	18
Acknowledgment to reviewers	16
Effects and challenges of using a nutrition assistance system: results of a long-term mixed-method study	15
Intra-list similarity and human diversity perceptions of recommendations: the details matter	14
User-centered personalized gamification: an umbrella review	14
Gaze-based predictive models of deep reading comprehension	13
Generating predicate suggestions based on the space of plans: an example of planning with preferences	13
Example, nudge, or practice? Assessing metacognitive knowledge transfer of factual and procedural learners	13
TriDeepRec: a hybrid deep learning approach to content- and behavior-based recommendation systems	12
Digitally nudging users to explore off-profile recommendations: here be dragons	10

Non-binary evaluation of next-basket food recommendation	10
Safe, effective and explainable drug recommendation based on medical data integration	10
Enhancing user awareness on inferences obtained from fitness trackers data	10
Fair performance-based user recommendation in eCoaching systems	9
A bias detection tree approach for detecting disparities in a recommendation model’s errors	8
EvoRecSys: Evolutionary framework for health and well-being recommender systems	8
An adaptive Metalearner-based flow: a tool for reducing anxiety and increasing self-regulation	8
An explainable content-based approach for recommender systems: a case study in journal recommendation for paper submission	8
One size does not fit all: detecting attention in children with autism using machine learning	8
Connecting physical activity with context and motivation: a user study to define variables to integrate into mobile health recommenders	8
A human-centered decentralized architecture and recommendation engine in SIoT	8
Personalized recommendations for learning activities in online environments: a modular rule-based approach	8
An overview of consensus models for group decision-making and group recommender systems	7
Adapting approaching proxemics of a service robot based on physical user behavior and user feedback	7
Enhancing a student productivity model for adaptive problem-solving assistance	6
Generating explanations for knowledge-aware conversational recommendation systems	6
Modeling the phases of rule learning during problem solving with an interactive learning environment	6
A Bayesian framework for learning proactive robot behaviour in assistive tasks	6
Online convex combination of ranking models	6
Improving session-based recommendation with contrastive learning	6
Improving selection diversity using hybrid graph-based news recommenders	6
Embarrassingly shallow auto-encoders for dynamic collaborative filtering	5
Personalized home-care support for the elderly: a field experience with a social robot at home	5
The engage taxonomy: SDT-based measurable engagement indicators for MOOCs and their evaluation	5
Use of topical and temporal profiles and their hybridisation for content-based recommendation	5
“Knowing me, knowing you”: personalized explanations for a music recommender system	5
Clustering of conversational bandits with posterior sampling for user preference learning and elicitation	5
Cognitive personalization for online microtask labor platforms: A systematic literature review	5
Physiology-based personalization of persuasive technology: a user modeling perspective	5
Emotional intelligence and individuals’ viewing behaviour of human faces: a predictive approach	4
A novel group recommender system for domain-independent decision support customizing a grouping genetic algorithm	4
James Chen Annual Award for Best Journal Article	4
What we see is what we do: a practical Peripheral Vision-Based HMM framework for gaze-enhanced recognition of actions in a medical procedural task	4
Using latent variable models to make gaming-the-system detection robust to context variations	4
Automatically detecting task-unrelated thoughts during conversations using keystroke analysis	4
A contrastive self-supervised learning method for source-free EEG emotion recognition	4
Fairness in recommender systems: research landscape and future directions	4
Solving the imbalanced data issue: automatic urgency detection for instructor assistance in MOOC discussion forums	4
Preface to the special issue on news personalization and analytics	4
Rank-sensitive proportional aggregations in dynamic recommendation scenarios	4
Modeling users’ heterogeneous taste with diversified attentive user profiles	4
An automated system recommending background music to listen to while working	4
Examining the merits of feature-specific similarity functions in the news domain using human judgments	4
SNRBERT: session-based news recommender using BERT	4
Validating Motives of Autonomous Players (MAP) inventory: a bottom-up model of general motivational factors to videogame play	4
Justification of recommender systems results: a service-based approach	4