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Persuasive strategies and emotional states: towards designing personalized and emotion-adaptive persuasive systems User Model. User-Adap. Inter. (IF 3.6) Pub Date : 2024-03-05 Oladapo Oyebode, Darren Steeves, Rita Orji
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Improving collaborative problem-solving skills via automated feedback and scaffolding: a quasi-experimental study with CPSCoach 2.0 User Model. User-Adap. Inter. (IF 3.6) Pub Date : 2024-02-14 Sidney K. D’Mello, Nicholas Duran, Amanda Michaels, Angela E. B. Stewart
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Informative representations for forgetting-robust knowledge tracing User Model. User-Adap. Inter. (IF 3.6) Pub Date : 2024-02-04 Zhiyu Chen, Zhilong Shan, Yanhua Zeng
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Twenty-Five Years of Bayesian knowledge tracing: a systematic review User Model. User-Adap. Inter. (IF 3.6) Pub Date : 2024-01-27 Šarić-Grgić Ines, Grubišić Ani, Gašpar Angelina
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Toward joint utilization of absolute and relative bandit feedback for conversational recommendation User Model. User-Adap. Inter. (IF 3.6) Pub Date : 2024-01-27
Abstract Conversational recommendation has been a promising solution for recent recommenders to address the cold-start problem suffered by traditional recommender systems. To actively elicit users’ dynamically changing preferences, conversational recommender systems periodically query the users’ preferences on item attributes and collect conversational feedback. However, most existing conversational
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Adaptive user interfaces in systems targeting chronic disease: a systematic literature review User Model. User-Adap. Inter. (IF 3.6) Pub Date : 2023-12-18 Wei Wang, Hourieh Khalajzadeh, John Grundy, Anuradha Madugalla, Jennifer McIntosh, Humphrey O. Obie
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Solving the imbalanced data issue: automatic urgency detection for instructor assistance in MOOC discussion forums User Model. User-Adap. Inter. (IF 3.6) Pub Date : 2023-12-01 Laila Alrajhi, Ahmed Alamri, Filipe Dwan Pereira, Alexandra I. Cristea, Elaine H. T. Oliveira
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What influences users to provide explicit feedback? A case of food delivery recommenders User Model. User-Adap. Inter. (IF 3.6) Pub Date : 2023-11-21 Matthew Haruyama, Kazuyoshi Hidaka
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Leveraging response times in learning environments: opportunities and challenges User Model. User-Adap. Inter. (IF 3.6) Pub Date : 2023-11-02 Radek Pelánek
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“Tell Me Why”: using natural language justifications in a recipe recommender system to support healthier food choices User Model. User-Adap. Inter. (IF 3.6) Pub Date : 2023-10-24 Alain D. Starke, Cataldo Musto, Amon Rapp, Giovanni Semeraro, Christoph Trattner
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Hybrid session-aware recommendation with feature-based models User Model. User-Adap. Inter. (IF 3.6) Pub Date : 2023-10-06 Josef Bauer, Dietmar Jannach
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Digitally nudging users to explore off-profile recommendations: here be dragons User Model. User-Adap. Inter. (IF 3.6) Pub Date : 2023-10-04 Gabrielle Alves, Dietmar Jannach, Rodrigo Ferrari de Souza, Daniela Damian, Marcelo Garcia Manzato
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Harnessing distributional semantics to build context-aware justifications for recommender systems User Model. User-Adap. Inter. (IF 3.6) Pub Date : 2023-09-25 Cataldo Musto, Giuseppe Spillo, Giovanni Semeraro
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An overview of consensus models for group decision-making and group recommender systems User Model. User-Adap. Inter. (IF 3.6) Pub Date : 2023-09-22 Thi Ngoc Trang Tran, Alexander Felfernig, Viet Man Le
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Cognitive personalization for online microtask labor platforms: A systematic literature review User Model. User-Adap. Inter. (IF 3.6) Pub Date : 2023-09-19 Dennis Paulino, António Correia, João Barroso, Hugo Paredes
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The engage taxonomy: SDT-based measurable engagement indicators for MOOCs and their evaluation User Model. User-Adap. Inter. (IF 3.6) Pub Date : 2023-08-12 Alexandra I. Cristea, Ahmed Alamri, Mohammed Alshehri, Filipe Dwan Pereira, Armando M. Toda, Elaine Harada T. de Oliveira, Craig Stewart
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Modeling users’ heterogeneous taste with diversified attentive user profiles User Model. User-Adap. Inter. (IF 3.6) Pub Date : 2023-08-01 Oren Barkan, Tom Shaked, Yonatan Fuchs, Noam Koenigstein
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Improving the understanding of web user behaviors through machine learning analysis of eye-tracking data User Model. User-Adap. Inter. (IF 3.6) Pub Date : 2023-07-31 Diana Castilla, Omar Del Tejo Catalá, Patricia Pons, François Signol, Beatriz Rey, Carlos Suso-Ribera, Juan-Carlos Perez-Cortes
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How do people make decisions in disclosing personal information in tourism group recommendations in competitive versus cooperative conditions? User Model. User-Adap. Inter. (IF 3.6) Pub Date : 2023-07-12 Shabnam Najafian, Geoff Musick, Bart Knijnenburg, Nava Tintarev
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Connecting physical activity with context and motivation: a user study to define variables to integrate into mobile health recommenders User Model. User-Adap. Inter. (IF 3.6) Pub Date : 2023-06-24 Ine Coppens, Toon De Pessemier, Luc Martens
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Evaluating explainable social choice-based aggregation strategies for group recommendation User Model. User-Adap. Inter. (IF 3.6) Pub Date : 2023-06-21 Francesco Barile, Tim Draws, Oana Inel, Alisa Rieger, Shabnam Najafian, Amir Ebrahimi Fard, Rishav Hada, Nava Tintarev
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One size does not fit all: detecting attention in children with autism using machine learning User Model. User-Adap. Inter. (IF 3.6) Pub Date : 2023-06-17 Bilikis Banire, Dena Al Thani, Marwa Qaraqe
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Persuasion-enhanced computational argumentative reasoning through argumentation-based persuasive frameworks User Model. User-Adap. Inter. (IF 3.6) Pub Date : 2023-06-19 Ramon Ruiz-Dolz, Joaquin Taverner, Stella M. Heras Barberá, Ana García-Fornes
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Non-binary evaluation of next-basket food recommendation User Model. User-Adap. Inter. (IF 3.6) Pub Date : 2023-06-15 Yue Liu, Palakorn Achananuparp, Ee-Peng Lim
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Emotional intelligence and individuals’ viewing behaviour of human faces: a predictive approach User Model. User-Adap. Inter. (IF 3.6) Pub Date : 2023-06-19 Hosam Al-Samarraie, Samer Muthana Sarsam, Ahmed Ibrahim Alzahrani
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Deep adversarial group recommendation with user feature space separation User Model. User-Adap. Inter. (IF 3.6) Pub Date : 2023-05-18 Jianwen Sun, Shangheng Du, Ruxia Liang, Xiaoxuan Shen, Qing Li, Sannyuya Liu, Zongkai Yang
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Using latent variable models to make gaming-the-system detection robust to context variations User Model. User-Adap. Inter. (IF 3.6) Pub Date : 2023-05-18 Yun Huang, Steven Dang, J. Elizabeth Richey, Pallavi Chhabra, Danielle R. Thomas, Michael W. Asher, Nikki G. Lobczowski, Elizabeth A. McLaughlin, Judith M. Harackiewicz, Vincent Aleven, Kenneth R. Koedinger
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Choice models and recommender systems effects on users’ choices User Model. User-Adap. Inter. (IF 3.6) Pub Date : 2023-05-18 Naieme Hazrati, Francesco Ricci
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Group recommender systems for tourism: how does personality predict preferences for attractions, travel motivations, preferences and concerns? User Model. User-Adap. Inter. (IF 3.6) Pub Date : 2023-05-15 Patrícia Alves, Helena Martins, Pedro Saraiva, João Carneiro, Paulo Novais, Goreti Marreiros
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Fairness in recommender systems: research landscape and future directions User Model. User-Adap. Inter. (IF 3.6) Pub Date : 2023-04-24 Yashar Deldjoo, Dietmar Jannach, Alejandro Bellogin, Alessandro Difonzo, Dario Zanzonelli
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A novel group recommender system for domain-independent decision support customizing a grouping genetic algorithm User Model. User-Adap. Inter. (IF 3.6) Pub Date : 2023-04-19 Akrivi Krouska, Christos Troussas, Cleo Sgouropoulou
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Influence of Device Performance and Agent Advice on User Trust and Behaviour in a Care-taking Scenario User Model. User-Adap. Inter. (IF 3.6) Pub Date : 2023-03-30 Ingrid Zukerman, Andisheh Partovi, Jakob Hohwy
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Recommending on graphs: a comprehensive review from a data perspective User Model. User-Adap. Inter. (IF 3.6) Pub Date : 2023-03-13 Lemei Zhang, Peng Liu, Jon Atle Gulla
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Design, development, and evaluation of an interactive personalized social robot to monitor and coach post-stroke rehabilitation exercises User Model. User-Adap. Inter. (IF 3.6) Pub Date : 2023-03-11 Min Hun Lee, Daniel P. Siewiorek, Asim Smailagic, Alexandre Bernardino, Sergi Bermúdez i Badia
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Clustering of conversational bandits with posterior sampling for user preference learning and elicitation User Model. User-Adap. Inter. (IF 3.6) Pub Date : 2023-03-06 Qizhi Li, Canzhe Zhao, Tong Yu, Junda Wu, Shuai Li
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Use of topical and temporal profiles and their hybridisation for content-based recommendation User Model. User-Adap. Inter. (IF 3.6) Pub Date : 2023-01-23 Luis M. de Campos, Juan M. Fernández-Luna, Juan F. Huete
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Enhancing user awareness on inferences obtained from fitness trackers data User Model. User-Adap. Inter. (IF 3.6) Pub Date : 2023-01-17 Alexia Dini Kounoudes, Georgia M. Kapitsaki, Ioannis Katakis
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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 User Model. User-Adap. Inter. (IF 3.6) Pub Date : 2023-01-04 Felix S. Wang, Thomas Kreiner, Alexander Lutz, Quentin Lohmeyer, Mirko Meboldt
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Intra-list similarity and human diversity perceptions of recommendations: the details matter User Model. User-Adap. Inter. (IF 3.6) Pub Date : 2022-12-12 Mathias Jesse, Christine Bauer, Dietmar Jannach
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How do item features and user characteristics affect users’ perceptions of recommendation serendipity? A cross-domain analysis User Model. User-Adap. Inter. (IF 3.6) Pub Date : 2022-12-01 Ningxia Wang, Li Chen
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A dichotomic approach to adaptive interaction for socially assistive robots User Model. User-Adap. Inter. (IF 3.6) Pub Date : 2022-11-17 Riccardo De Benedictis, Alessandro Umbrico, Francesca Fracasso, Gabriella Cortellessa, Andrea Orlandini, Amedeo Cesta
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Gaze-based predictive models of deep reading comprehension User Model. User-Adap. Inter. (IF 3.6) Pub Date : 2022-11-17 Rosy Southwell, Caitlin Mills, Megan Caruso, Sidney K. D’Mello
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Research directions in recommender systems for health and well-being User Model. User-Adap. Inter. (IF 3.6) Pub Date : 2022-11-14 Hanna Hauptmann, Alan Said, Christoph Trattner
Recommender systems have been put to use in the entertainment and e-commerce domains for decades, and in these decades, recommender systems have grown and matured into reliable and ubiquitous systems in today’s digital landscape. Relying on this maturity, the application of recommender systems for health and well-being has seen a rise in recent years, paving the way for tailored and personalized systems
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Justification of recommender systems results: a service-based approach User Model. User-Adap. Inter. (IF 3.6) Pub Date : 2022-10-29 Noemi Mauro, Zhongli Filippo Hu, Liliana Ardissono
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Dynamic session-based music recommendation using information retrieval techniques User Model. User-Adap. Inter. (IF 3.6) Pub Date : 2022-09-27 Arthur Tofani, Rodrigo Borges, Marcelo Queiroz
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Conceptualization and development of an autonomous and personalized early literacy content and robot tutor behavior for preschool children User Model. User-Adap. Inter. (IF 3.6) Pub Date : 2022-09-01 Ohoud Almousa, Sharifa Alghowinem
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Safe, effective and explainable drug recommendation based on medical data integration User Model. User-Adap. Inter. (IF 3.6) Pub Date : 2022-08-24 Panagiotis Symeonidis, Stergios Chairistanidis, Markus Zanker
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Automatically detecting task-unrelated thoughts during conversations using keystroke analysis User Model. User-Adap. Inter. (IF 3.6) Pub Date : 2022-08-19 Vishal Kuvar, Nathaniel Blanchard, Alexander Colby, Laura Allen, Caitlin Mills
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Fair performance-based user recommendation in eCoaching systems User Model. User-Adap. Inter. (IF 3.6) Pub Date : 2022-08-05 Ludovico Boratto, Salvatore Carta, Walid Iguider, Fabrizio Mulas, Paolo Pilloni
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Enhancing a student productivity model for adaptive problem-solving assistance User Model. User-Adap. Inter. (IF 3.6) Pub Date : 2022-08-03 Mehak Maniktala, Min Chi, Tiffany Barnes
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Personalised socially assistive robot for cardiac rehabilitation: Critical reflections on long-term interactions in the real world User Model. User-Adap. Inter. (IF 3.6) Pub Date : 2022-07-19 Bahar Irfan, Nathalia Céspedes, Jonathan Casas, Emmanuel Senft, Luisa F. Gutiérrez, Mónica Rincon-Roncancio, Carlos A. Cifuentes, Tony Belpaeme, Marcela Múnera
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Deploying a robotic positive psychology coach to improve college students’ psychological well-being User Model. User-Adap. Inter. (IF 3.6) Pub Date : 2022-07-11 Sooyeon Jeong, Laura Aymerich-Franch, Kika Arias, Sharifa Alghowinem, Agata Lapedriza, Rosalind Picard, Hae Won Park, Cynthia Breazeal
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A bias detection tree approach for detecting disparities in a recommendation model’s errors User Model. User-Adap. Inter. (IF 3.6) Pub Date : 2022-07-11 Joanna Misztal-Radecka, Bipin Indurkhya
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Considering temporal aspects in recommender systems: a survey User Model. User-Adap. Inter. (IF 3.6) Pub Date : 2022-07-04 Veronika Bogina, Tsvi Kuflik, Dietmar Jannach, Maria Bielikova, Michal Kompan, Christoph Trattner
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Personalized home-care support for the elderly: a field experience with a social robot at home User Model. User-Adap. Inter. (IF 3.6) Pub Date : 2022-06-23 Claudia Di Napoli, Giovanni Ercolano, Silvia Rossi
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Eye-tracking-based personality prediction with recommendation interfaces User Model. User-Adap. Inter. (IF 3.6) Pub Date : 2022-06-24 Li Chen, Wanling Cai, Dongning Yan, Shlomo Berkovsky
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Improving session-based recommendation with contrastive learning User Model. User-Adap. Inter. (IF 3.6) Pub Date : 2022-06-21 Wenxin Tai, Tian Lan, Zufeng Wu, Pengyu Wang, Yixiang Wang, Fan Zhou
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Dirichlet–Luce choice model for learning from interactions User Model. User-Adap. Inter. (IF 3.6) Pub Date : 2022-06-04 Gökhan Çapan, İlker Gündoğdu, Ali Caner Türkmen, Ali Taylan Cemgil
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Viewer types in game live streams: questionnaire development and validation User Model. User-Adap. Inter. (IF 3.6) Pub Date : 2022-06-01 Patrick Schuck, Maximilian Altmeyer, Antonio Krüger, Pascal Lessel
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An adaptive Metalearner-based flow: a tool for reducing anxiety and increasing self-regulation User Model. User-Adap. Inter. (IF 3.6) Pub Date : 2022-05-31 Ghassan Jebur, Hosam Al-Samarraie, Ahmed Ibrahim Alzahrani