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ORCIDUser Modeling and User-Adapted Interaction, Volume 33
Volume 33, Number 1, March 2023
- Wenxin Tai
, Tian Lan, Zufeng Wu, Pengyu Wang, Yixiang Wang, Fan Zhou:
Improving session-based recommendation with contrastive learning. 1-42 - Joanna Misztal-Radecka, Bipin Indurkhya:
A bias detection tree approach for detecting disparities in a recommendation model's errors. 43-79 - Veronika Bogina, Tsvi Kuflik, Dietmar Jannach, Mária Bieliková, Michal Kompan, Christoph Trattner:
Considering temporal aspects in recommender systems: a survey. 81-119 - Li Chen, Wanling Cai, Dongning Yan, Shlomo Berkovsky:
Eye-tracking-based personality prediction with recommendation interfaces. 121-157 - Mehak Maniktala, Min Chi, Tiffany Barnes:
Enhancing a student productivity model for adaptive problem-solving assistance. 159-188
Volume 33, Number 2, April 2023
- Silvia Rossi, Mariacarla Staffa, Maartje M. A. de Graaf, Cristina Gena:
Preface to the special issue on personalization and adaptation in human-robot interactive communication. 189-194 - S. M. Bhagya P. Samarakoon, M. A. Viraj J. Muthugala, A. G. Buddhika P. Jayasekara, Mohan Rajesh Elara:
Adapting approaching proxemics of a service robot based on physical user behavior and user feedback. 195-220 - Marialejandra García-Corretjer, Raquel Ros, Roger Mallol, David Miralles:
Empathy as an engaging strategy in social robotics: a pilot study. 221-259 - Ohoud Almousa, Sharifa Alghowinem:
Conceptualization and development of an autonomous and personalized early literacy content and robot tutor behavior for preschool children. 261-291 - Riccardo De Benedictis, Alessandro Umbrico, Francesca Fracasso, Gabriella Cortellessa, Andrea Orlandini, Amedeo Cesta:
A dichotomic approach to adaptive interaction for socially assistive robots. 293-331 - Gerard Canal, Carme Torras, Guillem Alenyà:
Generating predicate suggestions based on the space of plans: an example of planning with preferences. 333-357 - Marcos Maroto-Gómez, Álvaro Castro González, José Carlos Castillo, María Malfaz, Miguel Ángel Salichs:
An adaptive decision-making system supported on user preference predictions for human-robot interactive communication. 359-403 - Claudia Di Napoli, Giovanni Ercolano, Silvia Rossi:
Personalized home-care support for the elderly: a field experience with a social robot at home. 405-440 - Antonio Andriella, Carme Torras, Carla Abdelnour, Guillem Alenyà:
Introducing CARESSER: A framework for in situ learning robot social assistance from expert knowledge and demonstrations. 441-496 - Bahar Irfan, Nathalia Céspedes, Jonathan Casas, Emmanuel Senft, Luisa F. Gutiérrez, Mónica Rincon-Roncancio, Carlos A. Cifuentes, Tony Belpaeme, Marcela C. Múnera:
Personalised socially assistive robot for cardiac rehabilitation: Critical reflections on long-term interactions in the real world. 497-544 - Min Hun Lee, Daniel P. Siewiorek, Asim Smailagic, Alexandre Bernardino, Sergi Bermúdez i Badia:
Design, development, and evaluation of an interactive personalized social robot to monitor and coach post-stroke rehabilitation exercises. 545-569 - Sooyeon Jeong, Laura Aymerich-Franch, Kika Arias, Sharifa Alghowinem, Àgata Lapedriza, Rosalind W. Picard, Hae Won Park, Cynthia Breazeal:
Deploying a robotic positive psychology coach to improve college students' psychological well-being. 571-615
Volume 33, Number 3, July 2023
- Vishal Kiran Kuvar, Nathaniel Blanchard, Alexander Colby, Laura K. Allen, Caitlin Mills:
Automatically detecting task-unrelated thoughts during conversations using keystroke analysis. 617-641 - Noemi Mauro, Zhongli Filippo Hu, Liliana Ardissono:
Justification of recommender systems results: a service-based approach. 643-685 - Rosy Southwell, Caitlin Mills, Megan Caruso, Sidney K. D'Mello:
Gaze-based predictive models of deep reading comprehension. 687-725 - Ningxia Wang, Li Chen:
How do item features and user characteristics affect users' perceptions of recommendation serendipity? A cross-domain analysis. 727-765 - Ningxia Wang, Li Chen:
Correction to: How do item features and user characteristics affect users' perceptions of recommendation serendipity? A cross-domain analysis. 767
Volume 33, Number 4, September 2023
- Mathias Jesse, Christine Bauer, Dietmar Jannach:
Intra-list similarity and human diversity perceptions of recommendations: the details matter. 769-802 - Lemei Zhang, Peng Liu, Jon Atle Gulla:
Recommending on graphs: a comprehensive review from a data perspective. 803-888 - Hosam Al-Samarraie, Samer Muthana Sarsam, Ahmed Ibrahim Alzahrani:
Emotional intelligence and individuals' viewing behaviour of human faces: a predictive approach. 889-909 - Luis M. de Campos, Juan M. Fernández-Luna, Juan F. Huete:
Use of topical and temporal profiles and their hybridisation for content-based recommendation. 911-937 - Felix Sihan Wang, Thomas Kreiner, Alexander Lutz, Quentin Lohmeyer, Mirko Meboldt:
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. 939-965 - Alexia Dini Kounoudes, Georgia M. Kapitsaki, Ioannis Katakis:
Enhancing user awareness on inferences obtained from fitness trackers data. 967-1014
Volume 33, Number 5, November 2023
- Ingrid Zukerman, Andisheh Partovi, Jakob Hohwy:
Influence of Device Performance and Agent Advice on User Trust and Behaviour in a Care-taking Scenario. 1015-1063 - Qizhi Li, Canzhe Zhao, Tong Yu, Junda Wu, Shuai Li:
Clustering of conversational bandits with posterior sampling for user preference learning and elicitation. 1065-1112 - Akrivi Krouska, Christos Troussas, Cleo Sgouropoulou:
A novel group recommender system for domain-independent decision support customizing a grouping genetic algorithm. 1113-1140 - Patrícia Alves, Helena Martins, Pedro M. Saraiva, João Carneiro, Paulo Novais, Goreti Marreiros:
Group recommender systems for tourism: how does personality predict preferences for attractions, travel motivations, preferences and concerns? 1141-1210 - 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:
Using latent variable models to make gaming-the-system detection robust to context variations. 1211-1257
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