[CFP] IntRS'26: 13th Joint Workshop on Interfaces and Human Decision Making for Recommender Systems
Marco Polignano
13th Joint Workshop on Interfaces and Human Decision Making for Recommender Systems - IntRS'26
https://sites.google.com/view/intrs26/
Held in conjunction with the 20th ACM Conference on Recommender Systems
Minneapolis, Minnesota, USA, September 28–October 2 2026
https://recsys.acm.org/recsys26
### Important Dates ###
Submission deadline: July 20, 2026
Author notification: August 14, 2026
Camera-ready version: August 28, 2026
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Submission Site: https://easychair.org/conferences/?conf=recsys2026workshops
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Research on Human-AI collaboration involves several critical areas of investigation, such as Human-in-the-loop, Symbiotic AI, Explainable AI, User-centered design, and Intelligent Interfaces. Overall, this area of research is aimed at developing systems that can work effectively with human users, considering their preferences, cognitive abilities, and ethical values. They should be transparent, interpretable, adaptable, and respectful of the user’s autonomy and privacy. The ultimate goal is to develop recommender systems that can support the user’s decision-making process, enhance their well-being, and promote social good. This means respecting cultural, social, and individual differences when crafting recommendations. Inclusive design translates to recommendations that truly represent the diverse individuals who use these systems. Human-AI collaboration and Human-Centered AI are pivotal in the development of recommender systems.
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### Topic of Interest ###
Topics of interest include, but are not
limited to:
User Interfaces
§ Visual interfaces
§ Explanation interfaces
§ Ethical issues (Fairness and Biases) in explainable interfaces
§ Collaborative multi-user interfaces (e.g., for group decision-making)
§ Spoken and natural language interfaces
§ Trust-aware interfaces
§ Social interfaces
§ Context-aware interfaces
§ Ubiquitous and mobile interfaces
§ Conversational interfaces
§ Example- and demonstration-based interfaces
§ New approaches to designing interfaces for recommender systems
§ UIs counteracting decision manipulation
§ User interfaces and cognitive overload
§ Psychological aspects of privacy-aware recommendation interfaces
§ Generative AI for Recommender Systems
interfaces
Interaction, user modeling, and decision-making
§ Cognitive Modeling for Recommender Systems
§ Symbiotic recommender systems
§ Explainability of decision-making models
§ User-adaptive XAI systems
§ Controllability, transparency, and scrutability of decision-making models
§ Decision theories and biases (e.g., priming, framing, and decoy effects)
§ Detection and avoidance of decision biases (e.g., in item presentations)
§ Preference elicitation and construction
§ The role of emotions in recommender systems
§ Trust inspiring UIs (e.g., explanation-aware RSs)
§ Argumentation & persuasive recommendation (e.g., aspects of nudging in RSs)
§ Cultural differences (e.g., culture-aware recommendation)
§ Mechanisms for effective group decision-making
§ Decision theories for effective group decision-making
§ Voting Advice Applications
§ Human-LLMs interaction, prompting, and chaining
Evaluation
§ User-centric evaluation for Symbiotic AI interfaces
§ Application descriptions in Human-Centered Recommender Systems
§ Benchmarking platforms for Human-Centered Recommender Systems
§ Empirical studies and evaluations of new interfaces
§ Empirical studies and evaluations of new interaction designs
§ Evaluation methods and metrics (e.g., evaluation questionnaire design)
§ Psychological aspects in user-centric evaluation
§ Case studies
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### Contributions ###
IntRS’26 welcomes submissions that fall in the following three major
categorizations:
1. Research Papers: should present original work that has not been previously published, is not under review, and will not be submitted elsewhere during the review process.
§ Long (10 or more "standard" pages, including references) should make a clear and novel contribution and be positioned with respect to the state of the art.
§ Short
(5-9 "standard" pages, including references) may
present early-stage research, promising ideas, negative results, or
thought-provoking perspectives that can stimulate discussion and future work.
2. Reproducibility and Resource Papers: this category includes submissions focused on tools, datasets, benchmarks, and reproducibility studies, including newly developed resources, significant updates to existing tools, or systematic evaluations of published work.
§ Long (10 or more "standard" pages, including references) should present substantial contributions, such as comprehensive tools, large-scale datasets, or in-depth reproducibility analyses.
§ Short
(5-9 "standard" pages, including references) may
describe smaller-scale resources, focused tool descriptions, or preliminary
reproducibility efforts of interest to the community.
3. Position Papers: are intended for short, critical, or visionary contributions that highlight future directions, emerging challenges, or reflective perspectives on the field. Position papers may be up to 4 pages, including references, and should aim to spark discussion and inspire future research, even in the absence of experimental results.
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### Submission ###
All submissions must be written in English, formatted as PDF files, and follow the CEUR-WS single-column conference format, available as a compressed archive and an Overleaf template.
Submissions
will undergo a double-blind peer review process. Review criteria
include relevance to the workshop, originality, significance of the
contribution, technical soundness, clarity of presentation, quality of
references, and reproducibility.
Authors are encouraged to share code and supplementary
material via an anonymous repository, such as https://anonymous.4open.science/, to support reproducibility.
Submissions that are not properly anonymized, fail to follow the required formatting, or disregard these guidelines may be rejected without review.
Accepted long and short papers will be published in
the CEUR Workshop Proceedings and presented in the main workshop
program. Position papers will not be included in the published proceedings, but
a selection of these may be invited for oral presentations.
Please note that at least one author of each accepted paper must register for and attend the workshop in order to present the work. We expect authors, reviewers, and organizers to adhere to the ACM Conflict of Interest Policy and the ACM Code of Ethics and Professional Conduct.
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### Organizers ###
Peter Brusilovsky, pet...@pitt.edu
School of Information Sciences, University of Pittsburgh, USA
Marco de Gemmis, marco.d...@uniba.it
Dept. of Computer Science, University of Bari Aldo Moro, Italy
Alexander Felfernig, alexander...@ist.tugraz.at
Software Engineering and AI, Graz University of Technology, Austria
Pasquale Lops, pasqua...@uniba.it
Dept. of Computer Science, University of Bari Aldo Moro, Italy
Marco Polignano, marco.p...@uniba.it
Dept. of Computer Science, University of Bari Aldo Moro, Italy
Giovanni Semeraro, giovanni...@uniba.it
Dept. of Computer Science, University of Bari Aldo Moro, Italy
Martijn C. Willemsen, m.c.wi...@tue.nl
Eindhoven University of Technology, The Netherlands