[CFP - Extended Deadline] IntRS'26: 13th Joint Workshop on Interfaces and Human Decision Making for Recommender Systems

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EXTENDED SUBMISSION DEADLINE

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*13th Joint Workshop on Interfaces and Human Decision Making for=20
Recommender Systems - IntRS'26*
https://sites.google.com/view/intrs26/=20
<https://sites.google.com/view/intrs26/>

Held in conjunction with the *20th ACM Conference on Recommender Systems*

/Minneapolis, Minnesota, USA, September 28=E2=80=93October 2 2026
/https://recsys.acm.org/recsys26 <https://recsys.acm.org/recsys26>//

**

### *Important Dates *###

_*Submission deadline: *July 25, 2026 - AoE time zone_

*Author notification: *August 14, 2026**

*Camera-ready version: *August 28, 2026

------------------------------

*Submission Site:=20
*https://easychair.org/conferences/?conf=3Drecsys2026workshops=20
<https://easychair.org/conferences/?conf=3Drecsys2026workshops>

------------------------------

Research on Human-AI collaboration involves several critical areas of=20
investigation, such as Human-in-the-loop, Symbiotic AI, Explainable AI,=20
User-centered design, and Intelligent Interfaces. Overall, this area of=20
research is aimed at developing systems that can work effectively with=20
human users, considering their preferences, cognitive abilities, and=20
ethical values. They should be transparent, interpretable, adaptable,=20
and respectful of the user=E2=80=99s autonomy and privacy. The ultimate g=
oal is=20
to develop recommender systems that can support the user=E2=80=99s=20
decision-making process, enhance their well-being, and promote social=20
good. This means respecting cultural, social, and individual differences=20
when crafting recommendations. Inclusive design translates to=20
recommendations that truly represent the diverse individuals who use=20
these systems. Human-AI collaboration and Human-Centered AI are pivotal=20
in the development of recommender systems.

------------------------------

### *Topic of Interest *###

Topics of interest include, but are not limited to:

*User Interfaces*

=C2=A7Visual interfaces

=C2=A7Explanation interfaces

=C2=A7Ethical issues (Fairness and Biases) in explainable interfaces

=C2=A7Collaborative multi-user interfaces (e.g., for group decision-makin=
g)

=C2=A7Spoken and natural language interfaces

=C2=A7Trust-aware interfaces

=C2=A7Social interfaces

=C2=A7Context-aware interfaces

=C2=A7Ubiquitous and mobile interfaces

=C2=A7Conversational interfaces

=C2=A7Example- and demonstration-based interfaces

=C2=A7New approaches to designing interfaces for recommender systems

=C2=A7UIs counteracting decision manipulation

=C2=A7User interfaces and cognitive overload

=C2=A7Psychological aspects of privacy-aware recommendation interfaces

=C2=A7Generative AI for Recommender Systems interfaces

*Interaction, user modeling, and decision-making*

=C2=A7Cognitive Modeling for Recommender Systems

=C2=A7Symbiotic recommender systems

=C2=A7Explainability of decision-making models

=C2=A7User-adaptive XAI systems

=C2=A7Controllability, transparency, and scrutability of decision-making =
models

=C2=A7Decision theories and biases (e.g., priming, framing, and decoy eff=
ects)

=C2=A7Detection and avoidance of decision biases (e.g., in item presentat=
ions)

=C2=A7Preference elicitation and construction

=C2=A7The role of emotions in recommender systems

=C2=A7Trust inspiring UIs (e.g., explanation-aware RSs)

=C2=A7Argumentation & persuasive recommendation (e.g., aspects of nudging=
 in RSs)

=C2=A7Cultural differences (e.g., culture-aware recommendation)

=C2=A7Mechanisms for effective group decision-making

=C2=A7Decision theories for effective group decision-making

=C2=A7Voting Advice Applications

=C2=A7Human-LLMs interaction, prompting, and chaining


*Evaluation*

=C2=A7User-centric evaluation for Symbiotic AI interfaces

=C2=A7Application descriptions in Human-Centered Recommender Systems

=C2=A7Benchmarking platforms for Human-Centered Recommender Systems

=C2=A7Empirical studies and evaluations of new interfaces

=C2=A7Empirical studies and evaluations of new interaction designs

=C2=A7Evaluation methods and metrics (e.g., evaluation questionnaire desi=
gn)

=C2=A7Psychological aspects in user-centric evaluation

=C2=A7Case studies

------------------------------

### *Contributions *###

IntRS=E2=80=9926 welcomes submissions that fall in the following three ma=
jor=20
categorizations:

1.*Research Papers*: should present original work that has not been=20
previously published, is not under review, and will not be submitted=20
elsewhere during the review process.

=C2=A7*Long *(10 or more "standard" pages, including references) should m=
ake=20
a clear and novel contribution and be positioned with respect to the=20
state of the art.

=C2=A7*Short *(5-9 "standard" pages, including references) may present=20
early-stage research, promising ideas, negative results, or=20
thought-provoking perspectives that can stimulate discussion and future=20
work.

2.*Reproducibility and Resource Papers*: this category includes=20
submissions focused on tools, datasets, benchmarks, and reproducibility=20
studies, including newly developed resources, significant updates to=20
existing tools, or systematic evaluations of published work.

=C2=A7*Long *(10 or more "standard" pages, including references) should=20
present substantial contributions, such as comprehensive tools,=20
large-scale datasets, or in-depth reproducibility analyses.

=C2=A7*Short *(5-9 "standard" pages, including references) may describe=20
smaller-scale resources, focused tool descriptions, or preliminary=20
reproducibility efforts of interest to the community.

3.*Position Papers*: are intended for short, critical, or visionary=20
contributions that highlight future directions, emerging challenges, or=20
reflective perspectives on the field. Position papers may be *up to 4=20
pages*, *including references*, and should aim to spark discussion and=20
inspire future research, even in the absence of experimental results.

------------------------------

### *Submission *###

All submissions must be written in English, formatted as PDF files, and=20
follow the *CEUR-WS single-column conference format*, available as a=20
compressed archive <http://ceur-ws.org/Vol-XXX/CEURART.zip>=C2=A0and an=20
Overleaf template=20
<https://www.overleaf.com/latex/templates/template-for-submissions-to-ceu=
r-workshop-proceedings-ceur-ws-dot-org/hpvjjzhjxzjk>.

Submissions will undergo a *double-blind peer review process*. Review=20
criteria include relevance to the workshop, originality, significance of=20
the contribution, technical soundness, clarity of presentation, quality=20
of references, and reproducibility.
Authors are encouraged to share code and supplementary material via an=20
anonymous repository, such as https://anonymous.4open.science/=20
<https://anonymous.4open.science/>, to support reproducibility.

Submissions that *are not properly anonymized*, fail to follow the=20
required formatting, or disregard these guidelines may be rejected=20
without review.


Accepted *long and short papers will be published in the=C2=A0CEUR Worksh=
op=20
Proceedings*=C2=A0and presented in the main workshop program. Position pa=
pers=20
will not be included in the published proceedings, but a selection of=20
these may be invited for oral presentations.

Please note that *at least one author of each accepted paper must=20
register for and attend the workshop in order to present the work. *We=20
expect authors, reviewers, and organizers to adhere to the *ACM Conflict=20
of Interest Policy*=C2=A0and the *ACM Code of Ethics and Professional Con=
duct*.

------------------------------


### *Organizers *###

*Peter Brusilovsky,*[email protected]

School of Information Sciences, University of Pittsburgh, USA

*Marco de Gemmis,*[email protected]
Dept. of Computer Science, University of Bari Aldo Moro, Italy

*Alexander Felfernig*, [email protected]

Software Engineering and AI, Graz University of Technology, Austria

*Pasquale Lops*, [email protected]

Dept. of Computer Science, University of Bari Aldo Moro, Italy

*Marco Polignano*, [email protected]

Dept. of Computer Science, University of Bari Aldo Moro, Italy

*Giovanni Semeraro*, [email protected]

Dept. of Computer Science, University of Bari Aldo Moro, Italy

*Martijn C. Willemsen*, [email protected]

Eindhoven University of Technology, The Netherlands**


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