Annual ACM Conference on Intelligent User Interfaces Combo Workshop Call for Papers

The Annual ACM Conference on Intelligent User Interfaces (IUI 2026)

March 23-26, 2026, 5* Coral Beach Hotel & Resort, Paphos, Cyprus

https://iui.hosting.acm.org/2026/


The ACM Conference on Intelligent User Interfaces (ACM IUI) is the
leading annual venue for researchers and practitioners to explore
advancements at the intersection of Artificial Intelligence (AI) and
Human-Computer Interaction (HCI).

IUI 2026 attracted a record number of submissions for the main
conference (561 full paper submissions after an initial submission of
697 abstracts). Although the submission deadline for the main
conference is now over, we welcome the submission of papers to a
number of workshops that will be held as part of IUI 2026.

A list of these workshops, with a short description and the workshops'
websites for further information, follows below.


AgentCraft: Workshop on Agentic AI Systems Development (full-day workshop)

Organizers: Karthik Dinakar (Pienso), Justin D. Weisz (IBM Research),
Henry Lieberman (MIT CSAIL), Werner Geyer (IBM Research)

URL: https://agentcraft-iui.github.io/2026/

Ambitious efforts are underway to build AI agents powered by large
language models across many domains. Despite emerging frameworks, key
challenges remain: autonomy, reasoning, unpredictable behavior, and
consequential actions. Developers struggle to comprehend and debug
agent behaviors, as well as determine when human oversight is
needed. Intelligent interfaces that enable meaningful oversight of
agentic plans, decisions, and actions are needed to foster
transparency, build trust, and manage complexity. We will explore
interfaces for mixed-initiative collaboration during agent development
and deployment, design patterns for debugging agent behaviors,
strategies for determining developer control and oversight, and
evaluation methods grounding agent performance in real-world impact.


AI CHAOS! 1st Workshop on the Challenges for Human Oversight of AI Systems
(full-day workshop)

Organizers: Tim Schrills (University of Lübeck), Patricia Kahr
(University of Zurich), Markus Langer (University of Freiburg),
Harmanpreet Kaur (University of Minnesota), Ujwal Gadiraju (Delft
University of Technology)

URL: https://sites.google.com/view/aichaos/iui-2026?authuser=0

As AI permeates high-stakes domains—healthcare, autonomous driving,
criminal justice - failures can endanger safety and rights. Human
oversight is vital to mitigate harm, yet methods and concepts remain
unclear despite regulatory mandates. Poorly designed oversight risks
false safety and blurred accountability. This interdisciplinary
workshop unites AI, HCI, psychology, and regulation research to close
this gap. Central questions are: How can systems enable meaningful
oversight? Which methods convey system states and risks? How can
interventions scale? Through papers, talks, and interactive
discussions, participants will map challenges, define stakeholder
roles, survey tools, methods, and regulations, and set a collaborative
research agenda.


CURE 2026: Communicating Uncertainty to foster Realistic Expectations
via Human- Centered Design (half-day workshop)

Organizers: Jasmina Gajcin (IBM Research), Jovan Jeromela (Trinity
College Dublin), Joel Wester (Aalborg University), Sarah Schömbs
(University of Melbourne), Styliani Kleanthous (Open University of
Cyprus), Karthikeyan Natesan Ramamurthy (IBM Research), Hanna
Hauptmann (Utrecht University), Rifat Mehreen Amin (LMU Munich)

URL: https://cureworkshop.github.io/cure-2026/

Communicating system uncertainty is essential for achieving
transparency and can help users calibrate their trust in, reliance on,
and expectations from an AI system. However, uncertainty communication
is plagued by challenges such as cognitive biases, numeracy skills,
calibrating risk perception, and increased cognitive load, with
research finding that lay users can struggle to interpret
probabilities and uncertainty visualizations.


HealthIUI 2026: Workshop on Intelligent and Interactive Health User Interfaces
(half-day workshop)

Organizers: Peter Brusilovsky (University of Pittsburgh), Behnam
Rahdari (Stanford University), Shriti Raj (Stanford University), Helma
Torkamaan (TU Delft)

URL: https://healthiui.github.io/2026/

As AI transforms health and care, integrating Intelligent User
Interfaces (IUI) in wellness applications offers substantial
opportunities and challenges. This workshop brings together experts
from HCI, AI, healthcare, and related fields to explore how IUIs can
enhance long-term engagement, personalization, and trust in health
systems. Emphasis is on interdisciplinary approaches to create systems
that are advanced, responsive to user needs, mindful of context,
ethics, and privacy. Through presentations, discussions, and
collaborative sessions, participants will address key challenges and
propose solutions to drive health IUI innovation.


MIRAGE: Misleading Impacts Resulting from AI-Generated Explanations
(full-day workshop)

Organizers: Simone Stumpf (University of Glasgow), Upol Ehsan
(Northeastern University), Elizabeth M. Daly (IBM Research), Daniele
Quercia (Nokia Bell Labs)

URL: https://mirage-workshop.github.io

Explanations from AI systems can illuminate, yet they can
misguide. MIRAGE at IUI tackles pitfalls and dark patterns in AI
explanations. Evidence now shows that explanations may inflate
unwarranted trust, warp mental models, and obscure power
asymmetries—even when designers intend no harm. We classify XAI
harms as Dark Patterns (intentional, e.g., trust-boosting placebos)
and Explainability Pitfalls (unintended effects without manipulative
intent). These harms include error propagation (model risks),
over-reliance (interaction risks), and false security (systemic
risks). We convene an interdisciplinary group to define, detect, and
mitigate these risks. MIRAGE shifts focus to safe explanations,
advancing accountable, human-centered AI.


PARTICIPATE-AI: Exploring the Participatory Turn in Citizen-Centred AI
(half-day workshop)

Organizers: Pam Briggs (Northumbria University), Cristina Conati
(University of British Columbia), Shaun Lawson (Northumbria
University), Kyle Montague (Northumbria University), Hugo Nicolau
(University of Lisbon), Ana Cristina Pires (University of Lisbon),
Sebastien Stein (University of Southampton), John Vines (University of
Edinburgh)

URL: https://sites.google.com/view/participate-ai/workshop

This workshop explores value alignment for participatory AI, focusing
on interfaces and tools that bridge citizen participation and
technical development. As AI systems increasingly impact society,
meaningful and actionable citizen input in their development becomes
critical. However, current participatory approaches often fail to
influence actual AI systems, with citizen values becoming
trivialized. This workshop will address challenges such as risk
articulation, value evolution, democratic legitimacy, and the
translation gap between community input and system
implementation. Topics include value elicitation within different
communities, critical analysis of failed participatory attempts, and
methods for making citizen concerns actionable for developers.


SHAPEXR: Shaping Human-AI-Powered Experiences in XR (full-day
workshop)

Organizers: Giuseppe Caggianese (National Research Council of Italy,
Institute for High- Performance Computing and Networking Napoli),
Marta Mondellini (National Research Council of Italy, Institute of
Intelligent Industrial Systems and Technologies for Advanced
Manufacturing, Lecco), Nicola Capece (University of Basilicata), Mario
Covarrubias (Politecnico di Milano), Gilda Manfredi (University of
Basilicata)

URL: https://shapexr.icar.cnr.it

This workshop explores how eXtended Reality (XR) can serve as a
multimodal interface for AI systems, including LLMs and conversational
agents. It focuses on designing adaptive, human-centered XR
environments that incorporate speech, gesture, gaze, and haptics for
seamless interaction. Main topics include personalization,
accessibility, cognitive load, trust, and ethics in AI-driven XR
experiences. Through presentations, discussions, and collaborative
sessions, the workshop aims to establish a subcommunity within IUI to
develop a roadmap that includes design principles and methodologies
for inclusive and adaptive intelligent interfaces, enhancing human
capabilities across various domains, such as healthcare, education,
and collaborative environments.


TRUST-CUA: Trustworthy Computer-Using Generalist Agents for
Intelligent User Interfaces (full-day workshop)

Organizers: Toby Jia-Jun Li (University of Notre Dame), Segev Shlomov
(IBM Research), Xiang Deng (Scale AI), Ronen Brafman (Ben-Gurion
University of the Negev), Avi Yaeli (IBM Research) Zora (Zhiruo) Wang
(Carnegie Mellon University)

URL: https://sites.google.com/view/trust-cuaiui26/home

Computer-Using Agents (CUAs) are moving from point automations to
generalist agents acting across GUIs, browsers, APIs, and
CLIs—raising core IUI questions of trust, predictability, and
control. This workshop advances trustworthy-by-design CUAs through
human-centered methods: mixed-initiative interaction, explanation and
sensemaking, risk/uncertainty communication, and recovery/rollback
UX. Outcomes include (1) a practical TRUST-CUA checklist for
oversight, consent, and auditing, (2) a user-centered evaluation
profile (“CUBench-IUI,” e.g., predictability, oversight effort,
time-to-recovery, policy-aligned success), and (3) curated design
patterns and open challenges for deployable, accountable agentic
interfaces.


Important Dates

* Paper Submission: December 19, 2025
* Notification: February 2, 2026

All dates are 23:59h AoE (anywhere on Earth).


Organisation

General Chairs
* Tsvi Kuflik, The University of Haifa, Israel
* Styliani Kleanthous, Open University of Cyprus, Cyprus

Local Organising Chair
* George A. Papadopoulos, University of Cyprus, Cyprus

Workshop and Tutorial Chairs
* Karthik Dinakar, Pienso Inc, USA
* Werner Geyer, IBM Research, USA
* Patricia Kahr, University of Zurich, Switzerland
* Antonela Tommasel, ISISTAN, CONICET-UNCPBA, JKU, Argentina, Austria