Call for Papers

The ACM Conference on Intelligent User Interfaces (ACM IUI) is the annual premier venue where researchers and practitioners meet and discuss state-of-the-art advances at the intersection of Artificial Intelligence (AI) and Human-Computer Interaction (HCI). Ideal IUI submissions should address practical HCI challenges using machine intelligence and discuss both computational and human-centric aspects of such methodologies, techniques, and systems.

This area is crucial as AI is increasingly integrated into everyday technology. Understanding and shaping AI systems for human needs is essential to ensure that AI systems are effective and responsible. As these techniques become increasingly powerful, new use cases and human-AI interactions need to be explored. This conference offers an opportunity to focus the research community on important problems at the intersection of AI and HCI and bring together experts from various disciplines to discuss and build on these ideas in workshops, breaks, and networking sessions. 

Contributions are welcome from all relevant arenas, including academia, industry, government, and non-profit organizations. Diverse insights are critical to the vitality of the IUI community, and the conference will accept papers for both long and short oral presentations. Contributions to IUI are expected to be supported by rigorous evidence appropriate to the claims (e.g., user study, system evaluation, computational analysis).

Important Dates (AoE)

Abstract:August 13th, 2026
Full Paper:August 20th, 2026
Initial Paper Notifications:October 29th, 2026
Invited Rebuttal Deadline:November 5th, 2026
Final Decision Notification:November 26th, 2026
Camera-ready Submission:December 10th, 2026

    Topics

    IUI 2027 topics of interest include, but are not limited to:

    • Computational innovation
      • Interactive machine learning
      • Human-in-the loop AI testing and debugging
      • Human-centered recommendation and recommender systems
      • Generative models
      • Human-in-the-loop reinforcement learning
      • Intelligent user interfaces for generative AI
    • Innovative User Interfaces
      • Affective interfaces
      • Intelligent aesthetic interfaces
      • Intelligent collaborative interfaces
      • Intelligent AR/VR interfaces
      • Intelligent visualization and visual analytics
      • Intelligent wearable and mobile interfaces
      • Intelligent tangible interfaces
    • Human-centered AI methods, approaches, and systems
      • Explainable AI methods
      • Democratization of AI
      • Persuasive technologies in IUI
      • Privacy and security of IUI
      • Knowledge-based approaches to user interface design and generation
      • User modelling for intelligent interfaces
      • User-adaptive interaction and personalization
      • IUI for crowd computing and human computation
      • Human control in daily automations
      • Trust and reliance in intelligent systems
    • Intelligent Multimodal Systems
      • Embodied agents
      • Multimodal AI assistants
      • Intelligent multimodal interfaces
    • Intelligent Applications
      • Education and learning-related technologies
      • Healthcare and wellbeing
      • Automotive
      • Assistive technologies
      • Entertainment
      • Workplace happiness
      • Social media
      • Internet of Things (IoT)
      • Smart homes
    • Large Language Models and Agentic AI
      • End-user interaction with LLMs, agents, and multimodal models (e.g., chatbots, image generation)
      • LLMs and agents in the workplace
      • Human-agent interaction and multi-agent systems
      • Bias in LLMs and agents
      • The effects of LLMs and agents use on creative tasks
      • Personalized user interaction with LLMs and agents
      • Prompt engineering
      • User control and steering of LLMs and agents (e.g., RLHF, chaining, instruction tuning)
    • Evaluations of Intelligent User Interfaces
      • User experiments and studies
      • Reproducibility (including benchmarks, datasets, and challenges)
      • Meta-analysis
      • Mixed-methods evaluations

    Papers

    We invite original paper submissions that are not under consideration elsewhere. Accepted papers will appear in the ACM Digital Library and citation indices. At least one author of an accepted paper must register for the conference (this does not include workshop/tutorial only registration), attend in person, and present their paper during the main conference program. A selected set of accepted top-quality full papers will be invited to submit their extended versions for publication in an ACM Transactions on Interactive Intelligent Systems (TiiS) special issue titled “Highlights of IUI 2027” that will appear in 2028.

    Reflection of practical and societal impact

    We encourage authors to consider practical and societal implications of their work (as well as its shortcomings) throughout their projects and to include a reflection on those implications in their papers, in particular, how the proposed methods and insights could be applied and deployed in a realistic setting and how they can improve people’s lives in the real world.

    We also encourage authors to discuss potential ethical considerations of their work in terms of diversity, inclusion, and equality; and other topics under the broad responsible AI topic and its societal impact. We recognize that technology is rarely neutral — simply by making some things easier than others, it reshapes society (Winner, 1980; Green, 2020). Further, given the incredibly short invention-to-application cycles for AI-related technologies, it is becoming increasingly unlikely that “somebody else” will carefully consider how an emerging intelligent user interface technology might impact the world before this technology is deployed. Our purpose is to help authors ensure that the likely societal consequences of their work are consistent with their intentions and values. For colleagues who are not yet experienced with incorporating societal impacts into their IUI research but who are willing to give it a try, here are some ideas to consider.

    Anonymization

    ACM IUI uses a double-blind review process. All submissions (and supplemental materials) must be appropriately anonymized according to the following guidelines:

    • Authors’ names and affiliations are not visible anywhere in the submission, including but not limited to the submission document, video figures, and supplemental materials.
    • Acknowledgements should be anonymized or removed during the review process.
    • Self-citations should be included where necessary but must use the third person. For example, “… as shown in our previous user study [2] … ” is not allowed, whereas “… as shown in Smith et al. [2] ” is acceptable (because in this case the citation [2] will NOT be perceived as self-citation).

    Failure to follow these guidelines may result in submissions being desk-rejected without review.

    Accessibility

    Authors are asked to make their paper submissions accessible (so that reviewers with vision impairments can access them, for example). The authors of accepted papers will be required to make their final PDFs accessible. Please use the SIGCHI Guide to an Accessible Submission for detailed instructions.

    If you are submitting a video as supplemental material, please provide captions, as described in Technical Requirements and Guidelines for Videos.

    Please refer to the Accessibility page of the conference site for further details and guidelines.

    Usage of Generative AI

    All submissions must comply with the ACM policy on the usage of GenAI: the April 2023 ACM Policy on Authorship and Frequently Asked Questions. Text generated from a large-scale language model (LLM), such as ChatGPT, must be clearly marked where such tools are used for purposes beyond editing the author’s own text. Authors should include a “GenAI Usage Disclosure” section, right before the references, to provide full disclosure of all use of GenAI tools in all stages of the research (including the code and data) and the writing. This section, together with the references, will not be counted toward the word limit.

    While we do not anticipate using tools on a large scale to detect LLM-generated text, we will investigate submissions brought to our attention and desk reject papers where LLM use is not clearly marked.

    Research Involving Human Participants and Subjects

    Any research in submitted manuscripts that involves human subjects must go through the appropriate ethics review requirements that apply to the authors’ research environment. As research environments vary considerably with regard to their requirements, authors are asked to submit a short note to reviewers that provides this context. Please also see the 2021 ACM Publications policy on research involving human participants and subjects before submitting.

    Additional Policies

    Authors should also be aware of the SIGCHI Policy for Submission and Review at SIGCHI Conferences and ACM Publications Policies.

    Submission Format, Length, and Platform

    We adopt the ACM TAPS Workflow.

    Please prepare your submission for review in a single column format, using the latest templates: Word Submission Template, or the LaTeX template using   \documentclass[manuscript,review,anonymous]{acmart} for the LaTeX template.

    Papers are of variable length. Paper length, excluding references, figure/table captions, GenAI Usage Disclosure, and appendices, must be proportional to its contribution. We encourage authors to stay within a 10,000 word limit. Authors of papers exceeding 12,000 words should add a note at the end of their manuscript explaining how the length of the paper is commensurate with the contribution of the work.

    Submission Platform

    All materials must be submitted electronically to the Precision Conference Submission (PCS) Portal (https://new.precisionconference.com/) by the abstract and paper deadlines.

    In PCS, first click “Submissions” at the top of the page, from the dropdown menus for Society, Conference, and Track, please select “SIGCHI”, “IUI 2027”, and “IUI 2027 Papers”, respectively, and then press “Go”.

    Note: If the corresponding author (the individual who submits the paper, not necessarily the first author) is affiliated with a participating institution that has an open access agreement with ACM, the Article Processing Charges (APCs) will be waived for publishing the paper. Details are under “Publication and Open Access”.

    Supplemental Materials

    Submitting supplemental material (e.g., questionnaires, demo videos of applications, data sheets) is optional but encouraged.

    If supplying a demo video, please follow the SIGCHI Technical Requirements and Guidelines for Videos.

    If you have any concurrent submissions to IUI or other venues that are closely related – i.e., are based on the same study, artifact, or dataset – you must include an anonymized version of that submission to the concurrent submissions field. Failure to do so will result in desk rejection. The same rule applies if your submission is built directly on work currently under review at other venues. Please see ACM guide on prior and simultaneous submissions.

    Publication and Open Access

    The official publication date is the date the proceedings are made available in the ACM Digital Library. This date may be up to two weeks prior to the first day of the conference. The official publication date affects the deadline for any patent filings related to published work.

    As of January 1, 2026, ACM has fully transition to Open Access. All ACM publications, including those from ACM-sponsored conferences, are 100% Open Access. Authors will have two primary options for publishing Open Access articles with ACM: the ACM Open institutional model or by paying Article Processing Charges (APCs). With over 1,800 institutions already part of ACM Open, the majority of ACM-sponsored conference papers will not require APCs from authors or conferences (currently, around 70-75%).

    Authors from institutions not participating in ACM Open will need to pay an APC to publish their papers, unless they qualify for a financial or discretionary waiver. To find out whether an APC applies to your article, please consult the list of participating institutions in ACM Open and review the APC Waivers and Discounts Policy. Keep in mind that waivers are rare and are granted based on specific criteria set by ACM.

    Understanding that this change could present financial challenges, ACM has approved a temporary subsidy for 2026 to ease the transition and allow more time for institutions to join ACM Open. The subsidy will offer:

    • $250 APC for ACM/SIG members
    • $350 for non-members

    This represents a 65% discount, funded directly by ACM. Authors are encouraged to help advocate for their institutions to join ACM Open during this transition period.

    This temporary subsidized pricing will apply to all conferences scheduled for 2026, but note that the policy may be updated in future ACM Council meetings. Stay tuned for the latest update.

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