Important Dates

Call For Papers

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ACM IUI 2018 is the 23rd annual meeting of the intelligent interfaces community and serves as a premier international forum for reporting outstanding research and development on intelligent user interfaces. In 2018, IUI will be held in the Hitotsubashi Hall in central Tokyo Japan from March 7th - 11th and will co-locate with the Japanese IPSJ Interactions conference.

ACM IUI is where the Human-Computer Interaction (HCI) community meets the Artificial Intelligence (AI), with contributions from related fields such as psychology, behavioral science, cognitive science, computer graphics, design or the arts. Our focus is to improve the interaction between humans and machines, by leveraging both more traditional HCI approaches, as well as solutions that involve state-of-the art AI techniques such as machine learning, natural language processing, data mining, knowledge representation and reasoning. ACM IUI welcomes contribution from any relevant arena: academia, business, or non-profit organizations. Along with 25 other topics in AI & HCI, this year we especially encourage submissions on explainable intelligent user interfaces for IUI 2018.

Why you should submit to ACM IUI

At ACM IUI, we focus on the interaction between machine intelligence and human intelligence. While other conferences focus on one side or the other, we address the complex interaction between the two. We welcome research that explores how to make the interaction between computers and people smarter, which may leverage solutions from data mining, knowledge representation, novel interaction paradigms, and emerging technologies. We strongly encourage submissions that discuss research from both HCI and AI simultaneously, but also welcome works that focus more on one side or the other.

The conference brings together people from academia, industry and non-profit organizations and gives its participants the opportunity to present and see cutting-edge IUI work in a focused and interactive setting. It is large enough to be diverse and lively, but small enough to allow for extensive interaction among attendees and easy attendance to the events that the conference offers, ranging from oral paper presentations, poster sessions, workshops, panels and doctoral consortium for graduate students.

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

• Affective and aesthetic interfaces
• Big Data and analytics
• Collaborative interfaces
• Education and learning-related technologies
• Evaluations of intelligent user interfaces
• Explainable intelligent user interfaces.
• Health and intelligent health technologies
• Information retrieval and search
• Intelligent assistants for complex tasks
• Intelligent wearable and mobile interfaces
• Intelligent ubiquitous user interfaces
• Intelligent visualization tools
• Interactive machine learning
• Knowledge-based approaches to user interface design and generation
• Modeling and prediction of user behavior
• Multi-modal interfaces (speech, gestures, eye gaze, face, physiological information etc.)
• Natural language and speech processing
• Persuasive and assistive technologies in IUI
• Planning and plan recognition for IUI
• Proactive and agent-based user interaction
• Recommender systems
• Smart environments and tangible computing
• Social media analysis
• User Modelling for Intelligent Interfaces
• User-Adaptive interaction and personalization

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Submission - Full and Short Papers

We invite original paper submissions that describe novel user interfaces, applications, interactive and intelligent technologies, empirical studies, or design techniques. We do not require evaluations with users, but we do expect papers to include an appropriate evaluation for their stated contribution.

Accepted papers will appear in the ACM Digital Library and citation indices. 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, http://tiis.acm.org) special issue titled "Highlights of IUI 2018".

Submission Guidelines

• Full paper (anonymized 10 pages, references do not count toward the page limit) should make substantial, novel, and relevant contribution to the field.
• Short paper (anonymized 4 pages, references do not count toward the page limit) is a much more focused and succinct contribution to the field. Short papers are not expected to include a discussion of related work that is as broad and complete as that of Full papers.
• Anonymization: ACM IUI uses a double-blind review process. All submissions must be appropriately anonymized according to the following guidelines:
  1. Author’s names and affiliations are not visible anywhere in the paper.
  2. Acknowledgements should be anonymized or removed during the review process.
  3. 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 rejected without review.
• Authors should also be aware of the SIGCHI Policy for Submission and Review at SIGCHI Conferences.
• Submissions should follow the standard SigCHI format, using one of the following templates:
  • Microsoft Word Template for Papers
  • LaTeX Template for Papers
  • PDF Example for Papers

Accepted full papers will be invited for oral presentation. Accepted short papers will be invited either as oral or poster presentation, depending on the nature and quality of the paper.

Please note:
ACM IUI 2018 is using what is called PCS 2.0 (https://new.precisionconference.com) for paper submissions. To aid SIGCHI in the process of paper submission and management, this system and hence its interface is still in development.
You are encouraged to report PCS 2.0 problems or to make interface suggestions to support@precisionconference.com

Chairs - program2018@iui.acm.org

Margaret M. Burnett, Oregon State University, USA
Mark Billinghurst, University of South Australia
Aaron Quigley, University of St Andrews, UK

Senior Program Committee

Elisabeth Andre, Augsburg University, Germany
Joshi Anirudha, IIT Bombay, India
Lora Aroyo, VU University Amsterdam, Netherlands
Peter Brusilovsky, University of Pittsburgh, USA
Andrea Bunt, University of Manitoba, Canada
Marc Cavazza, University of Kent, UK
Cristina Conati, University of British Columbia, Canada
Sakamoto Daisuke, Hokkaido University, Japan
Anind Dey, Carnegie Mellon University, USA
Jill Freyne, CSIRO, Australia
Ido Guy, Yahoo Labs, Israel
Tracy Hammond, Texas A&M University, USA
Masahiko Inami, University of Tokyo, Japan
Giulio Jacucci, Univeristy of Helsinki, Finland
Anthony Jameson, DFKI: German Research Center for Artificial Intelligence, Germany
Per-Ola Kristensson, University of Cambridge, UK
Antonio Krüger, DFKI: German Research Center for Artificial Intelligence, Germany
Tsvi Kuflik, The University of Haifa, Israel
Henry Lieberman, Massachusetts Institute of Technology, USA
Brian Lim, National University, Singapore
Sugimoto Maki, Keio University, Japan
Hamasaki Masahiro, AIST: The National Institute of Advanced Industrial Science and Technology, Japan
Wendy E. Mackay, INRIA, France
Jeffrey Nichols, Google, USA
Nuria Oliver, Vodafone/Data-Pop Alliance, Spain
Cecile Paris, CSIRO/ICT Centre, Australia
Fabio Paterno, CNR-ISTI, Italy
Barry Smyth, University College Dublin, Ireland
Simone Stumpf, City University London, UK
Nava Tintarev, TU Delft, Amsterdam, Netherlands
Itoh Tkayuki, Ochanomizu University, Japan
Matthew Turk, University of California, Santa Barbara, USA
Nakano Yukiko, Seikei University, Japan