IUI 2021 : ACM Conference on Intelligent User Interfaces

  in Conferences   Posted on May 14, 2020

Conference Information

Submission Deadline Friday 02 Oct 2020 Proceedings indexed by :
Conference Dates Apr 13, 2021 - Apr 17, 2021
Conference Address College Station, United States
Conference & Submission Link https://iui.acm.org/2021/
Conference Organizers : ( Deadline extended ? Click here to edit )

Conference Ranking & Metrics (This is a TOP Conference)

Guide2Research Overall Ranking: 150
Category Rankings
Human Computer Interaction 19
Machine Learning & Arti. Intelligence 42
Graphics & Computer-Aided Design 11
Software Engineering & Programming 37

Google Scholar H5-index:
27

Conference Call for Papers

ACM IUI 2021 is the 26th annual premier international forum for reporting outstanding research and development on intelligent user interfaces.

ACM IUI is where the Human-Computer Interaction (HCI) and the Artificial Intelligence (AI) communities meet, with contributions from related fields such as psychology, behavioral science, cognitive science, computer graphics, design, the arts, and more. Our focus is to improve the interaction between humans and digital technology, by leveraging both HCI approaches and state-of-the art AI techniques from machine learning, natural language processing, data mining, knowledge representation and reasoning.

Why you should submit to ACM IUI

While other conferences focus on either the AI or HCI side of this research, we address the complex interaction between the two. We strongly encourage submissions that simultaneously discuss research from both HCI and AI. We also welcome works that focus more on one side or the other, but still highlight the connections between the two. We value papers that contribute to the methodology or theory for evaluation of intelligent user interfaces. We do not require evaluations with users, but we do expect papers to include an appropriate evaluation for their stated contributions.

ACM IUI welcomes contribution from all relevant arenas, academia, industry, government, and non-profit organizations, and gives its participants the opportunity to present and see cutting-edge IUI work in a focused and interactive setting. The congerence 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.

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 2020”.

Topics

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

Application areas

Education and learning-related technologies

Health and intelligent health technologies

Assistive technologies

Social media technologies

Artificial personal assistants

Information retrieval, search, and recommendation system

Interface types

Affective and aesthetic interfaces

Collaborative interfaces

Intelligent wearable and mobile interfaces

Ubiquitous smart environments

Modalities

Agent based interfaces (e.g., embodied agents)

Multi-modal interfaces (speech, gestures, eye gaze, face, physiological information etc.)

Conversational interfaces

Tangible interfaces

Intelligent visualization

Methods and approaches

Methods for explanations (e.g., transparency, control, and trust )

Persuasive technologies in IUI

Planning and plan recognition for IUI

Knowledge-based approaches to user interface design and generation

User Modelling for Intelligent Interfaces

User-Adaptive interaction and personalization

Crowd computing and human computation

Human-in-the loop machine learning

Evaluations of intelligent user interfaces

Reproducibility

Meta-analysis

Mixed-methods evaluations

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