CHI 2022 Workshop: Computational Approaches for Understanding, Generating,
and Adapting User Interfaces

Computational approaches for user interfaces have been used in adapting
interfaces for different modalities, usage scenarios, and device form
factors, understanding screen semantics for accessibility, task-automation,
information extraction, and assisting interface design. Recent advances in
machine learning (ML) have drawn considerable attention across HCI and
related fields such as computer vision and natural language processing,
leading to new ML-based user interface approaches. Similarly, significant
progress has been made with more traditional optimization- and
planning-based approaches to accommodate the need for adapting UIs for
screens with different sizes, orientations, and aspect ratios, and in
emerging domains such as VR/AR and 3D interfaces.

The proposed workshop seeks to bring together researchers interested in all
kinds of computational approaches for user interfaces across different
sectors as a community, including those who develop algorithms and models
and those who build applications, to discuss common issues including the
need for resources, opportunities for new applications, design implications
for human-AI interaction in this domain, and practical challenges such as
user privacy


Researchers and practitioners are invited to submit a 4-6 page (excluding
references) position paper in the CHI Publication Format to
[log in to unmask] to participate in the workshop.
Submissions can reflect on past work, in-progress projects, present
challenges and approaches, identified opportunities, or critical opinions
and arguments covering but not limited to the following topics:

- New models, algorithms, and techniques for understanding, generating, and
adapting user interfaces.
- Applications, methodology, and theories motivated by the advances in
computational approaches for understanding, generating, and adapting user
- Practical challenges (e.g., privacy) and resources (e.g., dataset)
relevant to the above topics.

Each submission will be reviewed by the workshop organizers and program
committee members and selection will be based on the paper’s quality,
novelty, and fit of the topic while aiming for a balance of different

Accepted papers will be optionally made available at the workshop website
(with consent from the authors). At least one author of each accepted
position paper must register and attend the workshop and register for at
least one day of the conference. The workshop will be in a hybrid
structure. Authors of each accepted position paper will present their work
at the workshop.


Position paper submission deadline: February 24, 2022
Notification of acceptance: March 15, 2022
Workshop date: April 30 (Saturday) or May 1 (Sunday), 2022


Yue Jiang, MPI
Yuwen Lu, University of Notre Dame
Jeffery Nichols, Apple
Wolfgang Stuerzlinger, Simon Fraser University
Chun Yu, Tsinghua University
Christof Lutteroth, University of Bath
Yang Li, Google
Ranjitha Kumar, UIUC
Toby Jia-Jun Li, University of Notre Dame

Toby Jia-Jun Li, Ph.D. (he/him)
*Assistant Professor*
Department of Computer Science and Engineering
University of Notre Dame
Notre Dame, IN 46556 USA
E-mail: [log in to unmask] <[log in to unmask]> | Homepage: |
Phone: +1 (574) 631-5375
Office: 214B Cushing Hall Of Engineering

    To unsubscribe from CHI-RESOURCES send an email to:
     mailto:[log in to unmask]

    To manage your SIGCHI Mailing lists or read our polices see: