First Workshop on Artificial Intelligence for Function, Disability, and Health

January 7-8, 2021 12AM-3AM UTC
(January 6-7 PM in Americas)
An IJCAI-PRICAI 2020 workshop

About AI4Function

The First Workshop on Artificial Intelligence for Function, Disability, and Health (AI4Function 2020) addresses the role of Artificial Intelligence (AI) technologies in collecting and analyzing information on function and disability. Function, as the "lived experience of health", describes physical and mental wellness at the whole-person level, and is a key indicator for global health. Better information on function is critical in light of global demographic shifts and increases in chronic conditions, and AI technologies are well-poised to address this need. This workshop brings together members of the AI and health communities interested in function to chart the course of this area of research.

Why Join Us

  • Showcase your original research on AI and function/disability
  • Present your previous research to a new audience
  • Learn from other research from around the world
  • Set the course of research on AI for functional status information


As the workshop is being held virtually, all times are given in Universal Coordinated Time (UTC).

Corresponding times for world locations:

  • Eastern United States: UTC-5 (7 - 10pm Jan 6 and Jan 7)
  • Central United States: UTC-6 (6 - 9pm Jan 6 and Jan 7)
  • Pacific United States: UTC-8 (4 - 7pm Jan 6 and Jan 7)
  • Western Europe: UTC+1 (1 - 4am Jan 7 and Jan 8)
  • Malaysia/China Standard Time: UTC+8 (8 - 11am Jan 7 and Jan 8)
  • Japan: UTC+9 (9am - 12pm Jan 7 and Jan 8)

12:00AM - 12:30AM UTC

Opening Remarks

AI4Function 2020 Organizing Committee

12:30AM - 1:30AM UTC

Keynote Presentation: Digital Health Sciences: from Discovery to Delivery in Health care AI

Hongfang Liu, PhD Professor of Biomedical Informatics and Chair, Division of Digital Health Sciences, Department of Health Sciences Research, Mayo Clinic

1:30AM - 2:00AM UTC


2:00AM - 2:20AM UTC

Variability in General Health Status Post Liver Transplantation

Lisiane Pruinelli, Alana Schmiesing, Michelle James, Michelle Mathianson-Moore, Jesse Schold, Gyorgy Simon

2:20AM - 2:40AM UTC

Challenges of developing a natural language processing method with electronic health records to identify persons with chronic mobility disability

Nicole Agaronnik, Charlotta Lindvall, Areej El-Jawahri, Wei He, Lisa Iezzoni

2:40AM - 3:00AM UTC

Conversational Agent for Daily Living Assessment Coaching

Aditya Gaydhani, Raymond Finzel, Sheena Dufresne, Maria Gini, Serguei Pakhomov

3:00AM - 3:10AM UTC

Day 1 Closing Remarks

AI4Function 2020 Organizing Committee

12:00AM - 12:10AM UTC

Day 2 Opening Remarks

AI4Function 2020 Organizing Committee

12:10AM - 12:30AM UTC

Person-Independent Multimodal Emotion Detection for Children with High-Functioning Autism

Annanda Sousa, Mathieu d’Aquin, Manel Zarrouk, Jennifer Holloway

12:30AM - 12:50AM UTC

Assistive Mobile Application for the Blind

Ismail Sahak, Huey Fang Ong, Syuhada Abdul Rahman

12:50AM - 1:00AM UTC


1:00AM - 2:00AM UTC

Panel Discussion: Next Steps and Future Directions for AI for Function and Disability

Qing Zeng, PhD Director, Biomedical Informatics Center & Professor, Department of Clinical Research and Leadership, George Washington University

Chih-Hung Chang, PhD Professor of Occupational Therapy, Medicine and Orthopaedic Surgery, Washington University in St. Louis

Lisa Iezzoni, MD, MSc Professor of Medicine, Harvard Medical School

Charles Jonassaint, PhD MHS Assistant Professor of Medicine, Social Work and Clinical and Translational Science, University of Pittsburgh

Panel discussion generously sponsored by the National Center for Medical Rehabilitation Research (NCMRR)

2:00AM - 2:10AM UTC


2:10AM - 2:30AM UTC

Privacy-Preserving Monitoring System with Ultra Low-Resolution Infrared Sensor

Miyuki Ogata, Shogo Murakami, Takumi Mikura, Ikuko Eguchi Yairi

2:30AM - 2:50AM UTC

Building a Mobility Dictionary for Whole-Person Functional Assessment

Ayah Zirikly, Bart Desmet, Denis Newman-Griffis, Pei-Shu Ho, Jonathan Camacho Maldonado, Maryanne Sacco, Julia Porcino

2:50AM - 3:00AM UTC

Closing Remarks

AI4Function 2020 Organizing Committee

Call for Papers

Important Dates

All times are anywhere on Earth (AoE)
  • Submissions due: May 6, 2020 June 19, 2020 (extended)
  • Notification of acceptance: June 3, 2020 July 14, 2020
  • Camera-ready versions due: June 24, 2020 July 24, 2020
  • Workshop: July 12, 2020 January 2021 (Date TBD)


The First Workshop on Artificial Intelligence for Function, Disability, and Health (AI4Function 2020) invites the submission of abstracts, short and long papers describing research that focuses on applying informatics methods, artificial intelligence (AI) or data mining techniques in the area of whole-person care, disability, and functional status information. Functional Status Information (FSI) describes physical and mental wellness at the whole-person level (as opposed to the cellular or organ level), and includes information on activity performance, social role participation, and environmental and personal factors that affect well-being and quality of life. Collecting and analyzing this information is critical to addressing the data needs in caring for aging global populations, and providing effective care for individuals with chronic conditions, multi-morbidity, and disability. However, FSI has proven difficult to capture systematically within existing paradigms, leaving a space ripe for technological innovation. AI4Function is a venue for researchers cutting across data science and AI methods to discuss new ways to collect and utilize FSI within healthcare delivery, public health, and social well-being.


Relevant topics for the workshop include, but are not limited to:

  • Informatics methods applied to FSI, including information extraction, information retrieval, and classification of FSI (e.g. mobility, self-care, mental functioning)
  • Applications of AI for functional status measurement
  • Usage of FSI to model health outcomes/resource utilization
  • Terminologies and ontologies related to functional status
  • Analysis of FSI data (e.g., language data, wearable measurements)
  • Combinations of multi-modal data to capture functional status

Data sources of interest include, but are not limited to:

  • Medical records
  • Disability and work programs
  • Health and human services data
  • Wearable devices
  • Social media

Targeted data types include, but are not limited to:

  • Unstructured (free text) narrative
  • Structured medical data (e.g., lab reports, range of motion assessments)
  • Semi-structured reports (e.g., state welfare visit reports)
  • Standardized clinical surveys (e.g., PROMIS, AM-PAC, PHQ-9)
  • Population surveys
  • Wearable device measurements
  • Video and audio recordings

Submission Instructions

All submissions to AI4Function should be anonymous using the EasyChair submission site. Submissions should follow IJCAI-PRICAI 2020 formatting guidelines; LaTeX and Word templates are available in the IJCAI authors kit.

At least one author of each accepted paper/abstract must register for and attend the workshop.

We invite the following types of submissions:

  • Long papers are no longer than seven pages in total: six pages for the main body of the paper (including figures), and one additional page for references that don’t fit in the six body pages. Long papers are expected to describe reports of original, unpublished research.
  • Short papers follow a 4+1 format, up to four pages for the body of the paper and one page for references that don’t fit within the four-page limit. Short papers are appropriate for preliminary results, work in progress, etc.
  • Abstracts are a maximum of two pages, including references. Unlike long/short papers, abstracts can describe previously-published research, and are a great way to present recent work to a new audience or show work in progress.
    For abstracts, a 75-word maximum short description should be provided when submitting your abstract, but does not need to be included in the PDF.

Authors are required to submit their papers in PDF format. Papers that are not properly anonymized or are longer than the page limit will be rejected without review.

All submissions to AI4Function will go through a double-blind reviewing process. Accepted abstracts will be presented in the poster session. Accepted papers will be presented as either a talk or a poster, depending on the reviewers’ recommendations. Accepted short and long papers will be published in the workshop proceedings on CEUR-WS. We are exploring a journal track for extended versions of accepted papers (TBC).

All individuals involved in the AI4Function review process must adhere to the IJCAI conflict of interest policy. Details can be found at the IJCAI website.

Have any questions about submissions?

Organizing Committee

Denis Newman-Griffis
University of Pittsburgh
National Institutes of Health Clinical Center
Serguei V Pakhomov
University of Minnesota
Suzanne Tamang
Stanford University
Ayah Zirikly
Johns Hopkins University
National Institutes of Health Clinical Center
Bart Desmet
National Institutes of Health Clinical Center
Hongfang Liu
Mayo Clinic
Junichi Tsujii
AIST, Japan

Program Committee