AI in Eldercare:New Solutions to Old Problems

AAAI Fall 2008 Symposium, November 7-9, Washington, DC

Presentation Schedule

 

Links from the Symposium:

         Beth Loganís paper: A Long-Term Evaluation of Sensing Modalities for Activity Recognition from Ubicomp 2007 and slides.

         Get the dataset from the MIT PlaceLab.

         Quality of life grand challenge dataset

         University of Rochester dataset

         For more info on the ICAPS 2010 Recognition Challenge, email Henry Kautz.

 

If you want to add more links, email Marge Skubic

 

Symposium Announcement

There is a wide range of problems facing older adults as they age.Many of these problems represent old challenges to health care providers, including chronic illnesses like heart disease, diabetes, and hypertension, as well as deterioration of physical function, high risk of falling, stroke-induced incapacitation, memory problems, cognitive decline, and loneliness.At the same time, the population of older adults is growing dramatically, giving concern as to how these people will get the care they need.

AI technology offers the potential for innovative solutions and indeed, the research community has been active in proposing solutions to these challenges, spanning such areas as sensing and sensory perception, computer vision, planning, reasoning, smart homes, robotics and human-robot interaction.This is an AI application area that has the potential to make a significant impact on the lives of many people, and there is widespread interest from many directions.A successful symposium was held 3 years ago on the topic; in 2008, we build on the 2005 symposium and invite an interdisciplinary group with joint interests in addressing aging-related challenges. In addition to AI researchers, gerontologists, geriatric nurses and psychiatrists, rehabilitation therapists, social workers, counselors, epidemiologists, and those from other related professions and disciplines are invited to attend.

The time is right to again bring together the AI researchers tackling aging-related problems and gerontology experts who can offer an understanding of the problems.This connection with gerontology experts will help the AI researchers make sure the proposed solutions solve the right problems, while at the same time will offer new ideas to gerontology experts as to the possibilities at hand.The symposium will provide a forum to share ideas, foster new collaborations, and investigate funding opportunities.

The symposium will focus on a variety of topics that address the physical, cognitive, and emotional challenges of aging, including those listed below:

 

Format

The symposium will consist of a combination of presentation and discussion styles and will provide a mixture of research at various stages, from the more established to new emerging work.The following types of presentations and discussion are planned:

 

Submissions

Submit long papers (up to 8 pages) and short pages (up to 3 pages) to Marge Skubic at skubicm@missouri.edu.

Deadline: May 29, 2008

Links to Author Instructions and the Permission to Distribute Form, which will be required for final papers.A copyright form is NOT required for symposium papers.

 

Organizing Committee

Michael Anderson, University of Hartford, USA

anderson@hartford.edu

Susan Anderson, University of Connecticut, USA

Susan.Anderson@uconn.edu

Tim Bickmore, Northeastern University, USA

bickmore@ccs.neu.edu

Cynthia Breazeal, MIT, USA

cynthiab@media.mit.edu

Jesse Hoey, University of Dundee, Scotland

jessehoey@computing.dundee.ac.uk

Stephen Intille, MIT, USA

intille@mit.edu

Ben Krose, Univ. of Amsterdam, Netherlands

krose@science.uva.nl

Alex Mihailidis, University of Toronto, Canada

alex.mihailidis@utoronto.ca

Federico Pecora, Orebro University, Sweden

fpa@aass.oru.se

Rich Simpson, University of Pittsburgh, USA

ris20@pitt.edu

Marge Skubic (chair), University of Missouri, USA

skubicm@missouri.edu

Holly Yanco, Univ. of Massachusetts Lowell, USA

holly@cs.uml.edu

Howard Wactlar, Carnegie Mellon University, USA

wactlar@cmu.edu