The AAAI 2002 workshop on
Automation as Caregiver:
Role of Intelligent Technology in Elder Care
July 29, 2002, Edmonton, Alberta, Canada.
Part of AAAI 2002
Karen Haigh, Honeywell Laboratories
An unprecedented boom in the elderly population will hit all industrialized
nations and many other countries over the next 30 years. The number of people
in the U.S. over the age of 65 will double from 34.7 million now to 69.4
million by 2030 [AOA, 1998].
Holly Yanco, University of Massachusetts Lowell
Barry Brumitt, Microsoft Research
Michael Coen, Massachusetts Institute of Technology.
Victor Lesser, University of Massachusetts
As the cognitive and physical health of elders begins to deteriorate, they
require increasing assistance from caregivers. The strain on families and
individuals is enormous--informal caregivers use prescription drugs for
depression, anxiety, and insomnia at a rate of two to three times that of the
average population [Gallagher et al, 1989].
In many cases, governments, social service organizations and even individuals
and families are turning to technological solutions to aid in care giving for
this elderly population. While much of this technology continues to occupy
traditional assistive roles such as aiding in walking, door opening, and
communication, increasingly advanced technological solutions are being proposed
to aid in monitoring, diagnosis, situation awareness, decision aiding and the
direct automation of tasks for either the elderly themselves or for their
caregivers. From the human-factors perspective, failure to consider the humans'
needs, desires, capabilities and limitations will lead to unsatisfactory
technological solutions at best, and disasters at worst.
By bringing together researchers from robotics, artificial intelligence and
human factors, this workshop will help foster a coordinated solution for
automation as caregiver for the elderly. We are interested in
submissions covering both integrated solutions as well as particular components.
We specifically invite researchers from the following areas:
Specific technologies that support one or more of these areas include
knowledge representation, planning, machine learning, situation assessment, task tracking,
agents, software architectures
and human computer/robot interfaces.
Abstracts for papers are available here. The proceedings can be ordered from AAAI.
- Assistive technology: devices that aid with mobility, medication
management, and household tasks such as eating and grooming.
- Cognitive Aids: technology that supports declining cognitive
skills, including reminders, task instruction, and methods to reduce
cognitive effort such as shopping and accessing transportation schedules.
- Passive Monitoring: devices and reasoning systems that recognize the
elder's activity and learn to detect abnormal situations.
- Decision-making: reasoning systems that respond to situations and
the elder's needs by interacting with devices in the home, interacting with
the elder, or contacting caregivers.
- Human factors: interfaces that meet elder's needs and
capabilities - motor, sensory and cognitive.
- Adaptation: techniques to recognize the elder's changing capabilities.
This was one-day workshop with
- Paper presentations from each paper
- An invited talk from
Bill Mann and
International Center for Technology for Successful Aging at the University of Florida. They will present the population, needs and issues, and then discuss technologies upon which we can build applications to address those needs.
- Two panel sessions, topics:
- Technical needs and opportunities. Panel organized by Holly Yanco, who asked panelists to name "the most important need for researchers to address"
- Christine Lisetti: emotion: issues of loneliness, depression, motivating elders, etc.
- Henry Kautz: caregiver burnout
- Joelle Pineau: caregiver burnout, and the sensory & cognitive decline over time
- Bill Mann: medical issues that kill or dramatically affect quality of like, like arthritis and circulatory system
- Issues and Ethics. Panel organized by Chris Miller, who asked panelists to generate a provocative statement whether or not they agree with it.
- Chris Geib: All data generated by these monitoring systems should be YOURS to give out as you please to doctors or monitoring agencies, and they should be required to sign non-disclosure agreements.
- Cynthia Marling: Every decision made by the system should have a human-in-the-loop who is responsible (liable) for the system's behavior.
- Martha Pollack: System design must have professional ethicists and the target community involved so that issues of not only safety and privacy are addressed, but also dignity.
- Chris Miller: For at least the next 5 years or so, there should be a certification board (not unlike the FAA) who regulates system capabilities.
- AOA, 1998.
- Administration on Aging, Profile of Older Americans: 1998, http://www.aoa.gov.
- Gallagher, 1989.
- Gallagher, D., Rose, J., Rivera, P., Lovett, S., and Thompson, L.W. (1989). Prevalence of Depression in Family Caregivers, The Gerontologist, 29(4):449-456.
|Karen Haigh |
lastname_firstname at htc.honeywell.com
Honeywell Laboratories |
3660 Technology Drive
Minneapolis, MN 55418
|Holly Yanco |
Computer Science Department |
University of Massachusetts Lowell
One University Avenue, Olsen Hall
Lowell, MA 01854
|Barry Brumitt ||
One Microsoft Way
Redmond, WA 98052
|Michael Coen ||
Artificial Intelligence Laboratory
Massachusetts Institute of Technology
545 Technology Square, Room 835
Cambridge, MA 02139
|Victor Lesser ||
Computer Science Department
University of Massachusetts
Amherst, MA 01003
Last modified: August 8, 2002