assistive robotics and assistive technology for the aging population jenay m. beer university of...
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Assistive Robotics and Assistive Technology for the Aging Population
Jenay M. BeerUniversity of South Carolina
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Aging in place
How can I help older adults?
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• Director of the Assistive Robotics and Technology Lab
• Associate Director of Usability SmartHome
• Joint appointment– Computer Science– Social Work
• Degree: Engineering Psychology
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“The study of human beings and their interactions with products, environments, and equipment in performing tasks and activities.”
(Czaja, 1997)
What is Engineering Psychology?
Why focus on designing for older adults?
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Home sweet home
• Older adults growing segment of population• Goal to “age-in-place”– 80% older adults live independently in own home• Houses, apartments, assisted living, retirement
communities
U.S. Census Bureau. 2011Lawton, 1990Giuliani, Scopelliti, & Fornara, 2005
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Challenges of aging-in-place• Healthy older adults maintain their
home– but not without difficulty
• Age is a marker of change– Physical– Perceptual– Cognitive
• Stress– Age-related changes– Caregiver stress
Robots and assistive technology have the potential to reduce the stress/workload!
Fausset et al., 2011; Fisk et al., 2009; Rogers et al., 1998; Clark, Czaja, & Weber, 1990
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What is a Robot?
An intelligent, or “smart”, robot is a computer-based system that is• Autonomous (at some
level)
• proactive• Reactive
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Autonomy
Less Autonomous More Autonomous
“Someone controls robot”“Robot controls itself”
Beer, Fisk, and Rogers (2015) Journal of HRI
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iRobot Roomba
Willow Garage TexaiPhilips iCat
TWENDY-ONE
Willow Garage PR2
MIT CSAIL
MySpoon
Ri-Man Why aren’t these robots commonplace?
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Human-Robot Interaction (HRI)
“dedicated to understanding, designing, and evaluating robotic systems for use by or with
humans” (Goodrich & Schultz, 2007, p. 204)
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Robots as a compensatory technology for older adults
Tasks to be compensated
by robot
Barriers and facilitators of acceptance
Design guidelines
Implementation of design
User adoption of
robot
User Studies
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TELEPRESENCE
Less Autonomous More Autonomous
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Telepresence for CCRCs
• Continuous Care Retirement Communities (CCRCs)– Range of care – from independent
living to skilled nursing
• Will CCRC administrators, health care workers, and staff want to use telepresence?
Liles, Stuck, Kacmar, & Beer (2015) HRILiles, Stuck Kacmar, & Beer (2015) HCII
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Goals of Research
To investigate:
1. CCRC employees' perceived benefits and concerns about the system
2. CCRC employees' views on how a smart presence system may be used
Liles, Stuck, Kacmar, & Beer (2015) HRILiles, Stuck Kacmar, & Beer (2015) HCII
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Area Count
Administration(includes directors, admin, and IT) 9
Activities(includes 1 activities coordinator/ 3 directors) 4
Nursing(includes 1 RN, 1 LPN & 3 CNAs) 5
Other(includes 2 Chaplains, 1 Marketing employee, 1 Human Resources employee, 1 IT Support Engineer & 1 Office Manager ) 6
Work Area/Department
Participants (N=23, 17 female, 6 male)Recruited from 2 CCRCs in Columbia, SC
Liles, Stuck, Kacmar, & Beer (2015) HRILiles, Stuck Kacmar, & Beer (2015) HCII
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Method
• 1 hour structured interview– Pilot and local user, within subjects– “How would you find the BEAM useful? Do you have
any concerns? How might you use the BEAM?”
Liles, Stuck, Kacmar, & Beer (2015) HRILiles, Stuck Kacmar, & Beer (2015) HCII
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Segment Data
ConcernsBenefits
Develop coding schemePROS
1. visualization2. Monitoring3. Convenience4. Etc
CONS1. Privacy2. Reliability3. Harm4. etc
Code transcripts (MaxQDA)
Coder 1 Coder 2 Not actual study data
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Benefit Example QuotesConvenienceEffort SavingTime Saving
“–you’ve got a staff member tied up. So you could do that remotely. . . particularly in the evening when our staff is shorter and there’s not as much demand for staffing interaction.”
“– before we could move an assisted living resident into the community... We could do the level of care assessment without the resident having to come in.”
Visualization “– it can go places, so it’d be better than like getting a photograph . . .”
Socialization “– and we’re fortunate to have a lot of family involvement, but that does not mean everybody has family visiting and we have people that have children out of state, a lot of them do. So I think the positive is ten-fold by getting some interaction with their loved ones. “
Mobility “I like the mobility of it. I think it’s neat the way it – like it moves around . . .”
Perceived benefits (interview)
Liles, Stuck, Kacmar, & Beer (2015) HRILiles, Stuck Kacmar, & Beer (2015) HCII
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Concern Example Quotes
Emotional harm to others/resistance
“I guess with some dementia residents it might scare them…”
Limitations “. . . that might be a little challenging on entering the room if you can’t knock. “
Reduce in person interaction (perception)
“… it could be perceived that we’re trying to replace human interaction, which we are not. We’re actually trying to add to it.”
Physical Harm to others“I think another concern would be it was very quiet… they’re elderly, they might not see it . . .there’d be a tripping type situation... what would happen if it tipped over?
Cost “Well, my concerns would be really just the cost of using it compared to other technologies”
Perceived concerns (interview)
Liles, Stuck, Kacmar, & Beer (2015) HRILiles, Stuck Kacmar, & Beer (2015) HCII
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• HIPAA– 60% stated considerations for
HIPAA are necessary– 23.3% said it is not a concern– 16.7% didn’t know
Perceived concerns (interview)
Liles, Stuck, Kacmar, & Beer (2015) HRILiles, Stuck Kacmar, & Beer (2015) HCII
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Interaction (staff, pa-tients, doctors)
33%
Interaction (family, friends, guests)
12%
Conduct/attend meetings9%
Activities/classes8%
Health monitoring8%
Telemedicine/telehealth8%
Tour7%
Fitness/exercise3%
Make remote visits3%
Oversee the facility3%
Medication reminder2%
Rehabilitation2%
Entertainment 1% Unclear/Don't Know
1%
Times mentioned (N=25)
Use cases (interview)
Liles, Stuck, Kacmar, & Beer (2015) HRILiles, Stuck Kacmar, & Beer (2015) HCII
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MOBILE MANIPULATORS
Less Autonomous More Autonomous
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Willow Garage’s PR2 - GATSBII
• 7 DOF Arms, 1 DOF grippers• Counter balanced arms with
4lb payload• Telescoping spine 4’4-5’5• RFID antennas
• Base size = most wheelchairs• Head sensors
– Color, wide-angle, narrow-angle, and LED texture projector cameras
– Laser scanner (above shoulders)– Xbox Kinect
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Lift / Move Objects
(robot)
Locate / Retrieve Objects
(robot)
Cleaning House(robot)
Beer et al., (2012) HRI; Beer et al., (2012) HFES;Prakash et al., (2014) HRI; Smarr et al., (2014) SORO
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Medication Delivery
(robot)
Medication Decision Making
(human)
Beer et al., (2012) HRI; Beer et al., (2012) HFES;Prakash et al., (2014) HRI; Smarr et al., (2014) SORO
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Dishes by Hand(human)
Prepping Meals(human)
Personal Care(human)
Beer et al., (2012) HRI; Beer et al., (2012) HFES;Prakash et al., (2014) HRI; Smarr et al., (2014) SORO
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Conclusions
• For robots to be readily accepted by older users and caregivers– Design to their needs– Understand how to reduce stress and
workload (not add to it!)
• Many variables important to consider…
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Customize Robot Behavior
Collaboration
Range of Motionand
Payload
Size
Conditional Use
Trust
Control Methods
Beer et al., (2012) HRI; Beer et al., (2012) HFES;Prakash et al., (2014) HRI; Smarr et al., (2014) SORO
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Acknowledgements
• SeniorSMART• Department of Education
• National Institute on Disability and Rehabilitation Research
• CREATE • NIH/NIA• NSF
Jenay M. Beer [email protected]