| 项目编号: | 1548502
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| 项目名称: | EAGER: Studying the Dynamics of In Home Adoption of Socially Assistive Robot Companions for the Elderly |
| 作者: | Maja Mataric
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| 承担单位: | University of Southern California
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| 批准年: | 2014
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| 开始日期: | 2015-09-01
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| 结束日期: | 2018-08-31
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| 资助金额: | USD250000
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| 资助来源: | US-NSF
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| 项目类别: | Standard Grant
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| 国家: | US
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| 语种: | 英语
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| 特色学科分类: | Engineering - Chemical, Bioengineering, Environmental, and Transport Systems
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| 英文关键词: | project
; robot
; team member
; team dynamics
; software infrastructure
; assistive robot
; annual free interactive workshop
; individual assistant
; home system evaluation
; elderly population
; different interaction context
; family interaction dynamics
; elderly care
; engineering goal
; reinforcement learning technique
; engineering team interaction
; data-driven robot control algorithm
; leading expert
; elderly family member
; hardware
; simple robot programming
; robot system
; fast-growing need
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| 英文摘要: | 1548502(Mataric)
The number of adults over the age of 65 is predicted to reach 83.7 million by 2050. There is accordingly a growing need for technologies for the elderly to complement human care in addressing the fast-growing needs of the elderly population. This project takes a novel approach to developing and evaluating an assistive technology for the elderly: it views the family unit as a team, and focuses on developing a robots as a team member (rather than individual assistant) designed to aid in the achievement of team/family goals. In the project, these goals are focused on the wellbeing of the elderly family member, and include daily social connectedness with others in the family, regular physical and cognitive activity, and medication adherence. These goals are part of the family dynamic and involve the interaction of various team members, pairwise, in subgroups, or all together. The project will develop a hardware and software infrastructure for deploying a socially assistive robot in the home and methods for enabling the robot to adapt to the family members in order to aid in facilitating team dynamics and aiding family goal achievement. The project brings together leading experts in socially assistive robotics, gerontology, and social work, who will spend two years in a tightly knit process of technology development combined with in home system evaluation with participating families.
This project is focused on engineering team interactions and dynamics, with the robot as a member of the team, embedded in a real-world environment and interacting with other team members in real time. The engineering goal is to develop data-driven robot control algorithms and the associated hardware and software infrastructure for enabling robots to serve as team members in the context of family-supported eldercare. The control algorithms, combined with the hardware and software infrastructure, will enable the robot system to perceive and understand the relevant aspects of the family interaction dynamics, be a participant/component in those team dynamics, and influence/streer those team dynamics toward desired family team goals. The project will enable and then iteratively probe the effects of the robot as team member in different interaction contexts (user-family, user-caregiver, family-caregiver). Furthermore, the project tackles three fundamental components in team goal achievement: evaluation of team performance, coordination of actions across multiple team members, and team member role assignment. It also investigates the application of unsupervised, supervised, and reinforcement learning techniques to the domain of elderly care. The research is complemented with a K-12 STEM outreach program consisting of annual free interactive workshops for students in secondary education (grades 6-12; up to 30 students per workshop). Simple robot programming and demonstrations of the hardware and software being developed in the project will be used to discuss how assistive robots could play a role in society, starting with the students' families. |
| 资源类型: | 项目
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| 标识符: | http://119.78.100.158/handle/2HF3EXSE/93452
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| Appears in Collections: | 影响、适应和脆弱性
气候减缓与适应
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| Recommended Citation: | |
Maja Mataric. EAGER: Studying the Dynamics of In Home Adoption of Socially Assistive Robot Companions for the Elderly. 2014-01-01.
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