A Socially Assistive Robot for Meal-Time Cognitive Interventions

2012 ◽  
Vol 6 (1) ◽  
Author(s):  
McColl Derek ◽  
Jeanie Chan ◽  
Goldie Nejat
Keyword(s):  
Cognitive Interventions ◽  
Assistive Robot ◽  
Meal Time ◽  
Socially Assistive Robot

DESIGNING INTELLIGENT SOCIALLY ASSISTIVE ROBOTS AS EFFECTIVE TOOLS IN COGNITIVE INTERVENTIONS

2011 ◽  
Vol 08 (01) ◽  
pp. 103-126 ◽  
Author(s):  
JEANIE CHAN ◽  
GOLDIE NEJAT ◽  
JINGCONG CHEN
Keyword(s):  
Cognitive Stimulation ◽  
Human Robot Interaction ◽  
Control Architecture ◽  
Cognitive Interventions ◽  
Training Interventions ◽  
Assistive Robots ◽  
Socially Assistive Robots ◽  
Assistive Robot ◽  
Term Basis ◽  
Socially Assistive Robot

Recently, there has been a growing body of research that supports the effectiveness of using non-pharmacological cognitive and social training interventions to reduce the decline of or improve brain functioning in individuals suffering from cognitive impairments. However, implementing and sustaining such interventions on a long-term basis is difficult as they require considerable resources and people, and can be very time-consuming for healthcare staff. Our research focuses on making these interventions more accessible to healthcare professionals through the aid of robotic assistants. The objective of our work is to develop an intelligent socially assistive robot with abilities to recognize and identify human affective intent to determine its own appropriate emotion-based behavior while engaging in assistive interactions with people. In this paper, we present the design of a novel human-robot interaction (HRI) control architecture that allows the robot to provide social and cognitive stimulation in person-centered cognitive interventions. Namely, the novel control architecture is designed to allow a robot to act as a social motivator by encouraging, congratulating and assisting a person during the course of a cognitively stimulating activity. Preliminary experiments validate the effectiveness of the control architecture in providing assistive interactions during a HRI-based person-directed activity.

The Design of an Intelligent Socially Assistive Robot for Person-Centered Cognitive Interventions

2010 ◽  
Author(s):  
Jeanie Chan ◽  
Goldie Nejat
Keyword(s):  
Cognitive Stimulation ◽  
Human Robot Interaction ◽  
Control Architecture ◽  
The Novel ◽  
Brain Functioning ◽  
Cognitive Interventions ◽  
Training Interventions ◽  
Assistive Robot ◽  
Term Basis ◽  
Socially Assistive Robot

Recently, there has been a growing body of research that supports the effectiveness of using non-pharmacological cognitive and social training interventions to reduce the decline of or improve brain functioning in individuals suffering from cognitive impairments. However, implementing and sustaining such interventions on a long-term basis is difficult as they require considerable resources and people, and can be very time-consuming for healthcare staff. The objectives of our research are to validate the effectiveness of these training interventions and make them more accessible to healthcare professionals through the aid of robotic assistants. Our work focuses on designing a human-like socially assistive robot, Brian 2.0, with abilities to recognize and identify human affective intent to determine its own appropriate emotion-based behavior while engaging in natural and believable social interactions with people. In this paper, we present the design of a novel human-robot interaction (HRI) control architecture for Brian 2.0 that allows the robot to provide social and cognitive stimulation in person-centered cognitive interventions. Namely, the novel control architecture is designed to allow a robot to act as a social motivator by encouraging, congratulating and assisting a person during the course of a cognitively stimulating activity. Preliminary experiments validate the robot’s ability to provide assistive interactions during a HRI-based person-directed activity.

The influence of a socially assistive robot on mood, anxiety, and arousal in children.

2018 ◽  
Vol 49 (1) ◽  
pp. 48-56 ◽  
Author(s):  
Molly K. Crossman ◽  
Alan E. Kazdin ◽  
Elizabeth R. Kitt
Keyword(s):  
Assistive Robot ◽  
Socially Assistive Robot

scholarly journals The design of Lil’Flo, a socially assistive robot for upper extremity motor assessment and rehabilitation in the community via telepresence

2021 ◽  
Vol 8 ◽  
pp. 205566832110018
Author(s):  
Michael J Sobrepera ◽  
Vera G Lee ◽  
Michelle J Johnson
Keyword(s):  
Rural Areas ◽  
Motor Rehabilitation ◽  
Rehabilitation Care ◽  
Rehabilitation Professionals ◽  
Novel Approach ◽  
Assistive Robot ◽  
Care Facilities ◽  
The Rich ◽  
Socially Assistive Robot ◽  
Assistive Robotic

Introduction We present Lil’Flo, a socially assistive robotic telerehabilitation system for deployment in the community. As shortages in rehabilitation professionals increase, especially in rural areas, there is a growing need to deliver care in the communities where patients live, work, learn, and play. Traditional telepresence, while useful, fails to deliver the rich interactions and data needed for motor rehabilitation and assessment. Methods We designed Lil’Flo, targeted towards pediatric patients with cerebral palsy and brachial plexus injuries using results from prior usability studies. The system combines traditional telepresence and computer vision with a humanoid, who can play games with patients and guide them in a present and engaging way under the supervision of a remote clinician. We surveyed 13 rehabilitation clinicians in a virtual usability test to evaluate the system. Results The system is more portable, extensible, and cheaper than our prior iteration, with an expressive humanoid. The virtual usability testing shows that clinicians believe Lil’Flo could be deployed in rural and elder care facilities and is more capable of remote stretching, strength building, and motor assessments than traditional video only telepresence. Conclusions Lil’Flo represents a novel approach to delivering rehabilitation care in the community while maintaining the clinician-patient connection.

Designing an Expressive Head for a Help Requesting Socially Assistive Robot

2020 ◽  
pp. 88-102
Author(s):  
Tim van der Grinten ◽  
Steffen Müller ◽  
Martin Westhoven ◽  
Sascha Wischniewski ◽  
Andrea Scheidig ◽  
...  
Keyword(s):  
Assistive Robot ◽  
Socially Assistive Robot

Month-Long, In-Home Socially Assistive Robot for Children with Diverse Needs

2020 ◽  
pp. 608-618 ◽  
Author(s):  
Caitlyn Clabaugh ◽  
Shomik Jain ◽  
Balasubramanian Thiagarajan ◽  
Zhonghao Shi ◽  
Leena Mathur ◽  
...  
Keyword(s):  
Assistive Robot ◽  
Socially Assistive Robot

scholarly journals Robotics enabled learning patterns: A Study

2016 ◽  
Vol 2 (2) ◽  
Author(s):  
Patrick Dough
Keyword(s):  
Tel Aviv ◽  
Learning Patterns ◽  
Assistive Robot ◽  
Personal Robots ◽  
Individual Consideration ◽  
Extensive Class ◽  
Socially Assistive Robot

Folks need the best for their kids' training and regularly grumble about extensive class sizes and the absence of individual consideration. Goren Gordon, a manmade brainpower analyst from Tel Aviv University who runs the Curiosity Lab there, is the same. He and his wife invest as much energy as they can with their kids, however there are still times when their children are separated from everyone else or unsupervised. At those times, they'd like their kids to have a friend to learn and play with, Gordon says. That is the situation, regardless of the possibility that that buddy is a robot. Working in the Personal Robots Group at MIT, drove by Cynthia Breazeal, Gordon was a piece of a group that built up a socially assistive robot called Tega that is intended to serve as a one-on-one associate learner in or outside of the classroom.

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