Social Intelligence for a Task-Driven Assistive Robot

2010 ◽  
Author(s):  
Goldie Nejat ◽  
Maurizio Ficocelli
Keyword(s):  
Social Intelligence ◽  
Effective Interaction ◽  
Well Being ◽  
Emotional Behavior ◽  
Control Architecture ◽  
Patient Centered ◽  
Assistive Robots ◽  
Assistive Robot ◽  
Emotional Model ◽  
Socially Assistive Robot

The objective of a socially assistive robot is to create a close and effective interaction with a human user for the purpose of giving assistance. In particular, the social interaction, guidance and support that a socially assistive robot can provide a person can be very beneficial to patient-centered care. However, there are a number of conundrums that must be addressed in designing such a robot. This work addresses one of the main limitations in the development of intelligent task-driven socially assistive robots: Robotic control architecture design and implementation with explicit social and assistive task functionalities. In particular, in this paper, a unique emotional behavior module is presented and implemented in a learning-based control architecture for human-robot interactions (HRI). The module is utilized to determine the appropriate emotions of the robot, as motivated by the well-being of the person, during assistive task-driven interactions. A novel online updating technique is used in order to allow the emotional model to adapt to new people and scenarios. Preliminary experiments presented show the effectiveness of utilizing robotic emotional assistive behavior during HRI in assistive scenarios.

A pilot Project Exploring the Utility and Acceptability of a Socially-assistive Robot in an Assessment Unit for People with Neuropsychiatric Symptoms

2017 ◽  
Vol 41 (S1) ◽  
pp. S104-S104
Author(s):  
S. Loi ◽  
R. Khosla ◽  
K. Nguyen ◽  
N. Lautenschlager ◽  
D. Velakoulis
Keyword(s):  
Neuropsychiatric Symptoms ◽  
Well Being ◽  
Pilot Project ◽  
Future Directions ◽  
Assistive Robots ◽  
Socially Assistive Robots ◽  
Assistive Robot ◽  
Potential Benefits ◽  
Competing Interest ◽  
Socially Assistive Robot

ObjectivesSocially-assistive robots have been used with older adults with cognitive impairment in residential care, and found to improve mood and well-being. However, there is little known about the potential benefits in adults with other neuropsychiatric symptoms.AimsThe aim of this project was explore the utility and acceptability of a socially-assistive robot in engaging adults with a variety of neuropsychiatric symptoms.MethodsBetty, a socially-assistive robot was installed in a unit which specialises in the assessment and diagnosis of adults presenting with neuropsychiatric symptoms. She is 39 cm tall, has a baby-face appearance and has the ability to engage individuals through personalised services which can be programmed according to individuals’ preferences. These include singing songs and playing games. Training for the nursing staff who were responsible for incorporating Betty into the unit activities was provided. The frequency, duration and type of activity which Betty was involved in was recorded. Patients admitted who could provide informed consent were able to be included in the project. These participants completed pre- and post-questionnaires.ResultsEight patients (mean age 54.4 years, SD 13.6) who had diagnoses ranging from depression and schizophrenia participated. Types of activities included singing songs, playing Bingo and reading the news. Participants reported that they were comfortable with Betty and did not feel concerned in her presence. They enjoyed interacting with her.ConclusionsThis pilot project demonstrated that participants found Betty to be acceptable and she was useful in engaging them in activities. Future directions would involve larger sample sizes and different settings.Disclosure of interestThe authors have not supplied their declaration of competing interest.

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 Interactive Socially Assistive Robot for Patient Care

2007 ◽  
Author(s):  
Goldie Nejat ◽  
Brian Allison ◽  
Nadia Gomez ◽  
Andrew Rosenfeld
Keyword(s):  
Patient Care ◽  
Well Being ◽  
Design Parameters ◽  
Assistive Robots ◽  
Assistive Robot ◽  
Quality Of Patient Care ◽  
Natural Interactions ◽  
Socially Assistive Robot ◽  
Hospital Wards

It is anticipated that the use of assistive robots will be one of the most important service applications of robotic systems of the future. In this paper, a unique non-contact socially assistive robot consisting of a human-like demeanor is presented for utilization in hospital wards and veteran homes to study its role and impact on the well-being of patients, addressing patient’s needs and its overall effect on the quality of patient care. The robot will be an embodied entity that will participate in hands-off non-contact social interaction with a patient during the convalescence, rehabilitation or end-of-life care stage. The robot has been designed as a platform to incorporate the three design parameters of embodiment, emotion and non-verbal dialog to encourage natural interactions between the patient and itself. For perception, we describe the first application of utilizing varying intensity depth imaginary, via a 3D camera, for non-contact and non-restricting 3D gesture recognition and characterization.

An Expressive Socially Assistive Robot for Health-Care Applications

2008 ◽  
Author(s):  
Brian Allison ◽  
Goldie Nejat
Keyword(s):  
Degrees Of Freedom ◽  
Mechanical Design ◽  
Well Being ◽  
Design Parameters ◽  
Assistive Robots ◽  
Assistive Robot ◽  
Health Care Applications ◽  
Head Gestures ◽  
Socially Assistive Robot ◽  
Hospital Wards

It is anticipated that the use of assistive robots will be one of the most important service applications of robotic systems of the future. In this paper, a unique non-contact socially assistive robot consisting of a human-like demeanor is presented for utilization in hospital wards and veteran homes to study its role and impact on the well-being of patients, addressing patient’s needs and its overall effect on the quality of patient care. The robot will be an embodied entity that will participate in hands-off non-contact social interaction with a patient during the convalescence, rehabilitation or end-of-life care stage. The robot has been designed as a platform to incorporate the three design parameters of embodiment, emotion and non-verbal communication to encourage natural interactions between a person and itself. In this paper, we present the mechanical design of the robot. The robot is able to communicate via: (i) a unique human-like face with artificial skin that utilizes the modeling of muscles of a human face to express facial expressions, (ii) a 3 degrees-of-freedom (DOF) neck capable of expressing head gestures, and (iii) an upper torso consisting of a 2 DOF waist and two 4 DOF arms designed to mimic human-like body language.

The Design of an Expressive Humanlike Socially Assistive Robot

2008 ◽  
Vol 1 (1) ◽  
Author(s):  
Brian Allison ◽  
Goldie Nejat ◽  
Emmeline Kao
Keyword(s):  
Mechanical Design ◽  
Well Being ◽  
Upper Body ◽  
Design Parameters ◽  
Assistive Robots ◽  
Actuation System ◽  
Assistive Robot ◽  
The Face ◽  
Socially Assistive Robot ◽  
Hospital Wards

It is anticipated that the use of assistive robots will be one of the most important service applications of robotic systems of the future. In this paper, the development of a unique noncontact socially assistive robot consisting of a humanlike demeanor is presented for utilization in hospital wards and nursing∕veteran homes to study its role and impact on the well-being of patients, addressing patient’s needs and its overall effect on the quality of patient care. The robot will be an embodied entity that will participate in hands-off noncontact social interaction with a patient during the convalescence, rehabilitation, or end-of-life care stage. The robot has been designed as a platform to incorporate the three design parameters of embodiment, emotion, and nonverbal communication to encourage natural human-robot interactions. Herein, we present the overall mechanical design of the socially assistive robot focusing mainly on the development of the actuation system of the face, head, and upper body. In particular, we propose the development of a unique muscle actuation mechanism for the robotic face to allow for the display of rich facial expressions during social assistive interaction scenarios. The novelty of the actuation system is in its use of the dependency of facial muscle activity to minimize the number of individual actuators required to control the robotic face.

A Socially Assistive Robot to Help With Getting Dressed

2017 ◽  
Author(s):  
Leo Woiceshyn ◽  
Yuchi Wang ◽  
Goldie Nejat ◽  
Beno Benhabib
Keyword(s):  
Impression Formation ◽  
Recommendation System ◽  
Well Being ◽  
Autism Spectrum ◽  
Substantial Impact ◽  
Assistive Robots ◽  
Socially Assistive Robots ◽  
Assistive Robot ◽  
Socially Assistive Robot ◽  
Clothing Choices

Getting dressed is a universally performed daily activity, and has a substantial impact on a person’s well-being. Choosing appropriate outfits to wear is important, as clothes protect a person from elements in the environment, and act as a barrier against harsh surfaces [1]. Studies have shown strong correlation between clothing choices and perceptions of sociability, emotional stability, and impression formation (e.g., [2]). This activity, however, can be difficult for some individuals, as they may lack the required reasoning and judgement required [3]. They include children with intellectual and learning disabilities [4] (e.g., Down syndrome [5], dyspraxia [6], autism spectrum disorder [7]), and older adults suffering from dementia including Alzheimer’s disease [8,9], or HIV-associated neurocognitive disorders [10]. In this paper, we present the development of a novel autonomous robotic clothing recommendation system to provide appropriate clothing options, which are personalized to a user’s wardrobe. This research expands on our previous work on socially assistive robots providing assistance with other daily activities, including meal eating [11] and playing Bingo games [12]. Currently, a few smartphone applications exist for providing outfit choices (e.g., [13,14]); however, unlike our proposed system, they are fashion-focused and not able to adapt online to a user’s preferences. Furthermore, by utilizing a socially assistive robot, we provide a more engaging interaction. We utilize the small Nao social robot, Leia, to guide and interact with a user in order to obtain information regarding his/her preferences, the activity for which the clothing will be worn, as well as the environment in which the activity will take place in order to make outfit recommendations, Fig. 1.

scholarly journals Effects of Assistive Robot Behavior on Impressions of Patient Psychological Attributes: Vignette-Based Human-Robot Interaction Study

10.2196/13729 ◽  
2019 ◽  
Vol 21 (6) ◽  
pp. e13729 ◽  
Author(s):  
Meia Chita-Tegmark ◽  
Janet M Ackerman ◽  
Matthias Scheutz
Keyword(s):  
Health Care ◽  
Health Care Providers ◽  
Health Management ◽  
Human Robot Interaction ◽  
Care Providers ◽  
Patient Centered ◽  
Human Relationships ◽  
Assistive Robots ◽  
Assistive Robot ◽  
Health Care Context

Background As robots are increasingly designed for health management applications, it is critical to not only consider the effects robots will have on patients but also consider a patient’s wider social network, including the patient’s caregivers and health care providers, among others. Objective In this paper we investigated how people evaluate robots that provide care and how they form impressions of the patient the robot cares for, based on how the robot represents the patient. Methods We have used a vignette-based study, showing participants hypothetical scenarios describing behaviors of assistive robots (patient-centered or task-centered) and measured their influence on people’s evaluations of the robot itself (emotional intelligence [EI], trustworthiness, and acceptability) as well as people’s perceptions of the patient for whom the robot provides care. Results We found that for scenarios describing a robot that acts in a patient-centered manner, the robot will not only be perceived as having higher EI (P=.003) but will also cause people to form more positive impressions of the patient that the robot cares for (P<.001). We replicated and expanded these results to other domains such as dieting, learning, and job training. Conclusions These results imply that robots could be used to enhance human-human relationships in the health care context and beyond.

scholarly journals Development and Preliminary Investigation of a Semiautonomous Socially Assistive Robot (SAR) Designed to Elicit Communication, Motor Skills, Emotion, and Visual Regard (Engagement) from Young Children with Complex Cerebral Palsy: A Pilot Comparative Trial

2019 ◽  
Vol 2019 ◽  
pp. 1-14
Author(s):  
Cecilia Clark ◽  
Levin Sliker ◽  
Jim Sandstrum ◽  
Brian Burne ◽  
Victoria Haggett ◽  
...  
Keyword(s):  
Cerebral Palsy ◽  
Preliminary Investigation ◽  
Comparative Trial ◽  
Assistive Technologies ◽  
Assistive Robotics ◽  
Assistive Robots ◽  
Assistive Robot ◽  
Play Interactions ◽  
Socially Assistive Robot ◽  
Positive Engagement

Through play, typically developing children manipulate objects and interact with peers to establish and develop physical, cognitive, language, and social skills. However, children with complex disabilities and/or developmental delays have limited play experiences, thus compromising the quality of play and acquisition of skills. Assistive technologies have been developed to increase opportunities and level of interaction for children with disabilities to facilitate learning and development. One type of technology, Socially Assistive Robotics, is designed to assist the human user through social interaction while creating measurable growth in learning and rehabilitation. The investigators in this study designed, developed, and validated a semiautonomous Socially Assistive Robot to compare with a switch-adapted toy to determine robot effectiveness in quantity of, changes in, and differences in engagement. After interacting with both systems for three sessions each, five of the eight subjects showed a greater level of positive engagement with the robot than the switch-adapted toy, while the remaining three subjects showed slightly higher positive engagement with the toy. The preliminary results of the study suggest that Socially Assistive Robots specifically designed for children with complex cerebral palsy should be further researched and utilized to enrich play interactions and skill development for this population.

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.

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