A Socially Assistive Robot to Help With Getting Dressed

Author(s):  
Leo Woiceshyn ◽  
Yuchi Wang ◽  
Goldie Nejat ◽  
Beno Benhabib

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.

2017 ◽  
Vol 41 (S1) ◽  
pp. S104-S104
Author(s):  
S. Loi ◽  
R. Khosla ◽  
K. Nguyen ◽  
N. Lautenschlager ◽  
D. Velakoulis

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.


2011 ◽  
Vol 08 (01) ◽  
pp. 103-126 ◽  
Author(s):  
JEANIE CHAN ◽  
GOLDIE NEJAT ◽  
JINGCONG CHEN

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.


Author(s):  
Goldie Nejat ◽  
Maurizio Ficocelli

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.


Author(s):  
Goldie Nejat ◽  
Brian Allison ◽  
Nadia Gomez ◽  
Andrew Rosenfeld

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.


Author(s):  
Brian Allison ◽  
Goldie Nejat

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.


2008 ◽  
Vol 1 (1) ◽  
Author(s):  
Brian Allison ◽  
Goldie Nejat ◽  
Emmeline Kao

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.


2018 ◽  
Vol 23 (4) ◽  
pp. 596-612 ◽  
Author(s):  
Clara J Moerman ◽  
Loek van der Heide ◽  
Marcel Heerink

Hospitalization is a stressful experience for children. Socially assistive robots (SARs), designed to interact with humans, might be a means to mitigate a child’s stress and support its well-being. A systematic state-of-the-art review was performed to inventorize the use of SARs in hospital to support children’s well-being and what the effects are. We searched five databases (Cinahl, Medline, Embase, PsycInfo, IEEE), combining terms for ‘distress’, ‘relaxation’ and ‘well-being’ with terms for social robot and child, and did an additional hand search. Ten publications (on eight studies) out of 563 unique titles were considered relevant. Six different robots were used (one humanoid, five pet-like) for distraction during medical procedure, emotional support for dealing with a disease or support of well-being during hospital stay. Positive effects on the children were noted, such as experiencing distraction and engagement, and less stress or pain, more relaxation, smiling and openness or better communication. On a psychiatric ward some youngsters felt unsafe with the robot. The outcomes suggest that SARs may have a potentially positive influence on a child’s well-being. Further research is needed to determine the effect of using SARs and how to integrate the use in the working routines of health personnel.


Sensors ◽  
2021 ◽  
Vol 21 (24) ◽  
pp. 8414
Author(s):  
João Antonio Campos Panceri ◽  
Éberte Freitas ◽  
Josiany Carlos de Souza ◽  
Sheila da Luz Schreider ◽  
Eliete Caldeira ◽  
...  

This work introduces a new socially assistive robot termed MARIA T21 (meaning “Mobile Autonomous Robot for Interaction with Autistics”, with the addition of the acronym T21, meaning “Trisomy 21”, which is used to designate individuals with Down syndrome). This new robot is used in psychomotor therapies for children with Down syndrome (contributing to improve their proprioception, postural balance, and gait) as well as in psychosocial and cognitive therapies for children with autism spectrum disorder. The robot uses, as a novelty, an embedded mini-video projector able to project Serious Games on the floor or tables to make already-established therapies funnier to these children, thus creating a motivating and facilitating effect for both children and therapists. The Serious Games were developed in Python through the library Pygame, considering theoretical bases of behavioral psychology for these children, which are integrated into the robot through the robot operating system (ROS). Encouraging results from the child–robot interaction are shown, according to outcomes obtained from the application of the Goal Attainment Scale. Regarding the Serious Games, they were considered suitable based on both the “Guidelines for Game Design of Serious Games for Children” and the “Evaluation of the Psychological Bases” used during the games’ development. Thus, this pilot study seeks to demonstrate that the use of a robot as a therapeutic tool together with the concept of Serious Games is an innovative and promising tool to help health professionals in conducting therapies with children with autistic spectrum disorder and Down syndrome. Due to health issues imposed by the COVID-19 pandemic, the sample of children was limited to eight children (one child with typical development, one with Trisomy 21, both female, and six children with ASD, one girl and five boys), from 4 to 9 years of age. For the non-typically developing children, the inclusion criterion was the existence of a conclusive diagnosis and fulfillment of at least 1 year of therapy. The protocol was carried out in an infant psychotherapy room with three video cameras, supervised by a group of researchers and a therapist. The experiments were separated into four steps: The first stage was composed of a robot introduction followed by an approximation between robot and child to establish eye contact and assess proxemics and interaction between child/robot. In the second stage, the robot projected Serious Games on the floor, and emitted verbal commands, seeking to evaluate the child’s susceptibility to perform the proposed tasks. In the third stage, the games were performed for a certain time, with the robot sending messages of positive reinforcement to encourage the child to accomplish the game. Finally, in the fourth stage, the robot finished the games and said goodbye to the child, using messages aiming to build a closer relationship with the child.


2021 ◽  
Vol 13 (18) ◽  
pp. 10394
Author(s):  
Sylwia Łukasik ◽  
Sławomir Tobis ◽  
Julia Suwalska ◽  
Dorota Łojko ◽  
Maria Napierała ◽  
...  

The rapid development of new technologies has caused interest in the use of socially assistive robots in the care of older people. These devices can be used not only to monitor states of health and assist in everyday activities but also to counteract the deterioration of cognitive functioning. The aim of the study was to investigate the attitudes and preferences of Polish respondents towards interventions aimed at the preservation/improvement of cognitive functions delivered by a socially assistive robot. A total of 166 individuals entered the study. Respondents completed the User’s Needs, Requirements and Attitudes Questionnaire; items connected to cognitive and physical activity and social interventions were analyzed. Perceptions and attitudes were compared by gender and age groups (older adults ≥ 60 years old and younger adults 20–59). Women showed a more positive attitude towards robots than men and had a significantly higher perception of the role of the robots in reminding about medications (p = 0.033) as well as meal times and drinks (p = 0.018). There were no significant differences between age groups. Respondents highly valued both the traditional role of the robot—a reminding function—as well as the cognitive interventions and guided physical exercises provided by it. Our findings point to the acceptance of the use of socially assistive robots in the prevention of cognitive deterioration in older people.


Sign in / Sign up

Export Citation Format

Share Document